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Jing Tang

Active 1998–2026

Also published as
Jing-Tang
992
Papers
68,011
Citations
133
h-index
679
i10-index

Citations

Citations per year for Jing Tang1920: 2 citations1977: 1 citations1980: 1 citations1986: 1 citations1988: 1 citations1993: 11 citations1994: 1 citations1997: 1 citations1998: 1 citations1999: 1 citations2000: 5 citations2001: 6 citations2002: 20 citations2003: 13 citations2004: 15 citations2005: 21 citations2006: 30 citations2007: 29 citations2008: 49 citations2009: 65 citations2010: 96 citations2011: 91 citations2012: 117 citations2013: 153 citations2014: 199 citations2015: 286 citations2016: 365 citations2017: 556 citations2018: 608 citations2019: 1,340 citations2020: 1,796 citations2021: 2,241 citations2022: 2,577 citations2023: 2,158 citations2024: 3,581 citations2025: 2,700 citations2026: 651 citations2027: 2 citations1921–1976: no citations, so these years are not shown1978–1979: no citations, so these years are not shown1981–1985: no citations, so these years are not shown1987: no citations, so this year is not shown1989–1992: no citations, so these years are not shown1995–1996: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 8,311 citing papers, 33.9% of this breakdownUnited States: 3,467 citing papers, 14.1% of this breakdownUnited Kingdom: 1,000 citing papers, 4.1% of this breakdownGermany: 778 citing papers, 3.2% of this breakdownIndia: 757 citing papers, 3.1% of this breakdownAustralia: 701 citing papers, 2.9% of this breakdownSouth Korea: 585 citing papers, 2.4% of this breakdownCanada: 574 citing papers, 2.3% of this breakdownItaly: 535 citing papers, 2.2% of this breakdownJapan: 480 citing papers, 1.9% of this breakdownFrance: 478 citing papers, 1.9% of this breakdownSingapore: 416 citing papers, 1.7% of this breakdown
0%33.9%Other 26.3%

Institutions

Fields

  • Medicine23.2%
  • Biochemistry, Genetics and Molecular Biology21.3%
  • Computer Science19.5%
  • Engineering7.2%
  • Materials Science6.2%
  • Energy3.4%
  • Other19.2%

Topics

  • Computational Drug Discovery Methods3.3%
  • Advanced biosensing and bioanalysis techniques1.5%
  • Bioinformatics and Genomic Networks1.5%
  • Cancer-related molecular mechanisms research1.1%
  • RNA modifications and cancer0.9%
  • Ferroptosis and cancer prognosis0.9%
  • Other90.8%

Coauthors

All papers

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  1. A Survey on Mixture of Experts in Large Language Models

    Authors: Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2024 cited by 246

  2. Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

    Authors: Jing Tang, Agnieszka Szwajda, Sushil Kumar Shakyawar, Tao Xu, Petteri Hintsanen, Krister Wennerberg, Tero Aittokallio - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2014 cited by 629

  3. Wireless, closed-loop, smart bandage with integrated sensors and stimulators for advanced wound care and accelerated healing

    Authors: Yuanwen Jiang, Artem A. Trotsyuk, Simiao Niu, Dominic Henn, Kellen Chen, Chien‐Chung Shih, Madelyn R. Larson, Alana M. Mermin-Bunnell, Smiti Mittal, Jian‐Cheng Lai, Aref Saberi, Ethan Beard, Serena L. Jing, Donglai Zhong, Sydney R. Steele, Kefan Sun, Tanish Jain, Eric T. Zhao, Christopher R. Neimeth, Willian G. Viana, Jing Tang, Dharshan Sivaraj, Jagannath Padmanabhan, Mélanie Rodrigues, David Perrault, Arhana Chattopadhyay, Zeshaan N. Maan, Melissa C. Leeolou, Clark A. Bonham, Sun Hyung Kwon, Hudson C. Kussie, Katharina S. Fischer, Gurupranav Gurusankar, Kui Liang, Kailiang Zhang, Ronjon Nag, M Snyder, Michael Januszyk, Geoffrey C. Gurtner, Zhenan Bao - Nature Biotechnology 2022 cited by 508

