Hexiang Wang
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
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- Sarcoma Diagnosis and Treatment 6
- Co-authors
- Dapeng Hao (7 shared papers)Feng Hou (10 shared papers)Liang Chang (1 shared paper)Yubo Li (1 shared paper)Qing An (1 shared paper)Shun Wang (1 shared paper)Zhiwei Zuo (1 shared paper)Chencui Huang (6 shared papers)
- Journals
- BioMed Research International (5 papers)Journal of Magnetic Resonance Imaging (4 papers)Cancer Imaging (2 papers)Organic Letters (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Hexiang Wang
33 papers receiving 398 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 12
- Radiology, Nuclear Medicine and Imaging 177
- Rheumatology 72
- Pulmonary and Respiratory Medicine 127
- Organic Chemistry 108
Countries citing papers authored by Hexiang Wang
This map shows the geographic impact of Hexiang 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 Hexiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hexiang Wang more than expected).
Fields of papers citing papers by Hexiang Wang
This network shows the impact of papers produced by Hexiang 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 Hexiang Wang. The network helps show where Hexiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hexiang 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 101 | |
| 2 | 2020 | 55 | |
| 3 | 2021 | 42 | |
| 4 | 2021 | 39 | |
| 5 | 2020 | 22 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Hexiang Wang
Hexiang Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Rheumatology and Artificial Intelligence, having authored 39 papers that have together received 404 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Sarcoma Diagnosis and Treatment (6 papers), Bone Tumor Diagnosis and Treatments (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Colorectal Cancer Screening and Detection (4 papers), Urinary and Genital Oncology Studies (3 papers), Head and Neck Surgical Oncology (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (177 citations), Rheumatology (72 citations), Pulmonary and Respiratory Medicine (127 citations) and Organic Chemistry (108 citations). Hexiang Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Dapeng Hao, Feng Hou, Liang Chang, Yubo Li, Qing An, Shun Wang, Zhiwei Zuo, Chencui Huang, Jihua Liu and Tengbo Yu. Their work appears in journals such as BioMed Research International, Journal of Magnetic Resonance Imaging, Cancer Imaging, Organic Letters and Frontiers in Oncology.
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.