Lei Su
Impact in
- Health Informatics top 10%
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
-
- Power Transformer Diagnostics and Insulation 10
- Smart Grid and Power Systems 7
-
- Topic Modeling 11
- Text and Document Classification Technologies 7
- Co-authors
- Yunfa Fu (13 shared papers)Liping Wu (9 shared papers)Si Wang (1 shared paper)Yadong Jiang (1 shared paper)Qiuping Zhang (1 shared paper)Guangzhong Xie (1 shared paper)Huiling Tai (1 shared paper)Yuanjie Su (1 shared paper)
- Journals
- Computational Intelligence and Neuroscience (3 papers)Applied Sciences (2 papers)IEEE Access (2 papers)Energies (2 papers)Wireless Communications and Mobile Computing (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lei Su
71 papers receiving 528 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 11
- Bioengineering 37
- Cognitive Neuroscience 108
- Human-Computer Interaction 21
- Artificial Intelligence 107
Countries citing papers authored by Lei Su
This map shows the geographic impact of Lei Su'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 Lei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Su more than expected).
Fields of papers citing papers by Lei Su
This network shows the impact of papers produced by Lei Su. 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 Lei Su. The network helps show where Lei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Su, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2021 | 48 | |
| 3 | 2021 | 39 | |
| 4 | 2018 | 36 | |
| 5 | 2020 | 26 | |
| 6 | 2010 | 23 | |
| 7 | 2024 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2025 | 8 |
About Lei Su
Lei Su is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Information Systems, Control and Systems Engineering and Cognitive Neuroscience, having authored 79 papers that have together received 550 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Topic Modeling (11 papers), Power Transformer Diagnostics and Insulation (10 papers), Neuroscience and Neural Engineering (7 papers), Smart Grid and Power Systems (7 papers), Text and Document Classification Technologies (7 papers), Expert finding and Q&A systems (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). The work is most often cited by research in Health Informatics (11 citations), Bioengineering (37 citations), Cognitive Neuroscience (108 citations), Human-Computer Interaction (21 citations) and Artificial Intelligence (107 citations). Lei Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yunfa Fu, Liping Wu, Si Wang, Yadong Jiang, Qiuping Zhang, Guangzhong Xie, Huiling Tai, Yuanjie Su, Hongfei Du and Anmin Gong. Their work appears in journals such as Computational Intelligence and Neuroscience, Applied Sciences, IEEE Access, Energies and Wireless Communications and Mobile Computing.
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.