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Jia Wu

Active 2001–2026

Also published as
Jia WU
995
Papers
33,941
Citations
89
h-index
584
i10-index

Citations

Citations per year for Jia Wu1977: 1 citations1979: 1 citations1990: 1 citations1997: 1 citations2000: 1 citations2004: 1 citations2005: 4 citations2007: 3 citations2008: 3 citations2009: 7 citations2010: 29 citations2011: 26 citations2012: 55 citations2013: 56 citations2014: 109 citations2015: 143 citations2016: 190 citations2017: 409 citations2018: 676 citations2019: 1,059 citations2020: 1,533 citations2021: 2,173 citations2022: 2,520 citations2023: 2,641 citations2024: 3,712 citations2025: 3,110 citations2026: 799 citations2027: 3 citations1978: no citations, so this year is not shown1980–1989: no citations, so these years are not shown1991–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown2001–2003: no citations, so these years are not shown2006: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,901 citing papers, 38.1% of this breakdownUnited States: 2,649 citing papers, 12.8% of this breakdownAustralia: 1,044 citing papers, 5% of this breakdownIndia: 794 citing papers, 3.8% of this breakdownUnited Kingdom: 717 citing papers, 3.5% of this breakdownCanada: 479 citing papers, 2.3% of this breakdownGermany: 469 citing papers, 2.3% of this breakdownSouth Korea: 450 citing papers, 2.2% of this breakdownHong Kong: 415 citing papers, 2% of this breakdownItaly: 396 citing papers, 1.9% of this breakdownFrance: 349 citing papers, 1.7% of this breakdownSaudi Arabia: 276 citing papers, 1.3% of this breakdown
0%38.1%Other 23.1%

Institutions

Fields

  • Computer Science46.1%
  • Medicine17.1%
  • Engineering11.3%
  • Biochemistry, Genetics and Molecular Biology7.9%
  • Physics and Astronomy4%
  • Neuroscience2.4%
  • Other11.2%

Topics

  • Advanced Graph Neural Networks4.8%
  • Complex Network Analysis Techniques2.8%
  • Radiomics and Machine Learning in Medical Imaging2.3%
  • Topic Modeling2.3%
  • Recommender Systems and Techniques1.9%
  • Anomaly Detection Techniques and Applications1.9%
  • Other84%

Coauthors

All papers

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  1. Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

    Authors: Jia Wu, Xiu Yun Chen, Hao Zhang, Li Dong Xiong, Hang Lei, Sihao Deng - 2019 cited by 1,414

  2. A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

    Authors: Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun - International Journal of Machine Learning and Cybernetics, Int. J. Mach. Learn. Cybern. 2024 cited by 373

  3. A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage

    Authors: Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Syed Zohaib Hassan, Maged Shoman, Jia Wu, Seyedali Mirjalili, Mubarak Shah - TechRxiv 2023 cited by 352

  4. A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting

    Authors: Wenchao Weng, Jin Fan, Huifeng Wu, Yujie Hu, Hao Tian, Fu Zhu, Jia Wu - Pattern Recognition, Pattern Recognit. 2023 cited by 233

  5. A Comprehensive Survey on Community Detection With Deep Learning

    Authors: Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 cited by 333

  6. Infrared and visible image fusion via detail preserving adversarial learning

    Authors: Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang - Information Fusion, Inf. Fusion 2019 cited by 444

  7. Graph Structure Learning with Variational Information Bottleneck

    Authors: Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu - AAAI Conference on Artificial Intelligence 2022 cited by 163

  8. Antibody targeting of E3 ubiquitin ligases for receptor degradation

    Authors: Hadir Marei, Wen‐Ting K. Tsai, Yee-Seir Kee, Karen Ruiz, Jieyan He, Chris Cox, Tao Sun, Sai C. Penikalapati, Pankaj Dwivedi, Meena Choi, David Kan, Pablo Sáenz-López, Kristel M. Dorighi, Pamela Zhang, Yvonne T. Kschonsak, Noelyn M. Kljavin, Dhara N. Amin, Ingrid Kim, Andrew G. Mancini, Thao Nguyen, Chunling Wang, Eric Janezic, Alexander Doan, Elaine Mai, Hongkang Xi, Chen Gu, Melanie Heinlein, Brian Biehs, Jia Wu, Isabelle Lehoux, Seth F. Harris, Laëtitia Comps‐Agrar, Dhaya Seshasayee, Frédéric J. de Sauvage, Matthew Grimmer, Jing Li, Nicholas J. Agard, Felipe de Sousa e Melo - Nature 2022 cited by 255

