Lan Wei

24 papers receiving 609 citations

Lan Wei's Hit Papers

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review 2021 · 347 citations
3470+1+3Years since publication100200300

Peers

Lan Wei
Comparison fields: 5 of 110
  • Health Informatics 170
  • Health Information Management 76
  • Artificial Intelligence 278
  • Family Practice 14
  • Cognitive Neuroscience 91
Replace Silvia Seoni with:
Silvia Seoni Italy
Giovanni Paragliola Italy
Umberto Maniscalco Italy
Boran Şekeroğlu Cyprus
Khalid H. Malki Saudi Arabia
Arne Küderle Germany
Antônio H. Ribeiro Sweden
Gorka Epelde Spain
Vasileios C. Pezoulas Greece
Elie Bou Assi Canada
Lan Wei relative to Silvia Seoni Italy Silvia Seoni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lan Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lan Wei Line = papers co-authored together Lan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 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 →
2021347
2 202274
3 202330
4 202127
5 202125
6 202023
7 202216
8 202016
9 202014
10 202212
11 20218
12 20255
13 20244
14 20243
15 20223
16 20232
17 20252
18 20232
19 20202
20 20232

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 28 papers that have together received 622 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Epilepsy research and treatment (12 papers), Neonatal and fetal brain pathology (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Sleep and Wakefulness Research (4 papers), Machine Learning in Healthcare (4 papers), Traffic control and management (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (170 citations), Health Information Management (76 citations), Artificial Intelligence (278 citations), Family Practice (14 citations) and Cognitive Neuroscience (91 citations). Lan Wei has collaborated with scholars based in Ireland, China and United States. Frequent co-authors include Catherine Mooney, Yuhan Du, Anna Markella Antoniadi, Brett A. Becker, Claudia Mazo, Fionnuala M. McAuliffe, Anthony R. Rafferty, Xueyuan Li, Mengyu Guo and Shihua Yuan. Their work appears in journals such as Applied Sciences, IEEE Transactions on Biomedical Engineering, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, International Journal of Medical Informatics and Scientific Reports.

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.

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