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Jianmin Wang

Active 1978–2027

Also published as
JianMin Wang
915
Papers
84,831
Citations
125
h-index
520
i10-index

Citations

Citations per year for Jianmin Wang1959: 1 citations1968: 1 citations1978: 2 citations1979: 1 citations1984: 1 citations1994: 2 citations1995: 2 citations1996: 4 citations1997: 2 citations1998: 1 citations1999: 1 citations2000: 6 citations2001: 1 citations2002: 8 citations2003: 17 citations2004: 41 citations2005: 51 citations2006: 97 citations2007: 98 citations2008: 139 citations2009: 143 citations2010: 189 citations2011: 228 citations2012: 427 citations2013: 573 citations2014: 669 citations2015: 720 citations2016: 933 citations2017: 1,145 citations2018: 1,722 citations2019: 3,260 citations2020: 4,107 citations2021: 4,327 citations2022: 3,566 citations2023: 3,690 citations2024: 4,518 citations2025: 3,505 citations2026: 916 citations2027: 1 citations1960–1967: no citations, so these years are not shown1969–1977: no citations, so these years are not shown1980–1983: no citations, so these years are not shown1985–1993: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 11,918 citing papers, 31.6% of this breakdownUnited States: 7,038 citing papers, 18.7% of this breakdownUnited Kingdom: 1,873 citing papers, 5% of this breakdownGermany: 1,824 citing papers, 4.8% of this breakdownAustralia: 1,286 citing papers, 3.4% of this breakdownCanada: 992 citing papers, 2.6% of this breakdownItaly: 935 citing papers, 2.5% of this breakdownFrance: 831 citing papers, 2.2% of this breakdownHong Kong: 787 citing papers, 2.1% of this breakdownIndia: 776 citing papers, 2.1% of this breakdownNetherlands: 757 citing papers, 2% of this breakdownSouth Korea: 679 citing papers, 1.8% of this breakdown
0%31.6%Other 21.2%

Institutions

Fields

  • Computer Science42.7%
  • Medicine20.2%
  • Biochemistry, Genetics and Molecular Biology10.9%
  • Engineering7.9%
  • Business, Management and Accounting5.3%
  • Neuroscience1.8%
  • Other11.2%

Topics

  • Domain Adaptation and Few-Shot Learning5.6%
  • Multimodal Machine Learning Applications3.5%
  • Advanced Image and Video Retrieval Techniques2.4%
  • Advanced MRI Techniques and Applications2.1%
  • Business Process Modeling and Analysis1.9%
  • Anomaly Detection Techniques and Applications1.6%
  • Other82.9%

Coauthors

All papers

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  1. TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

    Authors: Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long - ICLR 2023 cited by 2,378

  2. PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

    Authors: Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2022 cited by 577

  3. Generalized autocalibrating partially parallel acquisitions (GRAPPA)

    Authors: Mark A. Griswold, Peter M. Jakob, Robin M. Heidemann, Mathias Nittka, Vladimı́r Jellús̆, Jianmin Wang, Berthold Kiefer, Axel Haase - Magnetic Resonance in Medicine 2002 cited by 5,319

  4. Transfer Feature Learning with Joint Distribution Adaptation

    Authors: Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu - IEEE International Conference on Computer Vision, ICCV 2013 cited by 2,019

  5. Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

    Authors: Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long - NeurIPS 2021 cited by 5,166

  6. Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

    Authors: Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long - ICLR 2022 cited by 1,115

  7. Learning Transferable Features with Deep Adaptation Networks

    Authors: Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan - ICML 2015 cited by 6,016

  8. Multi-Adversarial Domain Adaptation

    Authors: Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang - AAAI Conference on Artificial Intelligence 2018 cited by 881

  9. Transferable Representation Learning with Deep Adaptation Networks

    Authors: Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2018 cited by 666

  10. Universal Domain Adaptation

    Authors: Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 483

  11. Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting

    Authors: Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 940

  12. Deep Time Series Models: A Comprehensive Survey and Benchmark

    Authors: Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Chen Wang, Mingsheng Long, Jianmin Wang - IEEE Transactions on Pattern Analysis and Machine Intelligence 2026 cited by 148

  13. Skilful nowcasting of extreme precipitation with NowcastNet

    Authors: Yuchen Zhang, Mingsheng Long, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin, Michael I. Jordan, Jianmin Wang - Nature, Nat. 2023 cited by 397

  14. Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

    Authors: Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng - Nature Machine Intelligence, Nat. Mac. Intell. 2022 cited by 268

  15. Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance

    Authors: Sheng‐Yu Ku, Spencer R. Rosario, Yanqing Wang, Ping Mu, Mukund Seshadri, Zachary Goodrich, Maxwell M. Goodrich, David P. Labbé, Eduardo Cortes Gomez, Jianmin Wang, Henry W. Long, Bo Xu, Myles Brown, Massimo Loda, Charles L. Sawyers, Leigh Ellis, David W. Goodrich - Science 2017 cited by 1,122

