Kai Qu
Impact in
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics
- Advanced Clustering Algorithms Research
Papers in
-
- Energy Load and Power Forecasting 6
- Advanced Memory and Neural Computing 2
-
- Adaptive Control of Nonlinear Systems 2
- Co-authors
- Gangquan Si (10 shared papers)Zhou Zhou (3 shared papers)Xianguo Tuo (2 shared papers)Huailiang Li (2 shared papers)Junkai Tan (3 shared papers)Xin Chen (1 shared paper)Feng Xu (2 shared papers)Xiao‐Yuan Liu (1 shared paper)
- Journals
- Energy Reports (2 papers)Nonlinear Dynamics (2 papers)Abdominal Radiology (1 paper)Hepatogastroenterology (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Kai Qu
33 papers receiving 403 citations
Kai Qu's Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 97
- Energy Engineering and Power Technology 8
- Control and Systems Engineering 51
- Electrical and Electronic Engineering 124
- Management Science and Operations Research 25
Countries citing papers authored by Kai Qu
This map shows the geographic impact of Kai Qu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Qu more than expected).
Fields of papers citing papers by Kai Qu
This network shows the impact of papers produced by Kai Qu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Qu. The network helps show where Kai Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2022 | 55 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 34 | |
| 5 | Finite-time safe reinforcement learning control of multi-player nonzero-sum game for quadcopter systems Hit paper breakdown → | 2025 | 24 |
| 6 | 2012 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2025 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2011 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 5 |
About Kai Qu
Kai Qu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 36 papers that have together received 405 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (6 papers), Computational Physics and Python Applications (2 papers), Adaptive Control of Nonlinear Systems (2 papers), Advanced Memory and Neural Computing (2 papers), Adaptive Dynamic Programming Control (2 papers), UAV Applications and Optimization (2 papers), Seismic Waves and Analysis (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Artificial Intelligence (97 citations), Energy Engineering and Power Technology (8 citations), Control and Systems Engineering (51 citations), Electrical and Electronic Engineering (124 citations) and Management Science and Operations Research (25 citations). Kai Qu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Gangquan Si, Zhou Zhou, Xianguo Tuo, Huailiang Li, Junkai Tan, Xin Chen, Feng Xu, Xiao‐Yuan Liu, Zhimin Xu and Xiao-Yong Yu. Their work appears in journals such as Energy Reports, Nonlinear Dynamics, Abdominal Radiology, Hepatogastroenterology and Neurocomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.