Ke Yan
- Building and Construction top 0.5%
- Building Energy and Comfort Optimization 22
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications 18
- Solar Radiation and Photovoltaics 17
- Evolutionary Algorithms and Applications 10
- Environmental Engineering top 2%
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- Fault Detection and Control Systems 12
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- Energy Load and Power Forecasting 26
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- Advanced Chemical Sensor Technologies 11
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- Industrial Vision Systems and Defect Detection 9
In The Last Decade
Ke Yan
174 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Building and Construction 1.0k
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 800
- Environmental Engineering 550
- Control and Systems Engineering 890
Countries citing papers authored by Ke Yan
This map shows the geographic impact of Ke Yan'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 Ke Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yan more than expected).
Fields of papers citing papers by Ke Yan
This network shows the impact of papers produced by Ke Yan. 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 Ke Yan. The network helps show where Ke Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ke Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 27 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 26 | |
| 11 | 2022 | 59 | |
| 12 | 2022 | 23 | |
| 13 | 2022 | 65 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 19 | |
| 16 | 2022 | 2 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 90 | |
| 19 | 2019 | 2 | |
| 20 | 2018 | 131 |
About Ke Yan
Ke Yan is a scholar working on Artificial Intelligence, Building and Construction, Computer Vision and Pattern Recognition, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 189 papers that have together received 6.1k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (26 papers), Building Energy and Comfort Optimization (22 papers), Anomaly Detection Techniques and Applications (18 papers), Solar Radiation and Photovoltaics (17 papers), Fault Detection and Control Systems (12 papers), Advanced Chemical Sensor Technologies (11 papers), Evolutionary Algorithms and Applications (10 papers) and Industrial Vision Systems and Defect Detection (9 papers). The work is most often cited by research in Building and Construction (1.0k citations), Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (800 citations), Environmental Engineering (550 citations) and Control and Systems Engineering (890 citations). Ke Yan has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include David Zhang, Zhiwei Ji, Yang Du, Yuchang Mo, Jing Huang, Xiaokang Zhou, Huijuan Lu, Ning Jin, Hangxia Zhou and Wen Shen. Their work appears in journals such as Building and Environment, Energy and Buildings, IEEE Access, Multimedia Tools and Applications and Energies.
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.