Shan Lu
Impact in
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
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- Diabetes Treatment and Management
Papers in
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- Neural Networks and Applications 3
- Co-authors
- Qunxiong ZhuYan‐Lin HePeter C. DoerschukXingyuan LiR. J. RomanDavid L. MattsonJiahui MaAllen W. Cowley
- Journals
- IEEE Transactions on Instrumentation and Measurement (3 papers)Statistics and Computing (2 papers)Energy (2 papers)The Journal of Antibiotics (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shan Lu
50 papers receiving 469 citations
Peers
Comparison fields: 5 of 116
- Control and Systems Engineering 108
- Endocrinology, Diabetes and Metabolism 57
- Signal Processing 26
- Artificial Intelligence 76
- Nephrology 16
Countries citing papers authored by Shan Lu
This map shows the geographic impact of Shan Lu'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 Shan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Lu more than expected).
Fields of papers citing papers by Shan Lu
This network shows the impact of papers produced by Shan Lu. 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 Shan Lu. The network helps show where Shan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Lu, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 2 | |
| 19 | ALERT: Accurate Anytime Learning for Energy and Timeliness | 2019 | 1 |
| 20 | 2015 | 2 |
About Shan Lu
Shan Lu is a scholar working on Business and International Management, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Modeling and Simulation, having authored 59 papers that have together received 477 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Advanced Control Systems Optimization (5 papers), Advanced Neural Network Applications (4 papers), Speech and Audio Processing (3 papers), Computational Drug Discovery Methods (3 papers), Mineral Processing and Grinding (3 papers), Advanced Battery Technologies Research (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (108 citations), Endocrinology, Diabetes and Metabolism (57 citations), Signal Processing (26 citations), Artificial Intelligence (76 citations) and Nephrology (16 citations). Shan Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qunxiong Zhu, Yan‐Lin He, Peter C. Doerschuk, Xingyuan Li, R. J. Roman, David L. Mattson, Jiahui Ma, Allen W. Cowley, Qiang Hua and Pei Yu. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Statistics and Computing, Energy, The Journal of Antibiotics and Scientific Reports.
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.