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Weiming Shen

1988–2027 年に発表

550
論文数
20,047
被引用数
71
h 指数
266
i10 指数

被引用数

Weiming Shen の年別被引用数1905 年: 被引用 1 件1975 年: 被引用 1 件1993 年: 被引用 2 件1995 年: 被引用 5 件1996 年: 被引用 2 件1997 年: 被引用 6 件1998 年: 被引用 4 件1999 年: 被引用 14 件2000 年: 被引用 36 件2001 年: 被引用 53 件2002 年: 被引用 73 件2003 年: 被引用 117 件2004 年: 被引用 121 件2005 年: 被引用 154 件2006 年: 被引用 246 件2007 年: 被引用 153 件2008 年: 被引用 250 件2009 年: 被引用 249 件2010 年: 被引用 231 件2011 年: 被引用 271 件2012 年: 被引用 248 件2013 年: 被引用 256 件2014 年: 被引用 295 件2015 年: 被引用 324 件2016 年: 被引用 327 件2017 年: 被引用 382 件2018 年: 被引用 486 件2019 年: 被引用 498 件2020 年: 被引用 476 件2021 年: 被引用 602 件2022 年: 被引用 675 件2023 年: 被引用 770 件2024 年: 被引用 1,248 件2025 年: 被引用 1,497 件2026 年: 被引用 463 件2027 年: 被引用 7 件1906〜1974 年は被引用が無いため表示していません1976〜1992 年は被引用が無いため表示していません1994 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 3,995 件、この内訳の 33.4%アメリカ合衆国: 引用元論文 1,050 件、この内訳の 8.8%イギリス: 引用元論文 602 件、この内訳の 5%カナダ: 引用元論文 544 件、この内訳の 4.5%インド: 引用元論文 447 件、この内訳の 3.7%ドイツ: 引用元論文 361 件、この内訳の 3%イタリア: 引用元論文 353 件、この内訳の 3%フランス: 引用元論文 340 件、この内訳の 2.8%韓国: 引用元論文 257 件、この内訳の 2.2%オーストラリア: 引用元論文 245 件、この内訳の 2.1%香港: 引用元論文 243 件、この内訳の 2%スペイン: 引用元論文 202 件、この内訳の 1.7%
0%33.4%その他 27.8%

機関

分野

  • Engineering48.3%
  • Computer Science37.1%
  • Business, Management and Accounting5.4%
  • Decision Sciences2%
  • Medicine1.1%
  • Social Sciences1%
  • その他5.1%

トピック

  • Scheduling and Optimization Algorithms3.9%
  • Digital Transformation in Industry3%
  • Manufacturing Process and Optimization2.8%
  • Machine Fault Diagnosis Techniques2.6%
  • Anomaly Detection Techniques and Applications2.5%
  • Advanced Manufacturing and Logistics Optimization2.4%
  • その他82.8%

共著者

全論文

検索で開く
  1. Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study

    著者: Chao Zhao, Enrico Zio, Weiming Shen - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2024 被引用: 411

  2. Digital twins-based smart manufacturing system design in Industry 4.0: A review

    著者: Jiewu Leng, Dewen Wang, Weiming Shen, Xinyu Li, Qiang Liu, Xin Chen - Journal of Manufacturing Systems 2021 被引用: 722

  3. Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm

    著者: Jiewu Leng, Yuanwei Zhong, Zisheng Lin, Kailin Xu, Dimitris Mourtzis, Xueliang Zhou, Pai Zheng, Qiang Liu, J. Leon Zhao, Weiming Shen - Journal of Manufacturing Systems 2023 被引用: 242

  4. Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

    著者: Yunkang Cao, Xiaohao Xu, Zhaoge Liu, Weiming Shen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2023 被引用: 117

  5. Informative knowledge distillation for image anomaly segmentation

    著者: Yunkang Cao, Qian Wan, Weiming Shen, Liang Gao - Knowledge-Based Systems, Knowl. Based Syst. 2022 被引用: 119

