Jianzhou Wang

1991–2026 年に発表

別表記
JianZhou Wang
265
論文数
19,640
被引用数
76
h 指数
204
i10 指数

被引用数

Jianzhou Wang の年別被引用数1967 年: 被引用 7 件1969 年: 被引用 1 件1992 年: 被引用 8 件1993 年: 被引用 13 件1994 年: 被引用 13 件1995 年: 被引用 7 件1996 年: 被引用 11 件1997 年: 被引用 9 件1998 年: 被引用 9 件1999 年: 被引用 18 件2000 年: 被引用 23 件2001 年: 被引用 19 件2002 年: 被引用 15 件2003 年: 被引用 20 件2004 年: 被引用 13 件2005 年: 被引用 19 件2006 年: 被引用 18 件2007 年: 被引用 19 件2008 年: 被引用 25 件2009 年: 被引用 29 件2010 年: 被引用 20 件2011 年: 被引用 33 件2012 年: 被引用 55 件2013 年: 被引用 57 件2014 年: 被引用 104 件2015 年: 被引用 174 件2016 年: 被引用 196 件2017 年: 被引用 281 件2018 年: 被引用 392 件2019 年: 被引用 651 件2020 年: 被引用 754 件2021 年: 被引用 700 件2022 年: 被引用 861 件2023 年: 被引用 831 件2024 年: 被引用 879 件2025 年: 被引用 1,862 件2026 年: 被引用 1,067 件1968 年は被引用が無いため表示していません1970〜1991 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 2,501 件、この内訳の 36.4%アメリカ合衆国: 引用元論文 648 件、この内訳の 9.4%インド: 引用元論文 342 件、この内訳の 5%イギリス: 引用元論文 240 件、この内訳の 3.5%オーストラリア: 引用元論文 214 件、この内訳の 3.1%イラン: 引用元論文 159 件、この内訳の 2.3%カナダ: 引用元論文 149 件、この内訳の 2.2%スペイン: 引用元論文 130 件、この内訳の 1.9%台湾: 引用元論文 124 件、この内訳の 1.8%トルコ: 引用元論文 123 件、この内訳の 1.8%韓国: 引用元論文 121 件、この内訳の 1.8%マカオ: 引用元論文 119 件、この内訳の 1.7%
0%36.4%その他 29.1%

分野

  • Computer Science38.7%
  • Engineering32.7%
  • Decision Sciences6.9%
  • Environmental Science4.7%
  • Biochemistry, Genetics and Molecular Biology4.2%
  • Medicine4%
  • その他8.8%

トピック

  • Energy Load and Power Forecasting11.8%
  • Solar Radiation and Photovoltaics5.3%
  • Multimodal Machine Learning Applications4.1%
  • Topic Modeling3.9%
  • Stock Market Forecasting Methods2.9%
  • Grey System Theory Applications2.6%
  • その他69.4%

共著者

全論文

検索で開く
  1. Kimi k1.5: Scaling Reinforcement Learning with LLMs

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Hongcheng Gao, Huabin Zheng, Huan Yuan, Jia Chen, Jianhang Guo, Jianlin Su, Jianzhou Wang, J. Zhao, Jin Zhang, Liu, Jingyuan, Junjie Yan, Junyan Wu, Lidong Shi, Ling Ye, Longhui Yu, Dong, Mengnan, Zhang, Neo, Ningchen Ma, Qiwei Pan, Qucheng Gong, Shaowei Liu, Shengling Ma, Shupeng Wei, Cao, Sihan, Siying Huang, Tao Jiang, Weihao Gao, Xiong, Weimin, W. He, Weixiao Huang, Xu, Weixin, Wenhao Wu, Wenyang He, Wei, Xianghui, Xianqing Jia, Xingzhe Wu, Xinran Xu, Xinxing Zu, X. H. Zhou, Xuehai Pan, Y F Young Charles, Yang Li, Yangyang Hu, Yangyang Liu, Yanru Chen, Yejie Wang, Y. Liu, Qin, Yidao, Yifeng Liu, Yingguo Yang, Yiping Bao, Yulun Du, Yuxin Wu, Yuzhi Wang, Zaida Zhou, Z B Wang, Zhaowei Li, Zhen Zhu, Zheng Zhang, Wang, Zhexu, Zhilin Yang, Zhiqi Huang, Huang, Zihao, Zhao Xu, Zonghan Yang, Lin, Zongyu - ArXiv.org, CoRR 2025 被引用: 1,159

