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Jia Wu

2001–2026 年に発表

別表記
Jia WU
995
論文数
33,941
被引用数
89
h 指数
584
i10 指数

被引用数

Jia Wu の年別被引用数1977 年: 被引用 1 件1979 年: 被引用 1 件1990 年: 被引用 1 件1997 年: 被引用 1 件2000 年: 被引用 1 件2004 年: 被引用 1 件2005 年: 被引用 4 件2007 年: 被引用 3 件2008 年: 被引用 3 件2009 年: 被引用 7 件2010 年: 被引用 29 件2011 年: 被引用 26 件2012 年: 被引用 55 件2013 年: 被引用 56 件2014 年: 被引用 109 件2015 年: 被引用 143 件2016 年: 被引用 190 件2017 年: 被引用 409 件2018 年: 被引用 676 件2019 年: 被引用 1,059 件2020 年: 被引用 1,533 件2021 年: 被引用 2,173 件2022 年: 被引用 2,520 件2023 年: 被引用 2,641 件2024 年: 被引用 3,712 件2025 年: 被引用 3,110 件2026 年: 被引用 799 件2027 年: 被引用 3 件1978 年は被引用が無いため表示していません1980〜1989 年は被引用が無いため表示していません1991〜1996 年は被引用が無いため表示していません1998〜1999 年は被引用が無いため表示していません2001〜2003 年は被引用が無いため表示していません2006 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 7,901 件、この内訳の 38.1%アメリカ合衆国: 引用元論文 2,649 件、この内訳の 12.8%オーストラリア: 引用元論文 1,044 件、この内訳の 5%インド: 引用元論文 794 件、この内訳の 3.8%イギリス: 引用元論文 717 件、この内訳の 3.5%カナダ: 引用元論文 479 件、この内訳の 2.3%ドイツ: 引用元論文 469 件、この内訳の 2.3%韓国: 引用元論文 450 件、この内訳の 2.2%香港: 引用元論文 415 件、この内訳の 2%イタリア: 引用元論文 396 件、この内訳の 1.9%フランス: 引用元論文 349 件、この内訳の 1.7%サウジアラビア: 引用元論文 276 件、この内訳の 1.3%
0%38.1%その他 23.1%

機関

分野

  • Computer Science46.1%
  • Medicine17.1%
  • Engineering11.3%
  • Biochemistry, Genetics and Molecular Biology7.9%
  • Physics and Astronomy4%
  • Neuroscience2.4%
  • その他11.2%

トピック

  • 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%
  • その他84%

共著者

全論文

検索で開く
  1. Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

    著者: Jia Wu, Xiu Yun Chen, Hao Zhang, Li Dong Xiong, Hang Lei, Sihao Deng - 2019 被引用: 1,414

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

    著者: 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 被引用: 373

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

    著者: 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 被引用: 352

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

    著者: Wenchao Weng, Jin Fan, Huifeng Wu, Yujie Hu, Hao Tian, Fu Zhu, Jia Wu - Pattern Recognition, Pattern Recognit. 2023 被引用: 233

  5. A Comprehensive Survey on Community Detection With Deep Learning

    著者: 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 被引用: 333

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

    著者: Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang - Information Fusion, Inf. Fusion 2019 被引用: 444

  7. Graph Structure Learning with Variational Information Bottleneck

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

  8. Antibody targeting of E3 ubiquitin ligases for receptor degradation

    著者: 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 被引用: 255

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

    著者: Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu - Web Conference 2022, WWW 2022 被引用: 136

  10. AI in drug discovery and its clinical relevance

    著者: 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 被引用: 272

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

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

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

    著者: 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 被引用: 206

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

    著者: Jia Wu, Chunbo Luo, Yang Luo, Ke Li - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 被引用: 130

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

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

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

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

  16. ComGA: Community-Aware Attributed Graph Anomaly Detection

    著者: 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 被引用: 104

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

    著者: Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2020 被引用: 138

  18. Training deep neural networks on imbalanced data sets

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

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

    著者: Jin Fan, Wenchao Weng, Hao Tian, Huifeng Wu, Fu Zhu, Jia Wu - Neural Networks 2024 被引用: 83

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

    著者: 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 被引用: 160

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

    著者: Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Wu - IEEE Transactions on Big Data, IEEE Trans. Big Data 2023 被引用: 66

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

    著者: 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 被引用: 191

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

    著者: 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 被引用: 83

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

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