Zhi Jun
Impact in
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- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
Papers in
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- Advanced Measurement and Detection Methods 6
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- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 3
- Video Surveillance and Tracking Methods 3
- Co-authors
- Tao Gao (4 shared papers)Genxi Li (2 shared papers)Jianyong Liu (4 shared papers)Jie Yang (3 shared papers)Yang Xiang (3 shared papers)Jinlong Li (1 shared paper)Chang‐Zhi Wu (3 shared papers)Bei Wang (1 shared paper)
- Journals
- Advanced materials research (9 papers)Biosensors and Bioelectronics (1 paper)Analytical Chemistry (1 paper)RSC Advances (1 paper)Industrial & Engineering Chemistry Research (1 paper)
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Zhi Jun
39 papers receiving 359 citations
Peers
Comparison fields: 5 of 96
- Geophysics 60
- Geochemistry and Petrology 18
- Artificial Intelligence 99
- Biomedical Engineering 79
- Molecular Biology 120
Countries citing papers authored by Zhi Jun
This map shows the geographic impact of Zhi Jun'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 Zhi Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Jun more than expected).
Fields of papers citing papers by Zhi Jun
This network shows the impact of papers produced by Zhi Jun. 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 Zhi Jun. The network helps show where Zhi Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhi Jun, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 67 | |
| 2 | 2013 | 54 | |
| 3 | 2016 | 42 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 30 | |
| 6 | 2023 | 23 | |
| 7 | 2021 | 17 | |
| 8 | 2010 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2010 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2011 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2009 | 6 | |
| 15 | 2010 | 5 | |
| 16 | 2012 | 5 | |
| 17 | 2010 | 4 | |
| 18 | 2010 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2025 | 3 |
About Zhi Jun
Zhi Jun is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Control and Systems Engineering and Aerospace Engineering, having authored 43 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Measurement and Detection Methods (6 papers), Advanced Vision and Imaging (5 papers), Advanced Decision-Making Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Geological and Geochemical Analysis (3 papers), Advanced Algorithms and Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Geophysics (60 citations), Geochemistry and Petrology (18 citations), Artificial Intelligence (99 citations), Biomedical Engineering (79 citations) and Molecular Biology (120 citations). Zhi Jun has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Tao Gao, Genxi Li, Jianyong Liu, Jie Yang, Yang Xiang, Jinlong Li, Chang‐Zhi Wu, Bei Wang, Zhaoxia Wang and Matthew J. Brzozowski. Their work appears in journals such as Advanced materials research, Biosensors and Bioelectronics, Analytical Chemistry, RSC Advances and Industrial & Engineering Chemistry 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.