Hao Yan
Impact in
- Computational Mathematics top 2%
- Health Informatics top 2%
Papers in
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- Vibration and Dynamic Analysis 14
- Fault Detection and Control Systems 11
-
- Anomaly Detection Techniques and Applications 12
- Co-authors
- Jianjun Shi (14 shared papers)Kamran Paynabar (9 shared papers)Lin Wang (12 shared papers)Frank Setzer (6 shared papers)Jing Li (5 shared papers)Mel Mupparapu (5 shared papers)Qiao Ni (9 shared papers)Xinyu Zhao (10 shared papers)
- Journals
- IEEE Transactions on Automation Science and Engineering (9 papers)Technometrics (7 papers)IISE Transactions (5 papers)Chemical Engineering Journal (4 papers)Journal of Quality Technology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hao Yan
150 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 180
- Computational Mathematics 64
- Health Informatics 54
- Statistics, Probability and Uncertainty 230
- Oral Surgery 219
- Control and Systems Engineering 528
Countries citing papers authored by Hao Yan
This map shows the geographic impact of Hao 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 Hao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yan more than expected).
Fields of papers citing papers by Hao Yan
This network shows the impact of papers produced by Hao 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 Hao Yan. The network helps show where Hao Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 152 | |
| 2 | 2021 | 143 | |
| 3 | 2014 | 109 | |
| 4 | 2017 | 93 | |
| 5 | 2020 | 92 | |
| 6 | 2015 | 77 | |
| 7 | 2016 | 75 | |
| 8 | 2022 | 70 | |
| 9 | 2021 | 67 | |
| 10 | 2020 | 52 | |
| 11 | 2022 | 50 | |
| 12 | 2023 | 45 | |
| 13 | 2015 | 43 | |
| 14 | 2017 | 43 | |
| 15 | 2009 | 43 | |
| 16 | 2022 | 42 | |
| 17 | 2018 | 42 | |
| 18 | 2022 | 42 | |
| 19 | 2020 | 41 | |
| 20 | 2018 | 40 |
About Hao Yan
Hao Yan is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Mechanical Engineering, having authored 170 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vibration and Dynamic Analysis (14 papers), Industrial Vision Systems and Defect Detection (14 papers), Fluid Dynamics and Vibration Analysis (13 papers), Anomaly Detection Techniques and Applications (12 papers), Fault Detection and Control Systems (11 papers), Advanced Statistical Process Monitoring (10 papers), Advanced X-ray and CT Imaging (7 papers) and Mechanical stress and fatigue analysis (6 papers). The work is most often cited by research in Computational Mathematics (64 citations), Health Informatics (54 citations), Statistics, Probability and Uncertainty (230 citations), Oral Surgery (219 citations) and Control and Systems Engineering (528 citations). Hao Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianjun Shi, Kamran Paynabar, Lin Wang, Frank Setzer, Jing Li, Mel Mupparapu, Qiao Ni, Xinyu Zhao, Yongming Liu and Mingwu Li. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Technometrics, IISE Transactions, Chemical Engineering Journal and Journal of Quality Technology.
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.