Xiang Wan
- Anesthesiology and Pain Medicine top 0.5%
- Surgery top 0.5%
-
- Genetic Associations and Epidemiology 24
- Genetic Mapping and Diversity in Plants and Animals 9
-
- Topic Modeling 17
- Natural Language Processing Techniques 11
- AI in cancer detection 8
-
- Bioinformatics and Genomic Networks 14
- Gene expression and cancer classification 12
-
- COVID-19 diagnosis using AI 6
- Journals
- Bioinformatics (16 papers)BMC Bioinformatics (5 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiang Wan
124 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Critical Care and Intensive Care Medicine 572
- Anesthesiology and Pain Medicine 580
- Surgery 3.4k
- Cardiology and Cardiovascular Medicine 1.5k
- Pulmonary and Respiratory Medicine 1.9k
Countries citing papers authored by Xiang Wan
This map shows the geographic impact of Xiang Wan'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 Xiang Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Wan more than expected).
Fields of papers citing papers by Xiang Wan
This network shows the impact of papers produced by Xiang Wan. 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 Xiang Wan. The network helps show where Xiang Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiang Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 64 | |
| 11 | 2022 | 21 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 48 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 48 | |
| 16 | 2015 | 3 | |
| 17 | Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile rangebreakdown → | 2014 | 7836 |
| 18 | 2011 | 9 | |
| 19 | 2009 | 62 | |
| 20 | 2003 | 40 |
About Xiang Wan
Xiang Wan is a scholar working on Genetics, Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics and Health Informatics, having authored 133 papers that have together received 14.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (24 papers), Topic Modeling (17 papers), Bioinformatics and Genomic Networks (14 papers), Gene expression and cancer classification (12 papers), Natural Language Processing Techniques (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), AI in cancer detection (8 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (572 citations), Anesthesiology and Pain Medicine (580 citations), Surgery (3.4k citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Pulmonary and Respiratory Medicine (1.9k citations). Xiang Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tiejun Tong, Jiming Liu, Wenqian Wang, Dehui Luo, Can Yang, Weichuan Yu, Yan Song, Qiang Yang, Zhihong Chen and Hong Xue. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Medical Imaging and The American Journal of Human Genetics.
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.