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Ke Zhang

Active 1985–2027

This name may cover more than one researcher. The papers and figures on this page are everything published under it, so they may combine several different people.

Also published as
Ke zhang
2,325
Papers
114,689
Citations
170
h-index
1,317
i10-index

Citations

Citations per year for Ke Zhang1964: 1 citations1965: 1 citations1967: 1 citations1971: 1 citations1974: 1 citations1976: 1 citations1986: 2 citations1987: 4 citations1988: 1 citations1989: 2 citations1990: 6 citations1991: 20 citations1992: 15 citations1993: 27 citations1994: 15 citations1995: 10 citations1996: 17 citations1997: 31 citations1998: 35 citations1999: 41 citations2000: 30 citations2001: 19 citations2002: 23 citations2003: 28 citations2004: 28 citations2005: 50 citations2006: 85 citations2007: 83 citations2008: 107 citations2009: 171 citations2010: 224 citations2011: 368 citations2012: 442 citations2013: 566 citations2014: 610 citations2015: 723 citations2016: 846 citations2017: 1,064 citations2018: 1,387 citations2019: 3,174 citations2020: 4,490 citations2021: 5,147 citations2022: 5,107 citations2023: 5,454 citations2024: 7,748 citations2025: 5,557 citations2026: 875 citations2027: 5 citations1966: no citations, so this year is not shown1968–1970: no citations, so these years are not shown1972–1973: no citations, so these years are not shown1975: no citations, so this year is not shown1977–1985: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 18,864 citing papers, 31.8% of this breakdownUnited States: 8,755 citing papers, 14.8% of this breakdownUnited Kingdom: 2,677 citing papers, 4.5% of this breakdownGermany: 1,882 citing papers, 3.2% of this breakdownCanada: 1,840 citing papers, 3.1% of this breakdownIndia: 1,807 citing papers, 3% of this breakdownAustralia: 1,612 citing papers, 2.7% of this breakdownItaly: 1,481 citing papers, 2.5% of this breakdownSouth Korea: 1,354 citing papers, 2.3% of this breakdownFrance: 1,329 citing papers, 2.2% of this breakdownJapan: 1,232 citing papers, 2.1% of this breakdownSpain: 1,061 citing papers, 1.8% of this breakdown
0%31.8%Other 26%

Institutions

Fields

  • Computer Science27.2%
  • Medicine19.7%
  • Biochemistry, Genetics and Molecular Biology16.9%
  • Engineering16%
  • Agricultural and Biological Sciences3.2%
  • Environmental Science3.1%
  • Other13.9%

Topics

  • IoT and Edge/Fog Computing3%
  • Blockchain Technology Applications and Security1.5%
  • Privacy-Preserving Technologies in Data1.3%
  • Advanced biosensing and bioanalysis techniques1.1%
  • Vehicular Ad Hoc Networks (VANETs)1%
  • Advanced Breast Cancer Therapies0.8%
  • Other91.3%

Coauthors

All papers

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  1. Recent advances and clinical applications of deep learning in medical image analysis

    Authors: Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu - Medical Image Analysis, Medical Image Anal. 2022 cited by 1,010

  2. Digital Twin Networks: A Survey

    Authors: Yiwen Wu, Ke Zhang, Yan Zhang - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 cited by 802

  3. AI technologies for education: Recent research & future directions

    Authors: Ke Zhang, Ayse Begum Aslan - Computers and Education Artificial Intelligence, Comput. Educ. Artif. Intell. 2021 cited by 820

  4. Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

    Authors: Yunlong Lu, Xiaohong Huang, Ke Zhang, Sabita Maharjan, Yan Zhang - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2020 cited by 725

  5. Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks

    Authors: Yunlong Lu, Xiaohong Huang, Ke Zhang, Sabita Maharjan, Yan Zhang - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2020 cited by 480

  6. Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks

    Authors: Junhui Zhao, Qiuping Li, Yi Gong, Ke Zhang - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2019 cited by 792

  7. Apalutamide for Metastatic, Castration-Sensitive Prostate Cancer

    Authors: Kim N., Neeraj Agarwal, Anders Bjartell, Byung Ha Chung, Andrea Juliana Gomes, Robert Given, Álvaro Juárez Soto, Axel S. Merseburger, Mustafa Özgüroğlu, Hirotsugu Uemura, Dingwei Ye, Kris Deprince, Vahid Naini, Jinhui Li, Shinta Cheng, Margaret K. Yu, Ke Zhang, Julie S. Larsen, Sharon McCarthy, Simon Chowdhury - New England Journal of Medicine 2019 cited by 1,513

  8. Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction

    Authors: Jin Fan, Ke Zhang, Yipan Huang, Yifei Zhu, Baiping Chen - Neural Computing and Applications, Neural Comput. Appl. 2021 cited by 393

  9. Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks

    Authors: Ke Zhang, Jiayu Cao, Yan Zhang - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2021 cited by 304

  10. Glial Lipid Droplets and ROS Induced by Mitochondrial Defects Promote Neurodegeneration

    Authors: Lucy Liu, Ke Zhang, Héctor Sandoval, Shinya Yamamoto, Manish Jaiswal, Elisenda Sanz, Zhihong Li, Jessica Hui, Brett H. Graham, Albert Quintana, Hugo J. Bellen - Cell 2015 cited by 916

  11. Fulvestrant plus palbociclib versus fulvestrant plus placebo for treatment of hormone-receptor-positive, HER2-negative metastatic breast cancer that progressed on previous endocrine therapy (PALOMA-3): final analysis of the multicentre, double-blind, phase 3 randomised controlled trial

