Kefa Zhou
Impact in
- Geophysics top 2%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Media Technology top 1%
- Remote-Sensing Image Classification
Papers in
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- Geochemistry and Geologic Mapping 72
-
- Remote-Sensing Image Classification 42
- Co-authors
- Yue Liu (8 shared papers)Jinlin Wang (48 shared papers)Nannan Zhang (7 shared papers)Qiuming Cheng (4 shared papers)Wenjiao Xiao (13 shared papers)Yanjing Chen (5 shared papers)Yanshuang Wu (4 shared papers)Qinglin Xia (3 shared papers)
- Journals
- Ore Geology Reviews (12 papers)Remote Sensing (7 papers)Natural Resources Research (6 papers)International Geology Review (3 papers)Journal of Geochemical Exploration (3 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Kefa Zhou
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Geophysics 670
- Media Technology 380
- Artificial Intelligence 1.1k
- Environmental Engineering 340
- Geochemistry and Petrology 104
Countries citing papers authored by Kefa Zhou
This map shows the geographic impact of Kefa Zhou'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 Kefa Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kefa Zhou more than expected).
Fields of papers citing papers by Kefa Zhou
This network shows the impact of papers produced by Kefa Zhou. 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 Kefa Zhou. The network helps show where Kefa Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Kefa Zhou, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2016 | 69 | |
| 3 | 2016 | 66 | |
| 4 | 2014 | 59 | |
| 5 | 2017 | 57 | |
| 6 | 2016 | 55 | |
| 7 | 2016 | 54 | |
| 8 | 2014 | 42 | |
| 9 | 2017 | 42 | |
| 10 | 2023 | 41 | |
| 11 | 2017 | 40 | |
| 12 | 2016 | 39 | |
| 13 | 2018 | 39 | |
| 14 | 2017 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2005 | 37 | |
| 17 | 2017 | 36 | |
| 18 | 2017 | 36 | |
| 19 | 2017 | 34 | |
| 20 | 2015 | 33 |
About Kefa Zhou
Kefa Zhou is a scholar working on Artificial Intelligence, Media Technology, Geophysics, Environmental Engineering and Global and Planetary Change, having authored 127 papers that have together received 1.7k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (72 papers), Remote-Sensing Image Classification (42 papers), Geological and Geochemical Analysis (27 papers), Soil Geostatistics and Mapping (17 papers), earthquake and tectonic studies (14 papers), Land Use and Ecosystem Services (13 papers), Environmental Changes in China (11 papers) and High-pressure geophysics and materials (11 papers). The work is most often cited by research in Geophysics (670 citations), Media Technology (380 citations), Artificial Intelligence (1.1k citations), Environmental Engineering (340 citations) and Geochemistry and Petrology (104 citations). Kefa Zhou has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yue Liu, Jinlin Wang, Nannan Zhang, Qiuming Cheng, Wenjiao Xiao, Yanjing Chen, Yanshuang Wu, Qinglin Xia, Miao Sang and Emmanuel John M. Carranza. Their work appears in journals such as Ore Geology Reviews, Remote Sensing, Natural Resources Research, International Geology Review and Journal of Geochemical Exploration.
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.