Mengjun Li
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Edible Oils Quality and Analysis 2
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- Advanced Neural Network Applications 2
- Co-authors
- Yao Li (2 shared papers)Yongjun Li (3 shared papers)Xiuzhu Yu (5 shared papers)Shasha Li (3 shared papers)Lirong Xu (3 shared papers)Xingguo Wang (1 shared paper)Jia Chen (1 shared paper)Huiying Liu (1 shared paper)
- Journals
- International Journal of Food Properties (2 papers)Chemical Communications (1 paper)Journal of Central South University (1 paper)Knowledge-Based Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Mengjun Li
20 papers receiving 569 citations
Mengjun Li's Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 131
- Biochemistry 36
- Organic Chemistry 157
- Media Technology 42
- Animal Science and Zoology 48
Countries citing papers authored by Mengjun Li
This map shows the geographic impact of Mengjun 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 Mengjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengjun Li more than expected).
Fields of papers citing papers by Mengjun Li
This network shows the impact of papers produced by Mengjun 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 Mengjun Li. The network helps show where Mengjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengjun 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | YOLO-FIRI: Improved YOLOv5 for Infrared Image Object Detection Hit paper breakdown → | 2021 | 197 |
| 2 | 2017 | 162 | |
| 3 | 2013 | 89 | |
| 4 | 2022 | 45 | |
| 5 | 2014 | 39 | |
| 6 | 2018 | 18 | |
| 7 | 2016 | 16 | |
| 8 | 2021 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2006 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2013 | 2 | |
| 17 | A Support Vector Machine Based Evaluation Method for Cigarettes Quality | 2006 | 1 |
| 18 | Composition analysis of HMW-GS in Australian wheat cultivars. | 2011 | 1 |
| 19 | 2024 | 1 | |
| 20 | 2014 | 1 |
About Mengjun Li
Mengjun Li is a scholar working on Organic Chemistry, Computer Vision and Pattern Recognition, Management Science and Operations Research, Aerospace Engineering and Biomedical Engineering, having authored 21 papers that have together received 596 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Game Theory and Applications (2 papers), Military Defense Systems Analysis (2 papers), Advanced Neural Network Applications (2 papers), Remote-Sensing Image Classification (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Edible Oils Quality and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Biochemistry (36 citations), Organic Chemistry (157 citations), Media Technology (42 citations) and Animal Science and Zoology (48 citations). Mengjun Li has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Yao Li, Yongjun Li, Xiuzhu Yu, Shasha Li, Lirong Xu, Xingguo Wang, Jia Chen, Huiying Liu, Jie Ke and Chuan He. Their work appears in journals such as International Journal of Food Properties, Chemical Communications, Journal of Central South University, Knowledge-Based Systems and IEEE Access.
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.