    Authors: Massimo Cristofanilli, Nicholas C. Turner, Igor Bondarenko, Jungsil Ro, Seock‐Ah Im, Norikazu Masuda, Marco Colleoni, Angela DeMichele, Sherene Loi, Sunil Verma, Hiroji Iwata, Nadia Harbeck, Ke Zhang, Kathy Puyana Theall, Yuqiu Jiang, Cynthia Huang Bartlett, María Koehler, Dennis J. Slamon - The Lancet Oncology 2016 cited by 1,822

  12. DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning

    Authors: Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang - Conference on Software Engineering, ICSE 2022 cited by 166

  13. Clostridium species as probiotics: potentials and challenges

    Authors: Pingting Guo, Ke Zhang, Xi Ma, Pingli He - Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology 2020 cited by 600

  14. A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles

    Authors: Haoye Chai, Supeng Leng, Yijin Chen, Ke Zhang - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2020 cited by 316

  15. Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT

    Authors: Yunlong Lu, Xiaohong Huang, Ke Zhang, Sabita Maharjan, Yan Zhang - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2020 cited by 297

  16. Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks

    Authors: Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2020 cited by 285

  17. Palbociclib in Hormone-Receptor–Positive Advanced Breast Cancer

    Authors: Nicholas C. Turner, Jungsil Ro, Fabrice André, Sherene Loi, Sunil Verma, Hiroji Iwata, Nadia Harbeck, Sibylle Loibl, Cynthia Huang Bartlett, Ke Zhang, C. Giorgetti, Sophia Randolph, María Koehler, Massimo Cristofanilli - New England Journal of Medicine 2015 cited by 1,586

  18. The regulation of key flavor of traditional fermented food by microbial metabolism: A review

    Authors: Ke Zhang, Tingting Zhang, Ren-Rong Guo, Quan Ye, Huilin Zhao, Xu-Hui Huang - Food Chemistry X 2023 cited by 254

  19. Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks

    Authors: Yunlong Lu, Xiaohong Huang, Ke Zhang, Sabita Maharjan, Yan Zhang - IEEE Internet of Things Journal, IEEE Internet Things J. 2020 cited by 283

  20. Manganese‐Based Tumor Immunotherapy

    Authors: Ke Zhang, Chao Qi, Kaiyong Cai - Advanced Materials 2022 cited by 272

  21. Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions

    Authors: Yiyao An, Ke Zhang, Yi Chai, Qie Liu, Xinghua Huang - Expert Systems with Applications, Expert Syst. Appl. 2022 cited by 187

  22. An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition

    Authors: Jiusi Zhang, Ke Zhang, Yiyao An, Hao Luo, Shen Yin - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2023 cited by 199

  23. Apalutamide in Patients With Metastatic Castration-Sensitive Prostate Cancer: Final Survival Analysis of the Randomized, Double-Blind, Phase III TITAN Study

    Authors: Kim N., Simon Chowdhury, Anders Bjartell, Byung Ha Chung, Andrea Juliana Gomes, Robert Given, Álvaro Juárez, Axel S. Merseburger, Mustafa Özgüroğlu, Hirotsugu Uemura, Dingwei Ye, Sabine Brookman‐May, Suneel Mundle, Sharon McCarthy, Julie S. Larsen, Weili Sun, Katherine B. Bevans, Ke Zhang, Nibedita Bandyopadhyay, Neeraj Agarwal - Journal of Clinical Oncology 2021 cited by 508

  24. A reference human induced pluripotent stem cell line for large-scale collaborative studies

    Authors: Caroline B. Pantazis, Andrian Yang, Erika Lara, Justin A. McDonough, Cornelis Blauwendraat, Lirong Peng, Hideyuki Oguro, Jitendra Kumar Kanaujiya, Jizhong Zou, David P. Sebesta, Gretchen Pratt, Erin Cross, Jeffrey Blockwick, Philip Buxton, Lauren Kinner-Bibeau, Constance Medura, Christopher Tompkins, Stephen H. Hughes, Marianita Santiana, Faraz Faghri, Mike A. Nalls, Dan Vitale, Shannon Ballard, Yue Qi, Daniel M. Ramos, Kailyn Anderson, Julia T. Stadler, Priyanka Narayan, Jason Papademetriou, Luke Reilly, Matthew P. Nelson, Sanya Aggarwal, Leah U. Rosen, Peter Kirwan, Venkat Pisupati, Steven L. Coon, Sonja W. Scholz, Theresa Priebe, Miriam Öttl, Jian Dong, Marieke Meijer, Lara J.M. Janssen, Vanessa S. Lourenco, Rik van der Kant, Dennis Crusius, Dominik Paquet, Ana‐Caroline Raulin, Guojun Bu, Aaron Held, Brian J. Wainger, Rebecca Gabriele, Jackie M. Casey, Selina Wray, Dad Abu-Bonsrah, Clare L. Parish, Melinda S. Beccari, Don W. Cleveland, Emmy Li, Indigo V.L. Rose, Martin Kampmann, Carles Calatayud, Patrik Verstreken, Laurin Heinrich, Max Y. Chen, Birgitt Schüle, Dan Dou, Erika L.F. Holzbaur, Maria Clara Zanellati, Richa Basundra, Mohanish Deshmukh, Sarah Cohen, Richa Khanna, Malavika Raman, Zachary S. Nevin, Madeline Matia, Jonas Van Lent, Vincent Timmerman, Bruce R. Conklin, Katherine Johnson Chase, Ke Zhang, Salome Funes, Daryl A. Bosco, Lena Erlebach, Marc Welzer, Deborah Kronenberg‐Versteeg, Guochang Lyu, Ernest Arenas, Elena Coccia, Lily Sarrafha, Tim Ahfeldt, John C. Marioni, William C. Skarnes, Mark Cookson, Michael E. Ward, Florian T. Merkle - Cell stem cell 2022 cited by 304