En Fan
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 13
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- Video Surveillance and Tracking Methods 7
- Image Enhancement Techniques 4
- Co-authors
- Pin Wang (4 shared papers)Peng Wang (2 shared papers)Shigen Shen (8 shared papers)Keli Hu (14 shared papers)Longjun Huang (3 shared papers)Qiying Cao (3 shared papers)Jun Ye (7 shared papers)Shui Yu (2 shared papers)
In The Last Decade
En Fan
39 papers receiving 990 citations
En Fan's Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 239
- Media Technology 88
- Artificial Intelligence 274
- Signal Processing 72
- Computer Networks and Communications 149
Countries citing papers authored by En Fan
This map shows the geographic impact of En Fan'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 En Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites En Fan more than expected).
Fields of papers citing papers by En Fan
This network shows the impact of papers produced by En Fan. 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 En Fan. The network helps show where En Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside En Fan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative analysis of image classification algorithms based on traditional machine learning and deep learning Hit paper breakdown → | 2020 | 541 |
| 2 | 2018 | 100 | |
| 3 | 2017 | 69 | |
| 4 | 2020 | 45 | |
| 5 | 2024 | 36 | |
| 6 | 2017 | 30 | |
| 7 | 2016 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2018 | 19 | |
| 10 | 2019 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2025 | 5 |
About En Fan
En Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Multi-Criteria Decision Making (7 papers), Video Surveillance and Tracking Methods (7 papers), Maritime Navigation and Safety (5 papers), Advanced Measurement and Detection Methods (5 papers), Remote-Sensing Image Classification (4 papers), Image Enhancement Techniques (4 papers) and Optimization and Mathematical Programming (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (239 citations), Media Technology (88 citations), Artificial Intelligence (274 citations), Signal Processing (72 citations) and Computer Networks and Communications (149 citations). En Fan has collaborated with scholars based in China, Slovenia and Australia. Frequent co-authors include Pin Wang, Peng Wang, Shigen Shen, Keli Hu, Longjun Huang, Qiying Cao, Jun Ye, Shui Yu, Haiping Zhou and Jian Hua Liu. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Pattern Recognition Letters, IEEE Transactions on Fuzzy Systems and Scientific Reports.
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.