Wei Jin
Impact in
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- Traditional Chinese Medicine Analysis
- Analytical Chemistry top 10%
- Chromatography in Natural Products
Papers in ⓘ
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- Dam Engineering and Safety 11
- Hydraulic flow and structures 3
- Co-authors
- Dale L. Boger (5 shared papers)Peng‐Fei Tu (2 shared papers)Haiming Shi (2 shared papers)Paulos Chumala (1 shared paper)Gang Wang (9 shared papers)M. Soledade C. Pedras (1 shared paper)Ri‐Li Ge (1 shared paper)Yu Lou (1 shared paper)
- Journals
- Journal of Alzheimer s Disease (3 papers)Engineering Geology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (2 papers)Geotechnical Testing Journal (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Jin
52 papers receiving 982 citations
Peers
Comparison fields: 5 of 126
- Complementary and alternative medicine 65
- Analytical Chemistry 71
- Computer Graphics and Computer-Aided Design 19
- Neurology 81
- Toxicology 18
Countries citing papers authored by Wei Jin
This map shows the geographic impact of Wei Jin'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 Wei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Jin more than expected).
Fields of papers citing papers by Wei Jin
This network shows the impact of papers produced by Wei Jin. 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 Wei Jin. The network helps show where Wei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Jin, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 99 | |
| 2 | 2009 | 86 | |
| 3 | 2008 | 80 | |
| 4 | 2006 | 68 | |
| 5 | 2007 | 67 | |
| 6 | 2007 | 50 | |
| 7 | 2010 | 46 | |
| 8 | 2005 | 37 | |
| 9 | 2009 | 36 | |
| 10 | 2023 | 35 | |
| 11 | 2008 | 27 | |
| 12 | 2012 | 27 | |
| 13 | 2023 | 24 | |
| 14 | 2006 | 23 | |
| 15 | 2010 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2007 | 19 | |
| 18 | State-of-the-art on durability of concrete structures | 2002 | 18 |
| 19 | 2010 | 18 | |
| 20 | 2014 | 17 |
About Wei Jin
Wei Jin is a scholar working on Civil and Structural Engineering, Computer Graphics and Computer-Aided Design, Management, Monitoring, Policy and Law, Analytical Chemistry and Toxicology, having authored 57 papers that have together received 1000 indexed citations. Recurring topics across this work include Dam Engineering and Safety (11 papers), Hydrology and Sediment Transport Processes (7 papers), Landslides and related hazards (6 papers), Hydraulic flow and structures (3 papers), Advanced Vision and Imaging (3 papers), Carbon Nanotubes in Composites (3 papers), Chromatography in Natural Products (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Complementary and alternative medicine (65 citations), Analytical Chemistry (71 citations), Computer Graphics and Computer-Aided Design (19 citations), Neurology (81 citations) and Toxicology (18 citations). Wei Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dale L. Boger, Peng‐Fei Tu, Haiming Shi, Paulos Chumala, Gang Wang, M. Soledade C. Pedras, Ri‐Li Ge, Ri‐Li Ge, Yu Lou and Sukwon Hong. Their work appears in journals such as Journal of Alzheimer s Disease, Engineering Geology, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Geotechnical Testing Journal.
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.