Junfeng Li
Impact in
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- Industrial Vision Systems and Defect Detection
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- Advanced Neural Network Applications
Papers in
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- Advanced Neural Network Applications 12
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- Industrial Vision Systems and Defect Detection 20
- Co-authors
- Wen‐Yong Lai (12 shared papers)Qi Qi (7 shared papers)Wei Huang (6 shared papers)Fanghua Jiang (5 shared papers)Chenglong Yang (2 shared papers)Hexi Baoyin (5 shared papers)Xiaoyan Luo (1 shared paper)Ying Chen (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (4 papers)Electronics (3 papers)IEEE Access (3 papers)Engineering Applications of Artificial Intelligence (3 papers)Journal of Guidance Control and Dynamics (2 papers)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Junfeng Li
61 papers receiving 735 citations
Peers
Comparison fields: 5 of 88
- Industrial and Manufacturing Engineering 150
- Computer Vision and Pattern Recognition 138
- Materials Chemistry 276
- Organic Chemistry 149
- Astronomy and Astrophysics 83
Countries citing papers authored by Junfeng Li
This map shows the geographic impact of Junfeng Li'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 Junfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Li more than expected).
Fields of papers citing papers by Junfeng Li
This network shows the impact of papers produced by Junfeng Li. 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 Junfeng Li. The network helps show where Junfeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Li, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2018 | 41 | |
| 3 | 2021 | 36 | |
| 4 | 2017 | 36 | |
| 5 | 2022 | 33 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 30 | |
| 8 | 2022 | 25 | |
| 9 | 2017 | 25 | |
| 10 | 2008 | 21 | |
| 11 | 2024 | 18 | |
| 12 | 2007 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2009 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2011 | 15 |
About Junfeng Li
Junfeng Li is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Aerospace Engineering, Materials Chemistry and Astronomy and Astrophysics, having authored 74 papers that have together received 747 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (20 papers), Advanced Neural Network Applications (12 papers), Spacecraft Dynamics and Control (10 papers), Luminescence and Fluorescent Materials (10 papers), Astro and Planetary Science (9 papers), Space Satellite Systems and Control (8 papers), Synthesis and Properties of Aromatic Compounds (5 papers) and Surface Roughness and Optical Measurements (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (150 citations), Computer Vision and Pattern Recognition (138 citations), Materials Chemistry (276 citations), Organic Chemistry (149 citations) and Astronomy and Astrophysics (83 citations). Junfeng Li has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Wen‐Yong Lai, Qi Qi, Wei Huang, Fanghua Jiang, Chenglong Yang, Hexi Baoyin, Xiaoyan Luo, Ying Chen, Shengping Gong and Hao Wang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Electronics, IEEE Access, Engineering Applications of Artificial Intelligence and Journal of Guidance Control and Dynamics.
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.