Kai‐Jun Zhang
Impact in
- Geophysics top 0.5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 0.5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 72
- Geological and Geochemical Analysis 70
- earthquake and tectonic studies 43
- High-pressure geophysics and materials 31
-
- Navier-Stokes equation solutions 30
- Co-authors
- Yu-Xiu Zhang (18 shared papers)Xianchun Tang (10 shared papers)Jianxin Cai (6 shared papers)Bin Xia (4 shared papers)Lilong Yan (11 shared papers)Lu Zeng (9 shared papers)Xin Jin (9 shared papers)Taiping Zhao (2 shared papers)
In The Last Decade
Kai‐Jun Zhang
129 papers receiving 4.7k citations
Kai‐Jun Zhang's Hit Papers
Peers
Comparison fields: 5 of 108
- Geophysics 3.9k
- Geochemistry and Petrology 805
- Geology 445
- Paleontology 464
- Artificial Intelligence 1.6k
Countries citing papers authored by Kai‐Jun Zhang
This map shows the geographic impact of Kai‐Jun Zhang'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 Kai‐Jun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Jun Zhang more than expected).
Fields of papers citing papers by Kai‐Jun Zhang
This network shows the impact of papers produced by Kai‐Jun Zhang. 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 Kai‐Jun Zhang. The network helps show where Kai‐Jun Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Jun Zhang, 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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Late Mesozoic tectonic evolution and growth of the Tibetan plateau prior to the Indo-Asian collision Hit paper breakdown → | 2012 | 411 |
| 2 | 2008 | 256 | |
| 3 | 1997 | 223 | |
| 4 | 2014 | 215 | |
| 5 | 2004 | 197 | |
| 6 | 2006 | 178 | |
| 7 | 2007 | 174 | |
| 8 | 2006 | 163 | |
| 9 | 2007 | 137 | |
| 10 | 2010 | 113 | |
| 11 | 2004 | 111 | |
| 12 | 2017 | 106 | |
| 13 | 2002 | 98 | |
| 14 | 2017 | 89 | |
| 15 | 2009 | 88 | |
| 16 | 2009 | 80 | |
| 17 | 2007 | 79 | |
| 18 | 2006 | 79 | |
| 19 | 2000 | 78 | |
| 20 | 2015 | 71 |
About Kai‐Jun Zhang
Kai‐Jun Zhang is a scholar working on Geophysics, Applied Mathematics, Mathematical Physics, Artificial Intelligence and Geochemistry and Petrology, having authored 140 papers that have together received 4.9k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (70 papers), earthquake and tectonic studies (43 papers), High-pressure geophysics and materials (31 papers), Navier-Stokes equation solutions (30 papers), Advanced Mathematical Physics Problems (25 papers), Geochemistry and Geologic Mapping (21 papers), Geochemistry and Elemental Analysis (20 papers) and Geological and Geophysical Studies (15 papers). The work is most often cited by research in Geophysics (3.9k citations), Geochemistry and Petrology (805 citations), Geology (445 citations), Paleontology (464 citations) and Artificial Intelligence (1.6k citations). Kai‐Jun Zhang has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Yu-Xiu Zhang, Xianchun Tang, Jianxin Cai, Bin Xia, Lilong Yan, Lu Zeng, Xin Jin, Taiping Zhao, Bing Li and Ming Mei. Their work appears in journals such as Lithos, Journal of Differential Equations, International Geology Review, Gondwana Research and Communications in Mathematical Sciences.
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.