Jin Wu
Impact in
- Structural Biology top 5%
- Radiation top 5%
- Advanced X-ray Imaging Techniques
- X-ray Spectroscopy and Fluorescence Analysis
Papers in
-
- Optical measurement and interference techniques 11
- Advanced Vision and Imaging 11
- Advanced Image Processing Techniques 7
- Co-authors
- Tohoru Takeda (14 shared papers)Lei Xu (7 shared papers)Quan Zou (7 shared papers)Atsushi Momose (4 shared papers)Yuji Itai (6 shared papers)Shanshan Jiang (1 shared paper)Guanting Lu (6 shared papers)Brian Halligan (1 shared paper)
- Journals
- Optics Express (3 papers)Annals of Nuclear Medicine (3 papers)PLoS ONE (3 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jin Wu
124 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 148
- Structural Biology 46
- Radiation 204
- Cancer Research 295
- Molecular Biology 768
- Computer Vision and Pattern Recognition 168
Countries citing papers authored by Jin Wu
This map shows the geographic impact of Jin Wu'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 Jin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wu more than expected).
Fields of papers citing papers by Jin Wu
This network shows the impact of papers produced by Jin Wu. 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 Jin Wu. The network helps show where Jin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Wu, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 107 | |
| 2 | 2004 | 97 | |
| 3 | 2020 | 83 | |
| 4 | 1995 | 72 | |
| 5 | 2002 | 68 | |
| 6 | 2020 | 59 | |
| 7 | 2023 | 57 | |
| 8 | 2008 | 57 | |
| 9 | 2022 | 53 | |
| 10 | 2022 | 44 | |
| 11 | 2011 | 40 | |
| 12 | 2020 | 38 | |
| 13 | 2009 | 35 | |
| 14 | 2012 | 30 | |
| 15 | 2011 | 28 | |
| 16 | 2014 | 25 | |
| 17 | 2021 | 23 | |
| 18 | 2010 | 23 | |
| 19 | 2016 | 23 | |
| 20 | Expression of anion exchanger 2 in human gastric cancer. | 2008 | 22 |
About Jin Wu
Jin Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Media Technology and Cancer Research, having authored 137 papers that have together received 1.7k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (11 papers), Advanced Vision and Imaging (11 papers), Advanced X-ray Imaging Techniques (11 papers), Ferroptosis and cancer prognosis (9 papers), Image Processing Techniques and Applications (9 papers), Aquatic Invertebrate Ecology and Behavior (7 papers), Advanced Image Processing Techniques (7 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Structural Biology (46 citations), Radiation (204 citations), Cancer Research (295 citations), Molecular Biology (768 citations) and Computer Vision and Pattern Recognition (168 citations). Jin Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tohoru Takeda, Lei Xu, Quan Zou, Atsushi Momose, Yuji Itai, Shanshan Jiang, Guanting Lu, Brian Halligan, E.A. Dratz and Simon Twigger. Their work appears in journals such as Optics Express, Annals of Nuclear Medicine, PLoS ONE, Comparative Biochemistry and Physiology Part D Genomics and Proteomics and Neurocomputing.
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.