Yanjun Wu
Impact in
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
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- Molecular Sensors and Ion Detection 6
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- Sulfur Compounds in Biology 6
- Co-authors
- Lingliang Long (7 shared papers)Aihua Gong (4 shared papers)Chi Zhang (4 shared papers)Ning Wang (1 shared paper)Lin Wang (2 shared papers)Jonathan L. Sessler (1 shared paper)Zhijian Zhang (1 shared paper)Kun Wang (1 shared paper)
- Journals
- International Journal of Surgery (2 papers)Chemistry - An Asian Journal (1 paper)Tetrahedron Letters (1 paper)Tetrahedron (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yanjun Wu
25 papers receiving 504 citations
Peers
Comparison fields: 5 of 84
- Spectroscopy 321
- Biochemistry 139
- Bioengineering 86
- Materials Chemistry 225
- Electrochemistry 20
Countries citing papers authored by Yanjun Wu
This map shows the geographic impact of Yanjun 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 Yanjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Wu more than expected).
Fields of papers citing papers by Yanjun Wu
This network shows the impact of papers produced by Yanjun 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 Yanjun Wu. The network helps show where Yanjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 169 | |
| 2 | 2015 | 94 | |
| 3 | 2014 | 43 | |
| 4 | 2015 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2023 | 23 | |
| 7 | 2005 | 21 | |
| 8 | 2021 | 11 | |
| 9 | 2003 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2013 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2000 | 3 | |
| 20 | 2023 | 2 |
About Yanjun Wu
Yanjun Wu is a scholar working on Spectroscopy, Biochemistry, Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 508 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (6 papers), Sulfur Compounds in Biology (6 papers), Luminescence and Fluorescent Materials (4 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Malware Detection Techniques (2 papers), Analytical Chemistry and Sensors (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Spectroscopy (321 citations), Biochemistry (139 citations), Bioengineering (86 citations), Materials Chemistry (225 citations) and Electrochemistry (20 citations). Yanjun Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lingliang Long, Aihua Gong, Chi Zhang, Ning Wang, Lin Wang, Jonathan L. Sessler, Zhijian Zhang, Kun Wang, Fei-Long Hu and Zhixiang Han. Their work appears in journals such as International Journal of Surgery, Chemistry - An Asian Journal, Tetrahedron Letters, Tetrahedron and Applied Physics Letters.
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.