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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- Adversarial Robustness in Machine Learning 6
- Topic Modeling 5
- Advanced Graph Neural Networks 5
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- Advanced Sensor and Energy Harvesting Materials 6
- Fluid Dynamics and Mixing 4
- Co-authors
- King Wai Chiu Lai (6 shared papers)Dinghao Wu (11 shared papers)Lingwei Chen (9 shared papers)Xiaojun Wu (1 shared paper)Changzheng Wu (1 shared paper)Yuan Zhou (1 shared paper)Yue Lin (1 shared paper)Jing Peng (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)Applied Mathematics and Nonlinear Sciences (1 paper)Measurement (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Remote Sensing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoting Li
40 papers receiving 497 citations
Peers
Comparison fields: 5 of 89
- Polymers and Plastics 80
- Biomedical Engineering 187
- Artificial Intelligence 103
- Materials Chemistry 122
- Cognitive Neuroscience 49
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2020 | 104 | |
| 3 | 2013 | 39 | |
| 4 | 2013 | 29 | |
| 5 | 2022 | 25 | |
| 6 | 2018 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2023 | 4 |
About Xiaoting Li
Xiaoting Li is a scholar working on Artificial Intelligence, Biomedical Engineering, Information Systems, Cognitive Neuroscience and Signal Processing, having authored 41 papers that have together received 512 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Adversarial Robustness in Machine Learning (6 papers), Topic Modeling (5 papers), Tactile and Sensory Interactions (5 papers), Advanced Malware Detection Techniques (5 papers), Advanced Graph Neural Networks (5 papers), Fluid Dynamics and Mixing (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Polymers and Plastics (80 citations), Biomedical Engineering (187 citations), Artificial Intelligence (103 citations), Materials Chemistry (122 citations) and Cognitive Neuroscience (49 citations). Xiaoting Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include King Wai Chiu Lai, Dinghao Wu, Lingwei Chen, Xiaojun Wu, Changzheng Wu, Yuan Zhou, Yue Lin, Jing Peng, Zejun Li and Zhi Yu. Their work appears in journals such as Journal of the American Chemical Society, Applied Mathematics and Nonlinear Sciences, Measurement, ACM Transactions on Knowledge Discovery from Data and Remote Sensing.
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.