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Long Cheng

2000–2026 年に発表

別表記
Long, Cheng
900
論文数
29,903
被引用数
87
h 指数
488
i10 指数

被引用数

Long Cheng の年別被引用数1897 年: 被引用 3 件1969 年: 被引用 1 件1982 年: 被引用 1 件1999 年: 被引用 1 件2000 年: 被引用 1 件2002 年: 被引用 1 件2003 年: 被引用 1 件2004 年: 被引用 1 件2005 年: 被引用 8 件2006 年: 被引用 8 件2007 年: 被引用 9 件2008 年: 被引用 30 件2009 年: 被引用 59 件2010 年: 被引用 73 件2011 年: 被引用 115 件2012 年: 被引用 146 件2013 年: 被引用 226 件2014 年: 被引用 345 件2015 年: 被引用 505 件2016 年: 被引用 539 件2017 年: 被引用 641 件2018 年: 被引用 714 件2019 年: 被引用 969 件2020 年: 被引用 1,152 件2021 年: 被引用 1,530 件2022 年: 被引用 1,532 件2023 年: 被引用 1,724 件2024 年: 被引用 2,204 件2025 年: 被引用 1,852 件2026 年: 被引用 376 件2027 年: 被引用 2 件1898〜1968 年は被引用が無いため表示していません1970〜1981 年は被引用が無いため表示していません1983〜1998 年は被引用が無いため表示していません2001 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 7,091 件、この内訳の 40.4%アメリカ合衆国: 引用元論文 1,957 件、この内訳の 11.1%イギリス: 引用元論文 710 件、この内訳の 4%インド: 引用元論文 698 件、この内訳の 4%カナダ: 引用元論文 473 件、この内訳の 2.7%オーストラリア: 引用元論文 401 件、この内訳の 2.3%ドイツ: 引用元論文 401 件、この内訳の 2.3%香港: 引用元論文 393 件、この内訳の 2.2%韓国: 引用元論文 361 件、この内訳の 2.1%イタリア: 引用元論文 319 件、この内訳の 1.8%イラン: 引用元論文 299 件、この内訳の 1.7%日本: 引用元論文 295 件、この内訳の 1.7%
0%40.4%その他 23.7%

機関

分野

  • Computer Science40.3%
  • Engineering31.5%
  • Medicine9.8%
  • Biochemistry, Genetics and Molecular Biology8.4%
  • Social Sciences1.8%
  • Neuroscience1.3%
  • その他6.9%

トピック

  • Distributed Control Multi-Agent Systems4.4%
  • Adaptive Control of Nonlinear Systems3.5%
  • Neural Networks Stability and Synchronization3%
  • Indoor and Outdoor Localization Technologies2%
  • Energy Efficient Wireless Sensor Networks1.8%
  • IoT and Edge/Fog Computing1.7%
  • その他83.6%

共著者

全論文

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  1. Tau PTM Profiles Identify Patient Heterogeneity and Stages of Alzheimer’s Disease

    著者: Hendrik Wesseling, Waltraud Mair, Mukesh Kumar, Christoph N. Schlaffner, Shaojun Tang, Pieter Beerepoot, Benoit Fatou, Amanda J. Guise, Long Cheng, Shuko Takeda, Jan Muntel, Melissa Rotunno, Simon Dujardin, Peter Davies, Kenneth S. Kosik, Bruce L. Miller, Sabina Berretta, John C. Hedreen, Lea T. Grinberg, William W. Seeley, Bradley T. Hyman, Hanno Steen, Judith A. Steen - Cell 2020 被引用: 728

  2. A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems

    著者: Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy - IEEE Systems Journal, IEEE Syst. J. 2020 被引用: 307

  3. Brown and beige adipose tissue: a novel therapeutic strategy for obesity and type 2 diabetes mellitus

    著者: Long Cheng, Jingkang Wang, Hongyu Dai, Yuhui Duan, Yongcheng An, Lu Shi, Yinglan Lv, Huimin Li, Chen Wang, Quantao Ma, Yaqi Li, Pengfei Li, Haifeng Du, Baosheng Zhao - Adipocyte 2021 被引用: 357

  4. Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion

    著者: Hongfeng Tao, Jier Qiu, Yiyang Chen, Vladimir Stojanovic, Long Cheng - Journal of the Franklin Institute, J. Frankl. Inst. 2022 被引用: 220

