default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLiangxiu Han
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j44]Tulasi Kavarakuntla, Liangxiu Han
, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. IEEE Access 12: 8207-8219 (2024)- [j43]Sheng Chang, Zelong Chi, Hong Chen, Tongle Hu, Caixia Gao, Jihua Meng, Liangxiu Han:
Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [i15]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Darren Dancey:
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation. CoRR abs/2404.17335 (2024) - 2023
- [j42]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Access 11: 108603-108616 (2023) - [j41]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. 149: 432-444 (2023) - [j40]Xin Zhang, Liangxiu Han:
A Generic Self-Supervised Learning (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery. Remote. Sens. 15(21): 5238 (2023) - [j39]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang:
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE J. Biomed. Health Informatics 27(2): 980-991 (2023) - [i14]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. CoRR abs/2302.08967 (2023) - [i13]Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. CoRR abs/2305.11665 (2023) - [i12]Xin Zhang, Liangxiu Han:
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery. CoRR abs/2306.15836 (2023) - [i11]Yue Shi, Liangxiu Han, Pablo González-Moreno, Darren Dancey, Wenjiang Huang, Zhiqiang Zhang, Yuanyuan Liu, Mengning Huang, Hong Miao, Min Dai:
A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Data. CoRR abs/2306.17207 (2023) - 2022
- [j38]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. IEEE Access 10: 77950-77961 (2022) - [j37]Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu:
Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery. Remote. Sens. 14(2): 396 (2022) - [j36]Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi:
The Self-Supervised Spectral-Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery. Remote. Sens. 14(6): 1400 (2022) - [j35]Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j34]Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j33]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE J. Biomed. Health Informatics 26(11): 5289-5297 (2022) - [i10]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR abs/2207.11019 (2022) - [i9]Christopher Carr, Shenglin Wang, Peng Wang, Liangxiu Han:
Attacking Digital Twins of Robotic Systems to Compromise Security and Safety. CoRR abs/2211.09507 (2022) - 2021
- [j32]Xin Zhang, Liangxiu Han, Mark Robinson, Anthony Gallagher:
A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data. IEEE Access 9: 39009-39018 (2021) - [j31]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for Multisubject fMRI Data Alignment. IEEE Trans. Cogn. Dev. Syst. 13(3): 475-490 (2021) - [j30]Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang:
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging 40(9): 2354-2366 (2021) - [i8]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR abs/2104.05035 (2021) - [i7]Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu:
A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery. CoRR abs/2107.13277 (2021) - [i6]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina C. Dempsey-Hibbert, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White:
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images. CoRR abs/2110.10813 (2021) - [i5]Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi:
The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery. CoRR abs/2111.06839 (2021) - [i4]Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution. CoRR abs/2111.08685 (2021) - 2020
- [j29]Liangxiu Han, Daoqiang Zhang, Omer F. Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily:
IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access 8: 216617-216622 (2020) - [j28]Weichao Ding, Fei Luo, Liangxiu Han, Chunhua Gu, Haifeng Lu, Joel Fuentes:
Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers. Future Gener. Comput. Syst. 111: 254-270 (2020) - [j27]Ying Liu, Anthony Soroka, Liangxiu Han, Jin Jian, Min Tang:
Cloud-based big data analytics for customer insight-driven design innovation in SMEs. Int. J. Inf. Manag. 51: 102034 (2020) - [j26]Xin Zhang, Liangxiu Han, Lianghao Han, Liang Zhu:
How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? Remote. Sens. 12(3): 417 (2020) - [i3]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for multi-subject fMRI data alignment. CoRR abs/2001.02894 (2020) - [i2]Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification. CoRR abs/2004.08886 (2020) - [i1]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR abs/2008.04024 (2020)
2010 – 2019
- 2019
- [j25]Xueqin Zhang, Jiahao Chen, Yue Zhou, Liangxiu Han, Jiajun Lin:
A Multiple-Layer Representation Learning Model for Network-Based Attack Detection. IEEE Access 7: 91992-92008 (2019) - [j24]Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson:
A Novel Online Dynamic Temporal Context Neural Network Framework for the Prediction of Road Traffic Flow. IEEE Access 7: 153533-153541 (2019) - [j23]Yudong Zhang, Liangxiu Han, Zhengchao Dong:
Introduction to the special section on Advanced Signal Processing in Biomedical Imaging. Comput. Electr. Eng. 74: 635-639 (2019) - [j22]Ahmed E. Kamal, Liangxiu Han, Lu Liu, Sohail Jabbar:
Guest editorial: Special issue on software defined networking: Trends, challenges, and prospective smart solutions. Peer-to-Peer Netw. Appl. 12(2): 291-294 (2019) - [j21]Huiqin Ma, Wenjiang Huang, Yuanshu Jing, Chenghai Yang, Liangxiu Han, Yingying Dong, Huichun Ye, Yue Shi, Qiong Zheng, Linyi Liu, Chao Ruan:
Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote. Sens. 11(7): 846 (2019) - [j20]Xin Zhang, Liangxiu Han, Yingying Dong, Yue Shi, Wenjiang Huang, Lianghao Han, Pablo González-Moreno, Huiqin Ma, Huichun Ye, Tam Sobeih:
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images. Remote. Sens. 11(13): 1554 (2019) - [j19]Lijun Yang, Liangxiu Han, Naxin Liu:
A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals. Scientometrics 120(2): 507-517 (2019) - [c28]Muhammad Salman Haleem, Liangxiu Han, Peter J. Harding, Mark Ellison:
An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence. SMC 2019: 2279-2284 - [c27]Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson:
Prediction of Road Traffic Flow Based on Deep Recurrent Neural Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 102-109 - 2018
- [j18]Yudong Zhang, Yin Zhang, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han, Ming Yang, Carlo Cattani, Huimin Lu:
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging. IEEE Access 6: 61812-61818 (2018) - [j17]Shuihua Wang, Khan Muhammad, Yi-Ding Lv, Yuxiu Sui, Liangxiu Han, Yudong Zhang:
Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm. Complex. 2018: 3198184:1-3198184:13 (2018) - [j16]Siguang Li, Zhengwen Huang, Liangxiu Han, Changjun Jiang:
A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud. Concurr. Comput. Pract. Exp. 30(23) (2018) - [j15]Ibrahim Ghafir, Mohammad Hammoudeh, Vaclav Prenosil, Liangxiu Han, Robert Hegarty, Khaled M. Rabie, Francisco J. Aparicio-Navarro:
Detection of advanced persistent threat using machine-learning correlation analysis. Future Gener. Comput. Syst. 89: 349-359 (2018) - [j14]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming, Louis R. Pasquale, Brian J. Song:
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis. J. Medical Syst. 42(1): 20:1-20:18 (2018) - [c26]Adam Coates, Liangxiu Han, Anthony Kleerekoper:
A Unified Framework for Opinion Dynamics. AAMAS 2018: 1079-1086 - [c25]Adam Coates, Liangxiu Han, Anthony Kleerekoper:
A Unified Opinion Framework Simulator. AAMAS 2018: 1803-1805 - [c24]Zoe Bartlett, Liangxiu Han, Trung Thanh Nguyen, Princy Johnson:
A Machine Learning Based Approach for the Prediction of Road Traffic Flow on Urbanised Arterial Roads. HPCC/SmartCity/DSS 2018: 1285-1292 - [c23]Pouyan Dinarvand, Liangxiu Han, Adam Coates, Lianghao Han:
Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings. HPCC/SmartCity/DSS 2018: 1299-1304 - 2017
- [j13]Yudong Zhang, Xiaojun Yang, Carlo Cattani, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han:
Preface. Fundam. Informaticae 151(1-4): ix-xvi (2017) - [j12]Lianghao Han, Hua Dong, Jamie R. McClelland, Liangxiu Han, David J. Hawkes, Dean C. Barratt:
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. Medical Image Anal. 39: 87-100 (2017) - [c22]Liangxiu Han:
Towards Sustainable Smart Society: Big Data Driven Approaches. ICFNDS 2017: 3 - [c21]Ibrahim Ghafir, Vaclav Prenosil, Mohammad Hammoudeh, Liangxiu Han, Umar Raza:
Malicious SSL Certificate Detection: A Step Towards Advanced Persistent Threat Defence. ICFNDS 2017: 27 - [c20]J. K. Mohsin, Liangxiu Han, Mohammad Hammoudeh, Robert Hegarty:
Two Factor Vs Multi-factor, an Authentication Battle in Mobile Cloud Computing Environments. ICFNDS 2017: 39:1-39:10 - [c19]Liangxiu Han, Muhammad Salman Haleem, Tam Sobeih, Ying Liu, Anthony Soroka, Lianghao Han:
An Automated Cloud-Based Big Data Analytics Platform for Customer Insights. iThings/GreenCom/CPSCom/SmartData 2017: 287-292 - 2016
- [j11]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming, Louis R. Pasquale, Paolo S. Silva, Brian J. Song, Lloyd Paul Aiello:
Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images. J. Medical Syst. 40(6): 132:1-132:19 (2016) - [c18]José Luis Gomez Ortega, Liangxiu Han, Nicholas Bowring:
A Novel Dynamic Hidden Semi-Markov Model (D-HSMM) for Occupancy Pattern Detection from Sensor Data Stream. NTMS 2016: 1-5 - [c17]Jianquan Cheng, Nicholas Gould, Liangxiu Han, Cheng Jin:
