Lan Wei
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- EEG and Brain-Computer Interfaces 14
- Sleep and Wakefulness Research 2
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- Epilepsy research and treatment 12
- Co-authors
- Catherine Mooney (24 shared papers)Yuhan Du (3 shared papers)Anna Markella Antoniadi (3 shared papers)Brett A. Becker (1 shared paper)Claudia Mazo (1 shared paper)Fionnuala M. McAuliffe (2 shared papers)Anthony R. Rafferty (1 shared paper)Madeleine M. Lowery (5 shared papers)
In The Last Decade
Lan Wei
21 papers receiving 595 citations
Lan Wei's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 145
- Health Information Management 64
- Artificial Intelligence 241
- Family Practice 12
- Cognitive Neuroscience 93
Countries citing papers authored by Lan Wei
This map shows the geographic impact of Lan Wei'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 Lan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wei more than expected).
Fields of papers citing papers by Lan Wei
This network shows the impact of papers produced by Lan Wei. 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 Lan Wei. The network helps show where Lan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wei, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review Hit paper breakdown → | 2021 | 369 |
| 2 | 2022 | 76 | |
| 3 | 2023 | 34 | |
| 4 | 2021 | 27 | |
| 5 | 2020 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Lan Wei
Lan Wei is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 25 papers that have together received 605 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Epilepsy research and treatment (12 papers), Neonatal and fetal brain pathology (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Machine Learning in Healthcare (3 papers), Blind Source Separation Techniques (2 papers), Sleep and Wakefulness Research (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (145 citations), Health Information Management (64 citations), Artificial Intelligence (241 citations), Family Practice (12 citations) and Cognitive Neuroscience (93 citations). Lan Wei has collaborated with scholars based in Ireland, China and Italy. Frequent co-authors include Catherine Mooney, Yuhan Du, Anna Markella Antoniadi, Brett A. Becker, Claudia Mazo, Fionnuala M. McAuliffe, Anthony R. Rafferty, Madeleine M. Lowery, Sean Mathieson and Geraldine B. Boylan. Their work appears in journals such as Applied Sciences, IEEE Transactions on Biomedical Engineering, Journal of Personalized Medicine, Nature and Science of Sleep and IEEE Access.
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.