X. Li
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- David J. Bennett (5 shared papers)Y. Li (5 shared papers)Philip J. Harvey (4 shared papers)Shiqi Lai (1 shared paper)Peta J. Harvey (1 shared paper)David J. Steigmann (1 shared paper)H. Henein (3 shared papers)Mustafa Gül (1 shared paper)
In The Last Decade
X. Li
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 311
- Neurology 116
- Pathology and Forensic Medicine 186
- Endocrine and Autonomic Systems 71
- Neurology 129
Countries citing papers authored by X. Li
This map shows the geographic impact of X. 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 X. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Li more than expected).
Fields of papers citing papers by X. Li
This network shows the impact of papers produced by X. 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 X. Li. The network helps show where X. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside X. 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 | 1989 | 183 | |
| 2 | 2006 | 167 | |
| 3 | 2005 | 141 | |
| 4 | 2006 | 118 | |
| 5 | 2004 | 87 | |
| 6 | 2007 | 68 | |
| 7 | 2004 | 67 | |
| 8 | 1990 | 51 | |
| 9 | 2021 | 40 | |
| 10 | 2017 | 33 | |
| 11 | 1995 | 31 | |
| 12 | 2020 | 12 | |
| 13 | 1999 | 10 | |
| 14 | 2006 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2025 | 6 |
About X. Li
X. Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Pathology and Forensic Medicine and Signal Processing, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (4 papers), Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Microstructure and Mechanical Properties of Steels (2 papers), Atmospheric Ozone and Climate (2 papers), Anomaly Detection Techniques and Applications (2 papers), Atmospheric chemistry and aerosols (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (311 citations), Neurology (116 citations), Pathology and Forensic Medicine (186 citations), Endocrine and Autonomic Systems (71 citations) and Neurology (129 citations). X. Li has collaborated with scholars based in Canada, China and Iran. Frequent co-authors include David J. Bennett, Y. Li, Philip J. Harvey, Shiqi Lai, Peta J. Harvey, David J. Steigmann, H. Henein, Mustafa Gül, Amin Komeili and Yonglong Luo. Their work appears in journals such as Journal of Neurophysiology, International Journal of Non-Linear Mechanics, Journal of Animal Science, Gene and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.