  5. Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation

    著者: Chenguang Yang, Dianye Huang, Wei He, Long Cheng - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 被引用: 282

  6. An Efficient Federated Learning System for Network Intrusion Detection

    著者: Jianbin Li, Xin Tong, Jinwei Liu, Long Cheng - IEEE Systems Journal, IEEE Syst. J. 2023 被引用: 105

  7. Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation

    著者: Xinbo Yu, Bin Li, Wei He, Yanghe Feng, Long Cheng, Carlos Silvestre - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 被引用: 173

  8. A Transformer-based network intrusion detection approach for cloud security

    著者: Zhenyue Long, Huiru Yan, Guiquan Shen, Xiaolu Zhang, Haoyang He, Long Cheng - Journal of Cloud Computing Advances Systems and Applications, J. Cloud Comput. 2024 被引用: 110

  9. Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics

    著者: Chenguang Yang, Yiming Jiang, Jing Na, Zhijun Li, Long Cheng, Chun-Yi Su - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2018 被引用: 326

  10. Coarse to fine-based image-point cloud fusion network for 3D object detection

    著者: Meilan Hao, Z.Y. Zhang, Lei Li, Kejian Dong, Long Cheng, Prayag Tiwari, Xin Ning - Information Fusion, Inf. Fusion 2024 被引用: 78

  11. Enterprise data breach: causes, challenges, prevention, and future directions

    著者: Long Cheng, Fang Liu, Danfeng (Daphne) Yao - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2017 被引用: 298

  12. Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning

    著者: Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao - Expert Systems with Applications, Expert Syst. Appl. 2023 被引用: 66

  13. Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks

    著者: Zeng-Guang Hou, Long Cheng, Min Tan - IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Trans. Syst. Man Cybern. Part B 2009 被引用: 663

  14. Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach

    著者: Jingchen Yan, Yifeng Huang, Aditya Gupta, Anubhav Gupta, Cong Liu, Jianbin Li, Long Cheng - Computers & Electrical Engineering, Comput. Electr. Eng. 2022 被引用: 91

  15. Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems

    著者: Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao - IEEE Transactions on Parallel and Distributed Systems, IEEE Trans. Parallel Distributed Syst. 2021 被引用: 94

  16. A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling

    著者: Long Cheng, Yue Wang, Feng Cheng, Cheng Liu, Zhiming Zhao, Ying Wang - IEEE Transactions on Sustainable Computing, IEEE Trans. Sustain. Comput. 2023 被引用: 46

  17. Applying a random forest method approach to model travel mode choice behavior

    著者: Long Cheng, Xuewu Chen, Jonas De Vos, Xinjun Lai, Frank Witlox - Travel Behaviour and Society 2018 被引用: 475

  18. Development and Motion Control of Biomimetic Underwater Robots: A Survey

    著者: Rui Wang, Shuo Wang, Yu Wang, Long Cheng, Min Tan - IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Trans. Syst. Man Cybern. Syst. 2020 被引用: 159

  19. A Transfer Learning Model for Gesture Recognition Based on the Deep Features Extracted by CNN

    著者: Yongxiang Zou, Long Cheng - IEEE Transactions on Artificial Intelligence, IEEE Trans. Artif. Intell. 2021 被引用: 82

  20. Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey

    著者: Long Cheng, Yan Gu, Qingzhi Liu, Lei Yang, Cheng Liu, Ying Wang - IEEE Transactions on Sustainable Computing, IEEE Trans. Sustain. Comput. 2024 被引用: 43

  21. An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design

    著者: Ding Wang, Junfei Qiao, Long Cheng - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 被引用: 132

  22. IoTSafe: Enforcing Safety and Security Policy with Real IoT Physical Interaction Discovery

    著者: Wenbo Ding, Hongxin Hu, Long Cheng - Proceedings 2021 Network and Distributed System Security Symposium, NDSS 2021 被引用: 64

  23. Cost-aware job scheduling for cloud instances using deep reinforcement learning

    著者: Feng Cheng, Yifeng Huang, Bhavana Tanpure, Pawan Sawalani, Long Cheng, Cong Liu - Cluster Computing, Clust. Comput. 2021 被引用: 97

  24. Augmented reality for industrial quality inspection: An experiment assessing task performance and human factors

    著者: Arne Seeliger, Long Cheng, Torbjørn H. Netland - Computers in Industry, Comput. Ind. 2023 被引用: 48