Xiaoting Li
Impact in
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- Conducting polymers and applications
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- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
Papers in
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- Advanced Sensor and Energy Harvesting Materials 6
- Fluid Dynamics and Mixing 4
- Muscle activation and electromyography studies 4
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- Topic Modeling 5
- Advanced Graph Neural Networks 3
- Co-authors
- King Wai Chiu Lai (6 shared papers)Yi Xie (1 shared paper)Yuan Zhou (1 shared paper)Zhi Yu (1 shared paper)Changzheng Wu (1 shared paper)Zejun Li (1 shared paper)Junchi Wu (1 shared paper)Yue Lin (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Measurement (1 paper)Flow Measurement and Instrumentation (1 paper)Journal of the American Chemical Society (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoting Li
34 papers receiving 425 citations
Peers
Comparison fields: 5 of 85
- Polymers and Plastics 76
- Biomedical Engineering 176
- Human-Computer Interaction 14
- Materials Chemistry 118
- Cognitive Neuroscience 48
Countries citing papers authored by Xiaoting Li
This map shows the geographic impact of Xiaoting Li'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 Xiaoting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Li more than expected).
Fields of papers citing papers by Xiaoting Li
This network shows the impact of papers produced by Xiaoting Li. 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 Xiaoting Li. The network helps show where Xiaoting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Li, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 116 | |
| 2 | 2020 | 93 | |
| 3 | 2013 | 33 | |
| 4 | 2013 | 28 | |
| 5 | 2022 | 24 | |
| 6 | 2018 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2014 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2013 | 3 |
About Xiaoting Li
Xiaoting Li is a scholar working on Biomedical Engineering, Artificial Intelligence, Cognitive Neuroscience, Information Systems and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 437 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Tactile and Sensory Interactions (5 papers), Topic Modeling (5 papers), Fluid Dynamics and Mixing (4 papers), Muscle activation and electromyography studies (4 papers), Advanced Graph Neural Networks (3 papers), Flow Measurement and Analysis (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Polymers and Plastics (76 citations), Biomedical Engineering (176 citations), Human-Computer Interaction (14 citations), Materials Chemistry (118 citations) and Cognitive Neuroscience (48 citations). Xiaoting Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include King Wai Chiu Lai, Yi Xie, Yuan Zhou, Zhi Yu, Changzheng Wu, Zejun Li, Junchi Wu, Yue Lin, Jing Peng and Jiajing Wu. Their work appears in journals such as Artificial Intelligence in Medicine, Measurement, Flow Measurement and Instrumentation, Journal of the American Chemical Society and Computational Statistics & Data Analysis.
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.