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Weiping Ding

1997–2027 年に発表

837
論文数
23,226
被引用数
71
h 指数
416
i10 指数

被引用数

Weiping Ding の年別被引用数1999 年: 被引用 1 件2000 年: 被引用 4 件2001 年: 被引用 3 件2002 年: 被引用 3 件2003 年: 被引用 2 件2004 年: 被引用 1 件2005 年: 被引用 4 件2006 年: 被引用 4 件2007 年: 被引用 2 件2008 年: 被引用 2 件2009 年: 被引用 3 件2011 年: 被引用 1 件2012 年: 被引用 1 件2013 年: 被引用 1 件2014 年: 被引用 5 件2015 年: 被引用 4 件2016 年: 被引用 8 件2017 年: 被引用 20 件2018 年: 被引用 59 件2019 年: 被引用 231 件2020 年: 被引用 452 件2021 年: 被引用 865 件2022 年: 被引用 1,502 件2023 年: 被引用 2,105 件2024 年: 被引用 3,284 件2025 年: 被引用 3,423 件2026 年: 被引用 1,355 件2027 年: 被引用 11 件2010 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 6,100 件、この内訳の 41.7%インド: 引用元論文 972 件、この内訳の 6.6%アメリカ合衆国: 引用元論文 729 件、この内訳の 5%イギリス: 引用元論文 535 件、この内訳の 3.7%オーストラリア: 引用元論文 435 件、この内訳の 3%カナダ: 引用元論文 378 件、この内訳の 2.6%サウジアラビア: 引用元論文 325 件、この内訳の 2.2%韓国: 引用元論文 320 件、この内訳の 2.2%トルコ: 引用元論文 269 件、この内訳の 1.8%スペイン: 引用元論文 253 件、この内訳の 1.7%イラン: 引用元論文 241 件、この内訳の 1.7%パキスタン: 引用元論文 239 件、この内訳の 1.6%
0%41.7%その他 26.2%

機関

分野

  • Computer Science58.1%
  • Engineering11.5%
  • Decision Sciences6.6%
  • Medicine6.3%
  • Neuroscience4.3%
  • Biochemistry, Genetics and Molecular Biology2.1%
  • その他11.1%

トピック

  • Rough Sets and Fuzzy Logic5.1%
  • Multi-Criteria Decision Making3.3%
  • Face and Expression Recognition2.2%
  • Data Mining Algorithms and Applications2.2%
  • Text and Document Classification Technologies2.1%
  • Anomaly Detection Techniques and Applications1.8%
  • その他83.3%

共著者

全論文

検索で開く
  1. A review of clustering techniques and developments

    著者: Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin - Neurocomputing 2017 被引用: 1,344

  2. Deep learning based multimodal biomedical data fusion: An overview and comparative review

    著者: Junwei Duan, Jiaqi Xiong, Yinghui Li, Weiping Ding - Information Fusion, Inf. Fusion 2024 被引用: 230

  3. Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets

    著者: Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2020 被引用: 263

  4. Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

    著者: Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali - Information Sciences, Inf. Sci. 2022 被引用: 169

  5. Three-Way Behavioral Decision Making With Hesitant Fuzzy Information Systems: Survey and Challenges

    著者: Jianming Zhan, Jiajia Wang, Weiping Ding, Yiyu Yao - IEEE/CAA Journal of Automatica Sinica, IEEE CAA J. Autom. Sinica 2022 被引用: 180

  6. FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation

    著者: Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz - Information Fusion, Inf. Fusion 2023 被引用: 104

  7. M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion

    著者: Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding - Information Fusion, Inf. Fusion 2023 被引用: 88

  8. Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery

    著者: Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2023 被引用: 86

  9. A Novel Three-Way Decision Model Based on Utility Theory in Incomplete Fuzzy Decision Systems

    著者: Jianming Zhan, Jin Ye, Weiping Ding, Peide Liu - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2021 被引用: 192

  10. Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy

    著者: Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2021 被引用: 170

  11. Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification

    著者: Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin - Information Sciences, Inf. Sci. 2021 被引用: 214

  12. Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion

    著者: Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Fan - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2021 被引用: 114

  13. Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction

    著者: Yinxin Bao, Jiashuang Huang, Qin-Qin Shen, Yang Cao, Weiping Ding, Zhenquan Shi, Quan Shi, Quan Shi - Engineering Applications of Artificial Intelligence, Eng. Appl. Artif. Intell. 2023 被引用: 128

  14. Concept-cognitive learning survey: Mining and fusing knowledge from data

    著者: Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian - Information Fusion, Inf. Fusion 2024 被引用: 72

  15. Two-Way Concept-Cognitive Learning Method: A Fuzzy-Based Progressive Learning

    著者: Weihua Xu, Doudou Guo, Yuhua Qian, Weiping Ding - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2022 被引用: 115

  16. Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint

    著者: Weihua Xu, Doudou Guo, Jusheng Mi, Yuhua Qian, Keyin Zheng, Weiping Ding - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2023 被引用: 91

  17. An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution

    著者: Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding - IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Trans. Emerg. Top. Comput. Intell. 2022 被引用: 118

  18. TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data

    著者: Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu - Information Fusion, Inf. Fusion 2023 被引用: 89

  19. Multi-modal fusion network with complementarity and importance for emotion recognition

    著者: Shuai Liu, Peng Gao, Yating Li, Weina Fu, Weiping Ding - Information Sciences, Inf. Sci. 2022 被引用: 149

  20. Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis

    著者: Diego García-Zamora, Álvaro Labella, Weiping Ding, Rosa M. Rodríguez, Luis Martínez - IEEE/CAA Journal of Automatica Sinica, IEEE CAA J. Autom. Sinica 2022 被引用: 138

  21. A survey on multi-label feature selection from perspectives of label fusion

    著者: Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding - Information Fusion, Inf. Fusion 2023 被引用: 73

  22. Attribute reduction with fuzzy rough self-information measures

    著者: Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao - Information Sciences, Inf. Sci. 2020 被引用: 170

  23. A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection

    著者: Mohamed Abdel-Basset, Weiping Ding, Doaa El-Shahat - Artificial Intelligence Review, Artif. Intell. Rev. 2020 被引用: 222

  24. Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery

    著者: Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, Hongyun Zhang - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2024 被引用: 56