  4. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    Authors: Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, AIX-COVNET, Alessandro Ruggiero, Anna Korhonen, Emily Jefferson, Emmanuel Ako, Georg Langs, Ghassem Gozaliasl, Guang Yang, Helmut Prosch, Jacobus Preller, Jan Stanczuk, Jing Tang, Johannes Hofmanninger, Judith Babar, Lorena Escudero Sánchez, Muhunthan Thillai, Paula Martin Gonzalez, Philip Teare, Xiaoxiang Zhu, Mishal Patel, Conor Cafolla, Hojjat Azadbakht, Joseph Jacob, Josh Lowe, Kang Zhang, Kyle Bradley, Marcel Wassin, Markus Holzer, Kangyu Ji, Maria Delgado Ortet, Tao Ai, Nicholas Walton, Pietro Lio, Samuel Stranks, Tolou Shadbahr, Weizhe Lin, Yunfei Zha, Zhangming Niu, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 937

  5. Oral squamous cell carcinomas: state of the field and emerging directions

    Authors: Yunhan Tan, Zhihan Wang, Mengtong Xu, Bowen Li, Zhao Huang, Siyuan Qin, Edouard C. Nice, Jing Tang, Canhua Huang - International Journal of Oral Science 2023 cited by 703

  6. Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model

    Authors: Bhagwan Yadav, Krister Wennerberg, Tero Aittokallio, Jing Tang - Computational and Structural Biotechnology Journal 2015 cited by 878

  7. Toward more realistic drug-target interaction predictions

    Authors: Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio - Briefings in Bioinformatics, Briefings Bioinform. 2014 cited by 560

  8. A tissue-like neurotransmitter sensor for the brain and gut

    Authors: Jinxing Li, Yuxin Liu, Lei Yuan, Baibing Zhang, Estelle Spear Bishop, Kecheng Wang, Jing Tang, Yu‐Qing Zheng, Wenhui Xu, Simiao Niu, Levent Beker, Thomas L. Li, Gan Chen, Modupeola Diyaolu, Anne‐Laure Thomas, Vittorio Mottini, Jeffrey B.‐H. Tok, James Dunn, Bianxiao Cui, Sergiu P. Pașca, Yi Cui, Aida Habtezion, Xiaoke Chen, Zhenan Bao - Nature 2022 cited by 431

  9. Common and rare variant associations with clonal haematopoiesis phenotypes

    Authors: Michael D. Kessler, Amy Damask, Sean O’Keeffe, Nilanjana Banerjee, Dadong Li, Kyoko Watanabe, Anthony Marketta, Michael Van Meter, Stefan Semrau, Julie Horowitz, Jing Tang, Jack A. Kosmicki, Veera M. Rajagopal, Yuxin Zou, Yariv Houvras, Arkopravo Ghosh, Christopher E. Gillies, Joelle Mbatchou, Ryan R. White, Niek Verweij, Jonas Bovijn, Neelroop Parikshak, Michelle G. LeBlanc, Marcus B. Jones, David J. Glass, Luca A. Lotta, Michael Cantor, Gurinder S. Atwal, Adam E. Locke, Manuel A. R. Ferreira, Raquel P. Deering, Charles Paulding, Alan R. Shuldiner, Gavin Thurston, Adolfo A. Ferrando, Will Salerno, Jeffrey G. Reid, John D. Overton, Jonathan Marchini, Hyun Min Kang, Aris Baras, Gonçalo R. Abecasis, Eric Jorgenson - Nature 2022 cited by 304

  10. Simvastatin induced ferroptosis for triple-negative breast cancer therapy

    Authors: Xianxian Yao, Ruihong Xie, Yongbin Cao, Jing Tang, Yongzhi Men, Haibao Peng, Wuli Yang - Journal of Nanobiotechnology 2021 cited by 220

  11. Classifying and measuring the service quality of AI chatbot in frontline service

    Authors: Qian Chen, Yeming Gong, Yaobin Lu, Jing Tang - Journal of Business Research 2022 cited by 209

