Gongming Wang

2009–2025 年に発表

113
論文数
27,506
被引用数
61
h 指数
90
i10 指数

被引用数

Gongming Wang の年別被引用数2009 年: 被引用 2 件2010 年: 被引用 11 件2011 年: 被引用 50 件2012 年: 被引用 122 件2013 年: 被引用 157 件2014 年: 被引用 256 件2015 年: 被引用 223 件2016 年: 被引用 248 件2017 年: 被引用 266 件2018 年: 被引用 230 件2019 年: 被引用 341 件2020 年: 被引用 327 件2021 年: 被引用 300 件2022 年: 被引用 249 件2023 年: 被引用 241 件2024 年: 被引用 240 件2025 年: 被引用 173 件2026 年: 被引用 29 件

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 1,758 件、この内訳の 44.9%アメリカ合衆国: 引用元論文 496 件、この内訳の 12.7%シンガポール: 引用元論文 140 件、この内訳の 3.6%オーストラリア: 引用元論文 135 件、この内訳の 3.4%インド: 引用元論文 123 件、この内訳の 3.1%イギリス: 引用元論文 106 件、この内訳の 2.7%韓国: 引用元論文 104 件、この内訳の 2.6%香港: 引用元論文 90 件、この内訳の 2.3%ドイツ: 引用元論文 85 件、この内訳の 2.2%サウジアラビア: 引用元論文 84 件、この内訳の 2.1%カナダ: 引用元論文 74 件、この内訳の 1.9%日本: 引用元論文 66 件、この内訳の 1.7%
0%44.9%その他 16.8%

分野

  • Energy27%
  • Engineering23.1%
  • Materials Science22%
  • Computer Science10.1%
  • Medicine4.1%
  • Biochemistry, Genetics and Molecular Biology3.8%
  • その他9.9%

トピック

  • Advanced Photocatalysis Techniques8.3%
  • Supercapacitor Materials and Fabrication6.3%
  • Advanced battery technologies research5.4%
  • Electrocatalysts for Energy Conversion4.5%
  • Advancements in Battery Materials4.2%
  • Copper-based nanomaterials and applications3.4%
  • その他67.9%

共著者

全論文

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  1. Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

    著者: , , , , , - Artificial Intelligence Review, Artif. Intell. Rev. 2021 被引用: 180

  2. Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System

    著者: , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 被引用: 136

  3. Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process

    著者: , , , , - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2022 被引用: 61

  4. An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling

    著者: , - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2021 被引用: 65

  5. Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction

    著者: , , , , , - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2024 被引用: 41

  6. Efficient Real-Time EV Charging Scheduling via Ordinal Optimization

    著者: , , , - IEEE Transactions on Smart Grid, IEEE Trans. Smart Grid 2021 被引用: 87

  7. Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process

    著者: , , , - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2023 被引用: 42

  8. Dexmedetomidine modulates neuroinflammation and improves outcome via alpha2-adrenergic receptor signaling after rat spinal cord injury

    著者: , , , , , , , , , , , , , - British Journal of Anaesthesia 2019 被引用: 92

  9. Tailoring the d‐Band Centers Enables Co4N Nanosheets To Be Highly Active for Hydrogen Evolution Catalysis

    著者: , , , , , , , , , , , - Angewandte Chemie International Edition 2018 被引用: 1,055

  10. TL-GDBN: Growing Deep Belief Network With Transfer Learning

    著者: , , , , - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2018 被引用: 134

  11. A sparse deep belief network with efficient fuzzy learning framework

    著者: , , , , - Neural Networks 2019 被引用: 71

  12. PM2.5 concentration modeling and prediction by using temperature-based deep belief network

    著者: , , , - Neural Networks 2020 被引用: 63

  13. An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines

    著者: , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2019 被引用: 71

  14. Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning

    著者: , , , , - Neurocomputing 2021 被引用: 49

  15. An effective integrated control with intelligent optimization for wastewater treatment process

    著者: , , - Journal of Industrial Information Integration, J. Ind. Inf. Integr. 2021 被引用: 45

  16. An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process

    著者: , , , - Expert Systems with Applications, Expert Syst. Appl. 2020 被引用: 31

  17. Stance Detection of Microblog Text Based on Two-Channel CNN-GRU Fusion Network

    著者: , , - IEEE Access 2019 被引用: 27

  18. White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia

    著者: , , , , - Clinical Interventions in Aging 2022 被引用: 25

  19. Progress in Developing Metal Oxide Nanomaterials for Photoelectrochemical Water Splitting

    著者: , , , , , - Advanced Energy Materials 2017 被引用: 643

  20. Tumor-derived apoptotic extracellular vesicle-mediated intercellular communication promotes metastasis and stemness of lung adenocarcinoma

    著者: , , , , , , , , , , , - Bioactive Materials 2024 被引用: 18

  21. Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network

    著者: , , , , , - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2024 被引用: 9

  22. Amorphization-induced surface electronic states modulation of cobaltous oxide nanosheets for lithium-sulfur batteries

    著者: , , , , , , , , , , , , , , , , , - Nature Communications 2021 被引用: 205

  23. Neuroprotection of Dexmedetomidine against Cerebral Ischemia-Reperfusion Injury in Rats: Involved in Inhibition of NF-κB and Inflammation Response

    著者: , , , , , - Biomolecules & Therapeutics 2016 被引用: 86

  24. A deep belief network with PLSR for nonlinear system modeling

    著者: , , , - Neural Networks 2017 被引用: 73