Jun Zhong
Impact in
- Geophysics top 5%
- 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 7
-
- Geological and Geochemical Analysis 8
- earthquake and tectonic studies 7
- High-pressure geophysics and materials 2
- Co-authors
- Yanjing Chen (5 shared papers)Franco Pirajno (3 shared papers)Jinping Qi (3 shared papers)Jing Li (2 shared papers)Nuo Li (1 shared paper)Jing Chen (1 shared paper)Jing Chen (2 shared papers)Rui Wang (1 shared paper)
- Journals
- Ore Geology Reviews (4 papers)Nature Communications (1 paper)Journal of Advanced Transportation (1 paper)International Journal for Equity in Health (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Zhong
23 papers receiving 584 citations
Peers
Comparison fields: 5 of 77
- Geophysics 317
- Artificial Intelligence 283
- Geochemistry and Petrology 51
- Inorganic Chemistry 59
- General Energy 4
Countries citing papers authored by Jun Zhong
This map shows the geographic impact of Jun Zhong'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 Jun Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhong more than expected).
Fields of papers citing papers by Jun Zhong
This network shows the impact of papers produced by Jun Zhong. 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 Jun Zhong. The network helps show where Jun Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Zhong, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 103 | |
| 2 | 2024 | 68 | |
| 3 | 2021 | 67 | |
| 4 | 2016 | 66 | |
| 5 | 2016 | 62 | |
| 6 | 2017 | 43 | |
| 7 | 2017 | 39 | |
| 8 | 2006 | 27 | |
| 9 | 2020 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 17 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2006 | 2 | |
| 20 | 1993 | 2 |
About Jun Zhong
Jun Zhong is a scholar working on Artificial Intelligence, Geophysics, Transportation, Automotive Engineering and Inorganic Chemistry, having authored 24 papers that have together received 598 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (8 papers), earthquake and tectonic studies (7 papers), Geochemistry and Geologic Mapping (7 papers), Transportation and Mobility Innovations (3 papers), Urban Transport and Accessibility (3 papers), Radioactive element chemistry and processing (3 papers), Sharing Economy and Platforms (2 papers) and High-pressure geophysics and materials (2 papers). The work is most often cited by research in Geophysics (317 citations), Artificial Intelligence (283 citations), Geochemistry and Petrology (51 citations), Inorganic Chemistry (59 citations) and General Energy (4 citations). Jun Zhong has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanjing Chen, Franco Pirajno, Jinping Qi, Jing Li, Nuo Li, Jing Chen, Jing Chen, Rui Wang, Haoxuan Sun and Fengren Cao. Their work appears in journals such as Ore Geology Reviews, Nature Communications, Journal of Advanced Transportation, International Journal for Equity in Health and Advanced Functional Materials.
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.