Junying Gan
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Digital Media Forensic Detection
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Face and Expression Recognition 42
- Face recognition and analysis 28
- Image and Video Stabilization 6
- Image Retrieval and Classification Techniques 6
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- Biometric Identification and Security 14
- Co-authors
- Yikui Zhai (33 shared papers)Junying Zeng (20 shared papers)Vincenzo Piuri (13 shared papers)Lichen Li (2 shared papers)Yinhua Liu (1 shared paper)Ruggero Donida Labati (10 shared papers)Chengyun Liu (1 shared paper)Fabio Scotti (10 shared papers)
In The Last Decade
Junying Gan
66 papers receiving 505 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 367
- Signal Processing 158
- Experimental and Cognitive Psychology 97
- Media Technology 24
- Marketing 25
Countries citing papers authored by Junying Gan
This map shows the geographic impact of Junying Gan'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 Junying Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junying Gan more than expected).
Fields of papers citing papers by Junying Gan
This network shows the impact of papers produced by Junying Gan. 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 Junying Gan. The network helps show where Junying Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junying Gan, 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 | 2014 | 68 | |
| 2 | 2017 | 53 | |
| 3 | 2018 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2006 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 13 | |
| 13 | A New Approach for Face Recognition Based on Singular Value Features and Neural Networks | 2004 | 12 |
| 14 | 2005 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2009 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2013 | 7 |
About Junying Gan
Junying Gan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 74 papers that have together received 540 indexed citations. Recurring topics across this work include Face and Expression Recognition (42 papers), Face recognition and analysis (28 papers), Biometric Identification and Security (14 papers), Advanced Algorithms and Applications (9 papers), Evolutionary Psychology and Human Behavior (8 papers), Remote Sensing and Land Use (7 papers), Image and Video Stabilization (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Signal Processing (158 citations), Experimental and Cognitive Psychology (97 citations), Media Technology (24 citations) and Marketing (25 citations). Junying Gan has collaborated with scholars based in China and Italy. Frequent co-authors include Yikui Zhai, Junying Zeng, Vincenzo Piuri, Lichen Li, Yinhua Liu, Ruggero Donida Labati, Chengyun Liu, Fabio Scotti, He Cao and Youwei Zhang. Their work appears in journals such as IEEE Access, Computational Intelligence and Neuroscience, Electronics, Neurocomputing 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.