  9. H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections

    Authors: Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu - Web Conference 2022, WWW 2022 cited by 136

  10. AI in drug discovery and its clinical relevance

    Authors: Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, Sheheryar Khan, Jia Wu, Muhammad Usman Hadi, John V. Heymach, Xiuning Le, Hong Yan, Tanvir Alam - Heliyon 2023 cited by 272

  11. eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks

    Authors: Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2022 cited by 166

  12. Neoadjuvant chemotherapy plus nivolumab with or without ipilimumab in operable non-small cell lung cancer: the phase 2 platform NEOSTAR trial

    Authors: Tina Cascone, Cheuk Hong Leung, Annikka Weissferdt, Apar Pataer, Brett W. Carter, Myrna C. B. Godoy, Hope Feldman, William N. William, Yuanxin Xi, Sreyashi Basu, Jing Sun, Shalini S. Yadav, Frank Rojas Alvarez, Younghee Lee, Aditya K. Mishra, Lili Chen, Monika Pradhan, Haiping Guo, Ansam Sinjab, Nicolas Zhou, Marcelo V. Negrão, Xiuning Le, Carl M. Gay, Anne S. Tsao, Lauren A. Byers, Mehmet Altan, Bonnie S. Glisson, Frank V. Fossella, Yasir Y. Elamin, George Blumenschein, Jianjun Zhang, Ferdinandos Skoulidis, Jia Wu, Reza J. Mehran, David C. Rice, Garrett L. Walsh, Wayne L. Hofstetter, Ravi Rajaram, Mara B. Antonoff, Junya Fujimoto, Luisa M. Solis, Edwin R. Parra, Cara Haymaker, Ignacio I. Wistuba, Stephen G. Swisher, Ara A. Vaporciyan, Heather Lin, Jing Wang, Don L. Gibbons, J. Jack Lee, Nadim J. Ajami, Jennifer A. Wargo, James P. Allison, Padmanee Sharma, Humam Kadara, John V. Heymach, Boris Sepesi - Nature Medicine 2023 cited by 206

  13. Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies

    Authors: Jia Wu, Chunbo Luo, Yang Luo, Ke Li - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 130

  14. FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance

    Authors: Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng - IEEE International Conference on Data Mining (ICDM) 2021 cited by 110

  15. A Correlation-Based Feature Weighting Filter for Naive Bayes

    Authors: Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2018 cited by 267

  16. ComGA: Community-Aware Attributed Graph Anomaly Detection

    Authors: Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue - Fifteenth ACM International Conference on Web Search and Data Mining, WSDM 2022 cited by 104

  17. Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation

    Authors: Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2020 cited by 138

  18. Training deep neural networks on imbalanced data sets

    Authors: Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy - International Joint Conference on Neural Networks (IJCNN) 2016 cited by 462

  19. RGDAN: A random graph diffusion attention network for traffic prediction

    Authors: Jin Fan, Wenchao Weng, Hao Tian, Huifeng Wu, Fu Zhu, Jia Wu - Neural Networks 2024 cited by 83

  20. Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review

    Authors: Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, Arshad Khan, Aditya Shekhar Nittala, Shawkat Ali, Abbas Shah, Taimoor Muzaffar Gondal, Ferhat Sadak, Zubair Shah, Muhammad Usman Hadi, Sheheryar Khan, Qasem Al-Tashi, Jia Wu, Amine Bermak, Tanvir Alam - IEEE Access 2023 cited by 160

  21. LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection

    Authors: Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Wu - IEEE Transactions on Big Data, IEEE Trans. Big Data 2023 cited by 66

  22. Deep Learning for Community Detection: Progress, Challenges and Opportunities

    Authors: Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu - Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 cited by 191

  23. A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions

    Authors: Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester - ACM Computing Surveys, ACM Comput. Surv. 2024 cited by 83

  24. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy

    Authors: Jia Wu, Guohong Cao, Xiaoli Sun, Juheon Lee, Daniel L. Rubin, Sandy Napel, Allison W. Kurian, Bruce L. Daniel, Ruijiang Li - Radiology 2018 cited by 209