  6. Segment Any Anomaly without Training via Hybrid Prompt Regularization

    著者: Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Zongwei Du, Liang Gao, Weiming Shen - arXiv (Cornell University), CoRR 2023 被引用: 85

  7. Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis

    著者: Chao Zhao, Weiming Shen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2022 被引用: 145

  8. Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels

    著者: Youshan Liu, Jiaxin Fan, Linlin Zhao, Weiming Shen, Chunjiang Zhang - Robotics and Computer-Integrated Manufacturing, Robotics Comput. Integr. Manuf. 2023 被引用: 99

  9. AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection

    著者: Yunkang Cao, Jiangning Zhang, Luca Frittoli, Yuqi Cheng, Weiming Shen, Giacomo Boracchi - Lecture notes in computer science, ECCV (35) 2024 被引用: 80

  10. A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems

    著者: Fan Li, Xiwen Cai, Liang Gao, Weiming Shen - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 被引用: 165

  11. Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis

    著者: Chao Zhao, Weiming Shen - Advanced Engineering Informatics, Adv. Eng. Informatics 2023 被引用: 100

  12. Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network

    著者: Han Wang, Jingwei Wang, Yukai Zhao, Qing Liu, Min Liu, Weiming Shen - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2022 被引用: 119

  13. A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

    著者: Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen - arXiv (Cornell University), CoRR 2024 被引用: 60

  14. A DRL-Based Reactive Scheduling Policy for Flexible Job Shops With Random Job Arrivals

    著者: Linlin Zhao, Jiaxin Fan, Chunjiang Zhang, Weiming Shen, Jing Zhuang - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2023 被引用: 92

  15. Dual adversarial network for cross-domain open set fault diagnosis

    著者: Chao Zhao, Weiming Shen - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2022 被引用: 139

  16. Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

    著者: Gaowei Xu, Min Liu, Zhuofu Jiang, Weiming Shen, Chenxi Huang - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2019 被引用: 351

  17. Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead

    著者: Yunkang Cao, Xiaohao Xu, Chen Sun, Xiaonan Huang, Weiming Shen - arXiv (Cornell University), CoRR 2023 被引用: 47

  18. Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions

    著者: Chao Zhao, Weiming Shen - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2022 被引用: 86

  19. Rocaglamide promotes the infiltration and antitumor immunity of NK cells by activating cGAS-STING signaling in non-small cell lung cancer

    著者: Xuewei Yan, Chao Yao, Fang Cheng, Min Ae Han, Chenyuan Gong, Dan Hu, Weiming Shen, Lixin Wang, Suyun Li, Shiguo Zhu - International Journal of Biological Sciences 2021 被引用: 86

  20. A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations

    著者: Jiaxin Fan, Chunjiang Zhang, Weiming Shen, Liang Gao - International Journal of Production Research, Int. J. Prod. Res. 2022 被引用: 77

  21. A Hybrid Evolutionary Algorithm Using Two Solution Representations for Hybrid Flow-Shop Scheduling Problem

    著者: Jiaxin Fan, Yingli Li, Jin Xie, Chunjiang Zhang, Weiming Shen, Liang Gao - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 被引用: 74

  22. Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

    著者: Gaowei Xu, Min Liu, Zhuofu Jiang, Dirk Söffker, Weiming Shen - Sensors 2019 被引用: 308

  23. Agent-based simulation and optimization of hybrid flow shop considering multi-skilled workers and fatigue factors

    著者: Youshan Liu, Weiming Shen, Chunjiang Zhang, Xueyan Sun - Robotics and Computer-Integrated Manufacturing, Robotics Comput. Integr. Manuf. 2022 被引用: 75

  24. Federated learning-empowered smart manufacturing and product lifecycle management: A review

    著者: Jiewu Leng, Rongjie Li, Junxing Xie, Xueliang Zhou, Xiang Li, Qiang Liu, Xin Chen, Weiming Shen, Lihui Wang - Advanced Engineering Informatics, Adv. Eng. Informatics 2025 被引用: 61