  12. Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

    Authors: Caroline Gevaert, Juha Suomalainen, Jing Tang, Lammert Kooistra - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2015 cited by 361

  13. DrugComb: an integrative cancer drug combination data portal

    Authors: Bulat Zagidullin, Jehad Aldahdooh, Shuyu Zheng, Wenyu Wang, Yinyin Wang, Joseph Saad, Alina Malyutina, Mohieddin Jafari, ZiaurRehman Tanoli, Alberto Pessia, Jing Tang - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 273

  14. UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning

    Authors: Sule Bai, Mingxing Li, Yong Liu, Jing Tang, Haoji Zhang, Lei Sun, Xiangxiang Chu, Yansong Tang - ArXiv.org, CoRR 2025 cited by 61

  15. Unraveling mitochondria‐targeting reactive oxygen species modulation and their implementations in cancer therapy by nanomaterials

    Authors: Haibao Peng, Feibai Yao, Jiaxu Zhao, Wei Zhang, Lingchao Chen, Xin Wang, Peng Yang, Jing Tang, Yudan Chi - Exploration 2023 cited by 168

  16. SynergyFinder: a web application for analyzing drug combination dose-response matrix data

    Authors: Aleksandr Ianevski, Liye He, Tero Aittokallio, Jing Tang - Bioinformatics, Bioinform. 2017 cited by 569

  17. GraphscoreDTA: optimized graph neural network for protein-ligand binding affinity prediction

    Authors: Kaili Wang, Renyi Zhou, Jing Tang, Min Li - Bioinformatics, Bioinform. 2023 cited by 91

  18. Drug-induced oxidative stress in cancer treatments: Angel or devil?

    Authors: Hao Jiang, Jing Zuo, Bowen Li, Rui Chen, Kangjia Luo, Xionghua Xiang, Shuaijun Lu, Canhua Huang, Lin Liu, Jing Tang, Feng Gao - Redox Biology 2023 cited by 213

  19. Three-dimensional bioprinted glioblastoma microenvironments model cellular dependencies and immune interactions

    Authors: Min Tang, Qi Xie, Ryan C. Gimple, Zheng Zhong, Trevor Tam, Jing Tian, Reilly L. Kidwell, Qiulian Wu, Briana C. Prager, Zhixin Qiu, Aaron Yu, Zhe Zhu, Pinar Mesci, Hui Jing, Jacob Schimelman, Pengrui Wang, Derrick Lee, Michael H. Lorenzini, Deobrat Dixit, Linjie Zhao, Shruti Bhargava, Tyler E. Miller, Xueyi Wan, Jing Tang, Bingjie Sun, Benjamin F. Cravatt, Alysson R. Muotri, Shaochen Chen, Jeremy N. Rich - Cell Research 2020 cited by 280

  20. Drug repositioning with adaptive graph convolutional networks

    Authors: Xinliang Sun, Jia Xiao, Zhangli Lu, Jing Tang, Min Li - Bioinformatics, Bioinform. 2023 cited by 61

  21. Online Processing Algorithms for Influence Maximization

    Authors: Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan - Conference on Management of Data, SIGMOD Conference 2018 cited by 173

  22. A pharmacophore-guided deep learning approach for bioactive molecular generation

    Authors: Huimin Zhu, Renyi Zhou, Dongsheng Cao, Jing Tang, Min Li - Nature Communications 2023 cited by 80

  23. TreeRPO: Tree Relative Policy Optimization

    Authors: Zhicheng Yang, Zhijiang Guo, Yinya Huang, Xiaodan Liang, Yiwei Wang, Jing Tang - ArXiv.org, CoRR 2025 cited by 45

  24. Process-Driven Autoformalization in Lean 4

    Authors: Jianqiao Lu, Yingjia Wan, Zheng‐Ying Liu, Yinya Huang, Xiong, Jing, Liu, Chengwu, Shen, Jianhao, Jin, Hui, Zhang, Jipeng, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo - arXiv (Cornell University), CoRR 2024 cited by 45