Kaixing Wu
Impact in
- Geophysics top 10%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in
-
- Geochemistry and Geologic Mapping 10
-
- Geological and Geochemical Analysis 9
- High-pressure geophysics and materials 3
- earthquake and tectonic studies 3
- Co-authors
- Tao Sun (5 shared papers)Ruizhong Hu (6 shared papers)Hui Li (1 shared paper)Fei Chen (1 shared paper)Xian‐Wu Bi (2 shared papers)Mei‐Fu Zhou (1 shared paper)Wenchao Su (2 shared papers)Pete Burnard (1 shared paper)
In The Last Decade
Kaixing Wu
18 papers receiving 393 citations
Peers
Comparison fields: 5 of 43
- Geophysics 220
- Artificial Intelligence 291
- Media Technology 77
- Geochemistry and Petrology 37
- Environmental Engineering 48
Countries citing papers authored by Kaixing Wu
This map shows the geographic impact of Kaixing 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 Kaixing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixing Wu more than expected).
Fields of papers citing papers by Kaixing Wu
This network shows the impact of papers produced by Kaixing 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 Kaixing Wu. The network helps show where Kaixing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaixing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2003 | 127 | |
| 3 | 2009 | 50 | |
| 4 | 2017 | 17 | |
| 5 | 2019 | 15 | |
| 6 | DETERMINATION OF ORE- AND ROCK- FORMING TIME OF THE MACHANGQING PORPHYRY Cu(Mo) DEPOSIT, WESTERN YUNNAN PROVINCE | 2005 | 9 |
| 7 | 2024 | 9 | |
| 8 | MINERAL CHEMISTRY OF BIOTITE FROM YANBEI PLUTON:IMPLICATION FOR Sn-METALLOGENY | 2007 | 6 |
| 9 | 2024 | 6 | |
| 10 | MINERAL CHEMISTRY STUDIES OF Cu-AND Au-MINERALIZED ALKALINE INTRUSIONS | 2006 | 4 |
| 11 | 2005 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2006 | 1 | |
| 18 | STUDY OF THE FLUID INCLUSIONS IN ALTERED PORPHYRES IN THE BEIYA GOLD DEPOSIT, WSTERN YUNNAN | 2005 | 1 |
About Kaixing Wu
Kaixing Wu is a scholar working on Artificial Intelligence, Geophysics, Environmental Engineering, Economics and Econometrics and Mechanical Engineering, having authored 18 papers that have together received 407 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (10 papers), Geological and Geochemical Analysis (9 papers), Geochemistry and Geochronology of Asian Mineral Deposits (4 papers), Soil Geostatistics and Mapping (3 papers), High-pressure geophysics and materials (3 papers), earthquake and tectonic studies (3 papers), Mineral Processing and Grinding (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Geophysics (220 citations), Artificial Intelligence (291 citations), Media Technology (77 citations), Geochemistry and Petrology (37 citations) and Environmental Engineering (48 citations). Kaixing Wu has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Tao Sun, Ruizhong Hu, Hui Li, Fei Chen, Xian‐Wu Bi, Mei‐Fu Zhou, Wenchao Su, Pete Burnard, J. J. Hanley and Hongli Li. Their work appears in journals such as Natural Resources Research, Journal of Geochemical Exploration, Mine Water and the Environment, Hydrometallurgy and Ore Geology Reviews.
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.