Yan‐Lin He
Impact in
- Control and Systems Engineering top 0.5%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Ocean Engineering top 2%
- Underwater Vehicles and Communication Systems
Papers in
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- Fault Detection and Control Systems 97
- Advanced Algorithms and Applications 22
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- Machine Learning and ELM 38
- Neural Networks and Applications 27
- Anomaly Detection Techniques and Applications 17
- Co-authors
- Qun-Xiong Zhu (119 shared papers)Yuan Xu (72 shared papers)Shuxiang Guo (25 shared papers)Liwei Shi (24 shared papers)Zhong-Sheng Chen (7 shared papers)Ning Zhang (23 shared papers)Zhiqiang Geng (14 shared papers)Yuan Xu (29 shared papers)
In The Last Decade
Yan‐Lin He
207 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 130
- Control and Systems Engineering 1.3k
- Ocean Engineering 381
- Artificial Intelligence 786
- Mechanical Engineering 674
- Computer Vision and Pattern Recognition 383
Countries citing papers authored by Yan‐Lin He
This map shows the geographic impact of Yan‐Lin He'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 Yan‐Lin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Lin He more than expected).
Fields of papers citing papers by Yan‐Lin He
This network shows the impact of papers produced by Yan‐Lin He. 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 Yan‐Lin He. The network helps show where Yan‐Lin He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Lin He, 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 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2017 | 93 | |
| 3 | 2017 | 88 | |
| 4 | 2015 | 73 | |
| 5 | 2021 | 67 | |
| 6 | 2021 | 66 | |
| 7 | 2020 | 65 | |
| 8 | 2018 | 65 | |
| 9 | 2020 | 65 | |
| 10 | 2020 | 62 | |
| 11 | 2018 | 61 | |
| 12 | 2016 | 52 | |
| 13 | 2022 | 46 | |
| 14 | 2023 | 46 | |
| 15 | 2015 | 45 | |
| 16 | 2017 | 41 | |
| 17 | 2022 | 41 | |
| 18 | 2023 | 40 | |
| 19 | 2022 | 40 | |
| 20 | 2022 | 38 |
About Yan‐Lin He
Yan‐Lin He is a scholar working on Control and Systems Engineering, Artificial Intelligence, Analytical Chemistry, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 230 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (97 papers), Mineral Processing and Grinding (41 papers), Machine Learning and ELM (38 papers), Neural Networks and Applications (27 papers), Spectroscopy and Chemometric Analyses (24 papers), Advanced Algorithms and Applications (22 papers), Underwater Vehicles and Communication Systems (19 papers) and Anomaly Detection Techniques and Applications (17 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Ocean Engineering (381 citations), Artificial Intelligence (786 citations), Mechanical Engineering (674 citations) and Computer Vision and Pattern Recognition (383 citations). Yan‐Lin He has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Qun-Xiong Zhu, Yuan Xu, Shuxiang Guo, Liwei Shi, Zhong-Sheng Chen, Ning Zhang, Zhiqiang Geng, Yuan Xu, Shaowu Pan and Ping Guo. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Chemometrics and Intelligent Laboratory Systems, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement and Microsystem Technologies.
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.