  16. Transolver: A Fast Transformer Solver for PDEs on General Geometries

    Authors: Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long - ICML 2024 cited by 308

  17. Towards Natural Language Interfaces for Data Visualization: A Survey

    Authors: Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang - IEEE Transactions on Visualization and Computer Graphics, IEEE Trans. Vis. Comput. Graph. 2022 cited by 163

  18. Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

    Authors: Daniel K. Wells, Marit M. van Buuren, Kristen K. Dang, Vanessa M. Hubbard-Lucey, Kathleen C. F. Sheehan, Katie M. Campbell, Andrew Lamb, Jeffrey P. Ward, John Sidney, Ana-Belén Blázquez, Andrew J. Rech, Jesse M. Zaretsky, Begonya Comin-Anduix, Alphonsus H. C. Ng, William Chour, Thomas Yu, Hira Rizvi, Jia M. Chen, Patrice Manning, Gabriela Steiner, Xengie Doan, Aly A. Khan, Amit A. Lugade, Ana Mijalkovic Lazic, Angela Frentzen, Arbel D. Tadmor, Ariella Sasson, Arjun A. Rao, Baikang Pei, Barbara Schrörs, Beata Berent-Maoz, Beatriz M. Carreno, Bin Song, Bjoern Peters, Bo Li, Brandon W. Higgs, Brian J. Stevenson, Christian Iseli, Christopher A. Miller, Christopher Morehouse, Cornelis J.M. Melief, Cristina Puig-Saus, Daphne M. van Beek, David Balli, David Gfeller, David Haussler, Dirk Jäger, Eduardo Cortes, Ekaterina Esaulova, Elham Sherafat, Francisco Arcila, Gábor Bartha, Geng Liu, George Coukos, Guilhem Richard, Chang Han, Han Si, Inka Zörnig, Ioannis Xénarios, Ion Măndoiu, Irsan Kooi, James Conway, Jan H. Kessler, Jason Greenbaum, Jason Perera, Jason Harris, Jasreet Hundal, Jennifer Shelton, Jianmin Wang, Jiaqian Wang, Joel Greshock, Jonathon Blake, Joseph D. Szustakowski, Julia Kodysh, Juliet Forman, Lei Wei, Leo J. Lee, Lorenzo F. Fanchi, Maarten Slagter, Maren Lang, Markus S. Mueller, Martin Löwer, Mathias Vormehr, Maxim N. Artyomov, Michael Kuziora, Michael F. Princiotta, Michal Bassani‐Sternberg, Mignonette H. Macabali, Milica Kojicic, Naibo Yang, Nevena Ilic Raicevic, Nicolas Guex, Nicolas Robine, Niels Halama, Nikola Skundric, Ognjen Milićević, Pascal Gellert, Patrick Jongeneel, Pornpimol Charoentong, Pramod K. Srivastava and 45 more - Cell 2020 cited by 550

  19. Process Mining Manifesto

    Authors: Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John L. Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf B. Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, Ronny S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid Reza Motahari‐Nezhad, Michael zur Muehlen, Jorge Muñoz-Gama, Luigi Pontieri, Joël Ribeiro, A. Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Christopher Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn - Lecture notes in business information processing, Business Process Management Workshops (1) 2011 cited by 1,203

  20. TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

    Authors: Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long - NeurIPS 2024 cited by 469

  21. Interpretable weather forecasting for worldwide stations with a unified deep model

    Authors: Haixu Wu, Hang Zhou, Mingsheng Long, Jianmin Wang - Nature Machine Intelligence, Nat. Mac. Intell. 2023 cited by 134

  22. MUFFIN: multi-scale feature fusion for drug-drug interaction prediction

    Authors: Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng - Bioinformatics, Bioinform. 2021 cited by 200

  23. Fungal mycobiome drives IL-33 secretion and type 2 immunity in pancreatic cancer

    Authors: Aftab Alam, Eric Levanduski, Parker Denz, Helena Solleiro Villavicencio, Maulasri Bhatta, Lamees Alhorebi, Yali Zhang, Eduardo Cortes Gomez, Brian Morreale, Sharon Senchanthisai, Jun Li, Steven G. Turowski, Sandra Sexton, Sheila Jani Sait, Prashant K. Singh, Jianmin Wang, Anirban Maitra, Paweł Kaliński, Ronald A. DePinho, Huamin Wang, Wenting Liao, Scott I. Abrams, Brahm H. Segal, Prasenjit Dey - Cancer Cell 2022 cited by 379

  24. Partial Adversarial Domain Adaptation

    Authors: Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang - Lecture notes in computer science, ECCV (8) 2018 cited by 471