Jianjiang Feng
- Signal Processing top 0.1%
- Biometric Identification and Security 64
-
- Face recognition and analysis 30
- Advanced Image and Video Retrieval Techniques 18
- Face and Expression Recognition 17
- Digital Media Forensic Detection 14
- Video Surveillance and Tracking Methods 12
- Safety Research top 0.2%
- Forensic Fingerprint Detection Methods 34
- Information Systems top 1%
- Media Technology top 2%
-
- Forensic and Genetic Research 15
Jianjiang Feng
119 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 139
- Signal Processing 2.4k
- Computer Vision and Pattern Recognition 2.7k
- Safety Research 941
- Information Systems 563
- Media Technology 195
Countries citing papers authored by Jianjiang Feng
This map shows the geographic impact of Jianjiang Feng'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 Jianjiang Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjiang Feng more than expected).
Fields of papers citing papers by Jianjiang Feng
This network shows the impact of papers produced by Jianjiang Feng. 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 Jianjiang Feng. The network helps show where Jianjiang Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianjiang Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 15 | |
| 20 | 2016 | 43 |
About Jianjiang Feng
Jianjiang Feng is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Safety Research, Human-Computer Interaction and Genetics, having authored 129 papers that have together received 4.0k indexed citations. Recurring topics across this work include Biometric Identification and Security (64 papers), Forensic Fingerprint Detection Methods (34 papers), Face recognition and analysis (30 papers), Advanced Image and Video Retrieval Techniques (18 papers), Face and Expression Recognition (17 papers), Forensic and Genetic Research (15 papers), Digital Media Forensic Detection (14 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Signal Processing (2.4k citations), Computer Vision and Pattern Recognition (2.7k citations), Safety Research (941 citations), Information Systems (563 citations) and Media Technology (195 citations). Jianjiang Feng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jie Zhou, Anil K. Jain, Jiwen Lu, Anil Jain, Yueqi Duan, Soweon Yoon, Hu Han, Zhouchen Lin, Karthik Nandakumar and Hao Liu. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Pattern Recognition and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.