  2. Kimi-VL Technical Report

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Huabin Zheng, Jiaming Li, Jianlin Su, Jianzhou Wang, Jiaqi Deng, Jiezhong Qiu, Jin Xie, Jinhong Wang, Liu, Jingyuan, Junjie Yan, Kun Ouyang, Liang Chen, Sui Lin, Longhui Yu, Mengfan Dong, Dong, Mengnan, Nuo Xu, Pengyu Cheng, Qing Gu, Runjie Zhou, Shaowei Liu, Cao, Sihan, Tao Yu, Tianhui Song, Tongtong Bai, Wei Song, W. He, Weixiao Huang, Weixin Xu, Xiaokun Yuan, Xingcheng Yao, Xingzhe Wu, Xinhao Li, Xinxing Zu, Xinyu Zhou, Xinyuan Wang, Yann Philippe Charles, Yan Zhong, Li Yang, Yangyang Hu, Yanru Chen, Yejie Wang, Liu, Yibo, Yibo Miao, Qin, Yidao, Yimin Chen, Yiping Bao, Yiqin Wang, Yongsheng Kang, Yuanxin Liu, Yuhao Dong, Yulun Du, Yucheng Wu, Yuzhi Wang, Yan, Yuzi, Zaida Zhou, Zhaowei Li, Zhejun Jiang, Zheng Zhang, Zhilin Yang, Zhiqi Huang, Huang, Zihao, Zijia Zhao, Ziwei Chen, Lin, Zongyu - ArXiv.org, CoRR 2025 被引用: 406

  3. Muon is Scalable for LLM Training

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 被引用: 301

  4. Kimi-Audio Technical Report

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yuefeng Wu, Yuxin Wu, Dongchao Yang, Hao Yang, Ying Yang, Zhilin Yang, Aoxiong Yin, Ruibin Yuan, Yutong Zhang, Zaida Zhou - ArXiv.org, CoRR 2025 被引用: 251

  5. A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction

    著者: , , , , - Energy Conversion and Management 2023 被引用: 86

  6. A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies

    著者: , , , , - Expert Systems with Applications, Expert Syst. Appl. 2023 被引用: 86

  7. Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization

    著者: , , , - Energy Conversion and Management 2022 被引用: 85

  8. An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting

    著者: , , , - Engineering Applications of Artificial Intelligence, Eng. Appl. Artif. Intell. 2023 被引用: 55

  9. Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm

    著者: , , , - Expert Systems with Applications, Expert Syst. Appl. 2022 被引用: 89

  10. Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm

    著者: , , - Applied Energy 2022 被引用: 99

  11. Air Pollution Forecasts: An Overview

    著者: , , , - International Journal of Environmental Research and Public Health 2018 被引用: 406

  12. De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure

    著者: , , , , - Applied Energy 2023 被引用: 45

  13. A novel hybrid model for short-term wind power forecasting

    著者: , , , - Applied Soft Computing, Appl. Soft Comput. 2019 被引用: 270

  14. Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm

    著者: , , , - Expert Systems with Applications, Expert Syst. Appl. 2021 被引用: 159

  15. Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

    著者: , , , , , - Knowledge-Based Systems, Knowl. Based Syst. 2013 被引用: 531

  16. A novel hybrid system based on multi-objective optimization for wind speed forecasting

    著者: , , , , - Renewable Energy 2019 被引用: 202

  17. Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting

    著者: , , , , - Expert Systems with Applications, Expert Syst. Appl. 2020 被引用: 144

  18. Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis

    著者: , , , - Energy 2023 被引用: 49

  19. A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches

    著者: , , , - Energy 2021 被引用: 115

  20. Carbon price forecasting system based on error correction and divide-conquer strategies

    著者: , , - Applied Soft Computing, Appl. Soft Comput. 2021 被引用: 109

  21. Short-term PV power forecasting based on time series expansion and high-order fuzzy cognitive maps

    著者: , , , , - Applied Soft Computing, Appl. Soft Comput. 2023 被引用: 42

  22. A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

    著者: , , - Applied Energy 2018 被引用: 256

  23. Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction

    著者: , , , , , - Technological Forecasting and Social Change 2023 被引用: 68

  24. Combined forecasting tool for renewable energy management in sustainable supply chains

    著者: , , , - Computers & Industrial Engineering, Comput. Ind. Eng. 2023 被引用: 42