Big Data for Urban Studies: Opportunities and Challenges: A Comparative Perspective. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 1229-1234 - 2015
- [j10]Liangxiu Han, Hwee Yong Ong:
Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Clust. Comput. 18(1): 403-418 (2015) - [j9]Shuihua Wang, MengMeng Chen, Yang Li, Yudong Zhang, Liangxiu Han, Jane Wu, Sidan Du:
Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks. Comput. Math. Methods Medicine 2015: 454076:1-454076:12 (2015) - [j8]Liangxiu Han, Hasim Altan, Masa Noguchi:
A Feasibility Study on Occupants' Behaviour and Energy Usage Patterns and Its Potential Integration with Building Information Modelling. Int. J. 3 D Inf. Model. 4(1): 45-53 (2015) - [j7]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming:
Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. IEEE J. Biomed. Health Informatics 19(4): 1472-1482 (2015) - [c16]Tamir Sobeih, Nick Whittaker, Liangxiu Han:
DIVINE: Building a Wearable Device for Intelligent Control of Environment Using Google Glass. CIT/IUCC/DASC/PICom 2015: 1280-1285 - [c15]Jianguang Tu, Jianquan Cheng, Liangxiu Han:
Big Data Computation for Workshop-Based Planning Support. CIT/IUCC/DASC/PICom 2015: 1510-1514 - [c14]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Alan Fleming:
Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. EMBC 2015: 4318-4321 - 2014
- [c13]Muhammad Jasim Saeed, Liangxiu Han, Maybin K. Muyeba:
An energy efficient and resource preserving target tracking approach for wireless sensor networks. CSNDSP 2014: 232-237 - [c12]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li, Alan Fleming:
Superpixel Based Retinal Area Detection in SLO Images. ICCVG 2014: 254-261 - 2013
- [j6]Muhammad Salman Haleem, Liangxiu Han, Jano I. van Hemert, Baihua Li:
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. Comput. Medical Imaging Graph. 37(7-8): 581-596 (2013) - [j5]Zeki Turedi, Liangxiu Han:
Automatic forensic log file analysis for Mac OS X systems. Int. J. Electron. Secur. Digit. Forensics 5(2): 124-138 (2013) - [c11]Maybin K. Muyeba, Liangxiu Han:
Fuzzy classification in web usage mining using fuzzy quantifiers. ASONAM 2013: 1381-1386 - [c10]Zheng Xie, Liangxiu Han, Richard A. Baldock:
Augmented Petri Net Cost Model for Optimisation of Large Bioinformatics Workflows Using Cloud. EMS 2013: 201-205 - [c9]Liangxiu Han, Zheng Xie, Richard A. Baldock:
Automatic data reuse for accelerating data intensive applications in the Cloud. ICITST 2013: 596-600 - [c8]Maybin K. Muyeba, Sandra Lewis, Liangxiu Han, John A. Keane:
Understanding Low Back Pain Using Fuzzy Association Rule Mining. SMC 2013: 3265-3270 - 2012
- [c7]Liangxiu Han, Hwee Yong Ong:
Accelerating Biomedical Data-Intensive Applications Using MapReduce. GRID 2012: 49-57 - 2011
- [j4]Liangxiu Han, Jano I. van Hemert, Richard A. Baldock:
Automatically identifying and annotating mouse embryo gene expression patterns. Bioinform. 27(8): 1101-1107 (2011) - [j3]Liangxiu Han, Chee Sun Liew, Jano I. van Hemert, Malcolm P. Atkinson:
A generic parallel processing model for facilitating data mining and integration. Parallel Comput. 37(3): 157-171 (2011) - 2010
- [j2]Liangxiu Han, Stephen Potter, George Beckett, Gavin J. Pringle, Stephen Welch, Sung-Han Koo, Gerhard Wickler, Asif Usmani, José L. Torero, Austin Tate:
FireGrid: An e-infrastructure for next-generation emergency response support. J. Parallel Distributed Comput. 70(11): 1128-1141 (2010) - [c6]Gagarine Yaikhom, Chee Sun Liew, Liangxiu Han, Jano I. van Hemert, Malcolm P. Atkinson, Amy Krause:
Federated Enactment of Workflow Patterns. Euro-Par (1) 2010: 317-328 - [c5]Chee Sun Liew, Malcolm P. Atkinson, Jano I. van Hemert, Liangxiu Han:
Towards optimising distributed data streaming graphs using parallel streams. HPDC 2010: 725-736
2000 – 2009
- 2009
- [c4]Liangxiu Han, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
Automating Gene Expression Annotation for Mouse Embryo. ADMA 2009: 469-478 - 2008
- [j1]Liangxiu Han, Dave Berry:
Semantic-supported and agent-based decentralized grid resource discovery. Future Gener. Comput. Syst. 24(8): 806-812 (2008) - 2007
- [c3]Liangxiu Han, Asen Asenov, Dave Berry, Campbell Millar, Gareth Roy, Scott Roy, Richard O. Sinnott, Gordon Stewart:
Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics. eScience 2007: 305-311 - 2005
- [c2]Ivan Dedinski, Hermann de Meer, Liangxiu Han, Laurent Mathy, Dimitrios P. Pezaros, Joseph S. Sventek, Xiaoying Zhan:
Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking. IWAN 2005: 13-27 - 2001
- [c1]Chuanshan Gao, Liangxiu Han, Zhiwei Cen, Chunbo Chu:
A New Multifractal Traffic Model Based on the Wavelet Transform. PDCS 2001: 157-162
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-25 20:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
