Jun-Hui Bi
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 40
- Geological and Geochemical Analysis 40
- High-pressure geophysics and materials 26
- earthquake and tectonic studies 18
-
- Geochemistry and Geologic Mapping 21
- Co-authors
- Wen‐Chun Ge (40 shared papers)Hao Yang (38 shared papers)Yu Dong (32 shared papers)Zhihui Wang (11 shared papers)Wen‐Liang Xu (9 shared papers)Zheng Ji (27 shared papers)Guochun Zhao (5 shared papers)Yanlong Zhang (8 shared papers)
In The Last Decade
Jun-Hui Bi
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 24
- Geophysics 1.2k
- Geochemistry and Petrology 156
- Geology 136
- Artificial Intelligence 782
- Paleontology 70
Countries citing papers authored by Jun-Hui Bi
This map shows the geographic impact of Jun-Hui Bi'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-Hui Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Hui Bi more than expected).
Fields of papers citing papers by Jun-Hui Bi
This network shows the impact of papers produced by Jun-Hui Bi. 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-Hui Bi. The network helps show where Jun-Hui Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Hui Bi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 97 | |
| 2 | 2015 | 92 | |
| 3 | 2014 | 81 | |
| 4 | 2016 | 80 | |
| 5 | 2017 | 71 | |
| 6 | 2017 | 70 | |
| 7 | 2016 | 58 | |
| 8 | 2016 | 57 | |
| 9 | 2016 | 52 | |
| 10 | 2016 | 51 | |
| 11 | 2015 | 47 | |
| 12 | 2017 | 47 | |
| 13 | 2018 | 42 | |
| 14 | 2019 | 40 | |
| 15 | 2015 | 40 | |
| 16 | 2016 | 40 | |
| 17 | 2019 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 2020 | 29 | |
| 20 | 2020 | 24 |
About Jun-Hui Bi
Jun-Hui Bi is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Geology and Paleontology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (40 papers), High-pressure geophysics and materials (26 papers), Geochemistry and Geologic Mapping (21 papers), earthquake and tectonic studies (18 papers), Geochemistry and Elemental Analysis (7 papers), Geological and Geophysical Studies (4 papers), Paleontology and Stratigraphy of Fossils (2 papers) and Geochemistry and Geochronology of Asian Mineral Deposits (1 paper). The work is most often cited by research in Geophysics (1.2k citations), Geochemistry and Petrology (156 citations), Geology (136 citations), Artificial Intelligence (782 citations) and Paleontology (70 citations). Jun-Hui Bi has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Wen‐Chun Ge, Hao Yang, Yu Dong, Zhihui Wang, Wen‐Liang Xu, Zheng Ji, Guochun Zhao, Yanlong Zhang, De-Xin Tian and Xiwen Liu. Their work appears in journals such as Lithos, Journal of Asian Earth Sciences, International Geology Review, Gondwana Research and Precambrian Research.
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.