Wei Hong
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Mineralogy and Gemology Studies
Papers in
- Geophysics 17
- Geological and Geochemical Analysis 17
- earthquake and tectonic studies 8
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- Remote Sensing and Land Use 7
- Geology and Paleoclimatology Research 3
- Co-authors
- Lejun Zhang (8 shared papers)David R. Cooke (6 shared papers)N Fox (6 shared papers)J. M. Thompson (4 shared papers)Zuoheng Zhang (3 shared papers)Huayong Chen (2 shared papers)Chun–Kit Lai (2 shared papers)Zongsheng Jiang (2 shared papers)
In The Last Decade
Wei Hong
36 papers receiving 480 citations
Peers
Comparison fields: 5 of 44
- Geophysics 399
- Geochemistry and Petrology 131
- Artificial Intelligence 287
- Paleontology 18
- Atmospheric Science 39
Countries citing papers authored by Wei Hong
This map shows the geographic impact of Wei Hong'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 Wei Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Hong more than expected).
Fields of papers citing papers by Wei Hong
This network shows the impact of papers produced by Wei Hong. 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 Wei Hong. The network helps show where Wei Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Hong, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2013 | 57 | |
| 3 | 2019 | 50 | |
| 4 | 2020 | 46 | |
| 5 | 2019 | 42 | |
| 6 | 2012 | 28 | |
| 7 | 2018 | 25 | |
| 8 | 2017 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 21 | |
| 11 | RESEARCH ADVANCES OF VEGETATION EFFECT ON SOIL AND WATER CONSERVATION IN CHINA | 2002 | 20 |
| 12 | 2017 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2011 | 11 | |
| 15 | 2024 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 4 | |
| 18 | Analysis on pH and Chemical Composition of Rainfall in Jinyun Mountain, Chongqing, China | 2005 | 4 |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Wei Hong
Wei Hong is a scholar working on Geophysics, Atmospheric Science, Artificial Intelligence, Global and Planetary Change and Geochemistry and Petrology, having authored 38 papers that have together received 491 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (17 papers), Geochemistry and Geologic Mapping (12 papers), Environmental Changes in China (10 papers), earthquake and tectonic studies (8 papers), Remote Sensing and Land Use (7 papers), Geochemistry and Elemental Analysis (7 papers), Forest, Soil, and Plant Ecology in China (4 papers) and Geology and Paleoclimatology Research (3 papers). The work is most often cited by research in Geophysics (399 citations), Geochemistry and Petrology (131 citations), Artificial Intelligence (287 citations), Paleontology (18 citations) and Atmospheric Science (39 citations). Wei Hong has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Lejun Zhang, David R. Cooke, N Fox, J. M. Thompson, Zuoheng Zhang, Huayong Chen, Chun–Kit Lai, Zongsheng Jiang, Shigang Duan and Fengming Li. Their work appears in journals such as American Mineralogist, Ore Geology Reviews, Economic Geology, Mineralium Deposita and Environmental 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.