Wu Wang
Impact in
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- Catalysis and Oxidation Reactions
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 7
- Journals
- Academic Radiology (3 papers)ACS Catalysis (2 papers)BioMetals (2 papers)Frontiers in Microbiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wu Wang
46 papers receiving 739 citations
Peers
Comparison fields: 5 of 109
- Catalysis 49
- Radiology, Nuclear Medicine and Imaging 161
- Renewable Energy, Sustainability and the Environment 91
- Food Science 99
- Animal Science and Zoology 41
Countries citing papers authored by Wu Wang
This map shows the geographic impact of Wu 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 Wu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Wang more than expected).
Fields of papers citing papers by Wu Wang
This network shows the impact of papers produced by Wu 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 Wu Wang. The network helps show where Wu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 33 | |
| 6 | 2023 | 0 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 23 | |
| 13 | 2018 | 13 | |
| 14 | 2015 | 32 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 14 | |
| 17 | 2011 | 8 | |
| 18 | Study on the Chemical Constiuents in the Essential Oil from Sabina Vulgaris Antoine | 2005 | 1 |
| 19 | Study on anti-brown treatments of MP lettuce | 2004 | 4 |
| 20 | The geochemical characteristics of selenium and fluorine in soils of Daba Mountains | 2003 | 4 |
About Wu Wang
Wu Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Medicine, Electrochemistry, Urology and Renewable Energy, Sustainability and the Environment, having authored 48 papers that have together received 745 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Surgical Treatments (4 papers), Cancer therapeutics and mechanisms (3 papers), Catalytic Processes in Materials Science (3 papers), Analytical chemistry methods development (3 papers), Hair Growth and Disorders (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Catalysis (49 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Renewable Energy, Sustainability and the Environment (91 citations), Food Science (99 citations) and Animal Science and Zoology (41 citations). Wu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanyan Xu, Hongliang Sun, Kaining Shi, Guoqiang Tan, Bao Zhang, Ran Meng, Xiaolong Li, Jieshun Cheng, Wenjie Liu and Huangen Ding. Their work appears in journals such as Academic Radiology, ACS Catalysis, BioMetals, Frontiers in Microbiology 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.