Xiang Wan
Impact in
- Surgery top 1%
- Anesthesia and Pain Management
Papers in
-
- Topic Modeling 17
- Natural Language Processing Techniques 11
- AI in cancer detection 9
- Genetics 28
- Genetic Associations and Epidemiology 24
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- Jiming Liu (8 shared papers)Tiejun Tong (9 shared papers)Wenqian Wang (1 shared paper)Dehui Luo (3 shared papers)Can Yang (24 shared papers)Weichuan Yu (14 shared papers)Yan Song (6 shared papers)Zhihong Chen (7 shared papers)
- Journals
- Bioinformatics (16 papers)BMC Bioinformatics (5 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)IEEE Transactions on Medical Imaging (4 papers)IEEE Transactions on Plasma Science (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiang Wan
125 papers receiving 14.6k citations
Xiang Wan's Hit Papers
Peers
Comparison fields: 5 of 203
- Critical Care and Intensive Care Medicine 314
- Surgery 2.0k
- Anesthesiology and Pain Medicine 228
- Genetics 1.2k
- Health Informatics 56
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-authors
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
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range Hit paper breakdown → | 2014 | 8262 |
| 2 | Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range Hit paper breakdown → | 2016 | 2729 |
| 3 | 2008 | 462 | |
| 4 | 2010 | 366 | |
| 5 | 2020 | 296 | |
| 6 | Detecting the skewness of data from the five-number summary and its application in meta-analysis Hit paper breakdown → | 2023 | 193 |
| 7 | 2021 | 161 | |
| 8 | 2008 | 143 | |
| 9 | 2009 | 128 | |
| 10 | 2011 | 113 | |
| 11 | 2012 | 86 | |
| 12 | 2023 | 81 | |
| 13 | 2022 | 68 | |
| 14 | 2021 | 67 | |
| 15 | 2021 | 65 | |
| 16 | 2009 | 62 | |
| 17 | 2021 | 62 | |
| 18 | 2014 | 60 | |
| 19 | 2021 | 59 | |
| 20 | 2021 | 51 |
About Xiang Wan
Xiang Wan is a scholar working on Artificial Intelligence, Genetics, Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 134 papers that have together received 14.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (24 papers), Topic Modeling (17 papers), Natural Language Processing Techniques (11 papers), AI in cancer detection (9 papers), Multimodal Machine Learning Applications (6 papers), COVID-19 diagnosis using AI (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (314 citations), Surgery (2.0k citations), Anesthesiology and Pain Medicine (228 citations), Genetics (1.2k citations) and Health Informatics (56 citations). Xiang Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiming Liu, Tiejun Tong, Wenqian Wang, Dehui Luo, Can Yang, Weichuan Yu, Yan Song, Zhihong Chen, Qiang Yang 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 IEEE Transactions on Plasma Science.
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.