Xiaoman Wang
Impact in
Papers in
-
- Pluripotent Stem Cells Research 2
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- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 1
- Co-authors
- Yunhui Liu (1 shared paper)Qinglin Liu (1 shared paper)Liqun Jia (2 shared papers)Linxue Qian (1 shared paper)Shengfan Wang (1 shared paper)Richard D. Bellah (1 shared paper)Ning Wang (1 shared paper)Weiguo Zhou (1 shared paper)
- Journals
- Advanced Science (1 paper)Acta Pharmacologica Sinica (1 paper)PeerJ (1 paper)Pediatric Nephrology (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoman Wang
24 papers receiving 229 citations
Peers
Comparison fields: 5 of 70
- Critical Care and Intensive Care Medicine 11
- Human-Computer Interaction 11
- Cancer Research 24
- Neurology 21
- Control and Systems Engineering 34
Countries citing papers authored by Xiaoman Wang
This map shows the geographic impact of Xiaoman Wang'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 Xiaoman Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Wang more than expected).
Fields of papers citing papers by Xiaoman Wang
This network shows the impact of papers produced by Xiaoman Wang. 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 Xiaoman Wang. The network helps show where Xiaoman Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoman Wang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 42 | |
| 2 | 2019 | 37 | |
| 3 | 2018 | 30 | |
| 4 | 2020 | 26 | |
| 5 | 2014 | 18 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2017 | 4 | |
| 13 | 2009 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2011 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 2 | |
| 19 | [Clinical value of MLPA in the prenatal gene diagnosis of Duchenne muscular dystrophy]. | 2013 | 2 |
| 20 | Medical Image Retrieval Based on Contourlet Transform | 2009 | 1 |
About Xiaoman Wang
Xiaoman Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Epidemiology, Pulmonary and Respiratory Medicine and Ecology, having authored 27 papers that have together received 233 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Image Retrieval and Classification Techniques (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Ferroptosis and cancer prognosis (1 paper), Silk-based biomaterials and applications (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (11 citations), Human-Computer Interaction (11 citations), Cancer Research (24 citations), Neurology (21 citations) and Control and Systems Engineering (34 citations). Xiaoman Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yunhui Liu, Qinglin Liu, Liqun Jia, Linxue Qian, Shengfan Wang, Richard D. Bellah, Ning Wang, Weiguo Zhou, Xin Jiang and Chao Han. Their work appears in journals such as Advanced Science, Acta Pharmacologica Sinica, PeerJ, Pediatric Nephrology and Stem Cell Research & Therapy.
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.