Lejun Zhang
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 2%
- Geochemistry and Elemental Analysis
- Mineralogy and Gemology Studies
Papers in
-
- Geochemistry and Geologic Mapping 71
- Geophysics 76
- Geological and Geochemical Analysis 76
- earthquake and tectonic studies 41
- High-pressure geophysics and materials 8
- Co-authors
- David R. Cooke (27 shared papers)Yu Fan (29 shared papers)Taofa Zhou (25 shared papers)Noel C. White (23 shared papers)Wei Hong (8 shared papers)Feng Yuan (7 shared papers)Xin Xiao (8 shared papers)J. M. Thompson (6 shared papers)
In The Last Decade
Lejun Zhang
115 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Geophysics 1.7k
- Geochemistry and Petrology 362
- Artificial Intelligence 1.5k
- Media Technology 82
- Geology 36
Countries citing papers authored by Lejun Zhang
This map shows the geographic impact of Lejun 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 Lejun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lejun Zhang more than expected).
Fields of papers citing papers by Lejun Zhang
This network shows the impact of papers produced by Lejun 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 Lejun Zhang. The network helps show where Lejun Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lejun 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2018 | 82 | |
| 3 | 2009 | 79 | |
| 4 | 2020 | 74 | |
| 5 | 2017 | 67 | |
| 6 | 2011 | 61 | |
| 7 | 2014 | 58 | |
| 8 | 2016 | 56 | |
| 9 | 2020 | 55 | |
| 10 | 2017 | 51 | |
| 11 | 2019 | 50 | |
| 12 | 2019 | 47 | |
| 13 | 2020 | 46 | |
| 14 | Temporal-spatial framework of magmatic intrusions in Luzong volcanic basin in East China and their constrain to mineralizations | 2010 | 45 |
| 15 | 2018 | 44 | |
| 16 | 2016 | 43 | |
| 17 | 2019 | 42 | |
| 18 | 2012 | 41 | |
| 19 | 2021 | 40 | |
| 20 | 2019 | 40 |
About Lejun Zhang
Lejun Zhang is a scholar working on Artificial Intelligence, Geophysics, Geochemistry and Petrology, Economics and Econometrics and Mechanics of Materials, having authored 121 papers that have together received 2.1k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (76 papers), Geochemistry and Geologic Mapping (71 papers), earthquake and tectonic studies (41 papers), Geochemistry and Geochronology of Asian Mineral Deposits (13 papers), Geochemistry and Elemental Analysis (12 papers), Hydrocarbon exploration and reservoir analysis (11 papers), High-pressure geophysics and materials (8 papers) and Geological and Geophysical Studies (4 papers). The work is most often cited by research in Geophysics (1.7k citations), Geochemistry and Petrology (362 citations), Artificial Intelligence (1.5k citations), Media Technology (82 citations) and Geology (36 citations). Lejun Zhang has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include David R. Cooke, Yu Fan, Taofa Zhou, Noel C. White, Wei Hong, Feng Yuan, Xin Xiao, J. M. Thompson, N Fox and Xuefeng Chen. Their work appears in journals such as Ore Geology Reviews, Economic Geology, American Mineralogist, Mineralium Deposita and Journal of Asian Earth 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.