Junyu Gao
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Media Technology top 0.5%
- Remote-Sensing Image Classification
Papers in
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- Video Surveillance and Tracking Methods 28
- Advanced Neural Network Applications 15
- Human Pose and Action Recognition 11
- Advanced Image and Video Retrieval Techniques 9
- Handwritten Text Recognition Techniques 7
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- Remote-Sensing Image Classification 17
- Co-authors
- Qi Wang (37 shared papers)Xuelong Li (24 shared papers)Yuan Yuan (11 shared papers)Wenbin Lin (6 shared papers)Yuan Yuan (9 shared papers)Tao Han (6 shared papers)Yuan Yuan (13 shared papers)Maoguo Gong (3 shared papers)
In The Last Decade
Junyu Gao
89 papers receiving 3.1k citations
Junyu Gao's Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 2.2k
- Media Technology 502
- Safety, Risk, Reliability and Quality 401
- Artificial Intelligence 1.4k
- Transportation 209
Countries citing papers authored by Junyu Gao
This map shows the geographic impact of Junyu Gao'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 Junyu Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Gao more than expected).
Fields of papers citing papers by Junyu Gao
This network shows the impact of papers produced by Junyu Gao. 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 Junyu Gao. The network helps show where Junyu Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu Gao, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning From Synthetic Data for Crowd Counting in the Wild Hit paper breakdown → | 2019 | 441 |
| 2 | NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization Hit paper breakdown → | 2020 | 355 |
| 3 | 2019 | 230 | |
| 4 | 2017 | 215 | |
| 5 | 2019 | 197 | |
| 6 | 2019 | 171 | |
| 7 | 2017 | 140 | |
| 8 | 2020 | 107 | |
| 9 | 2020 | 84 | |
| 10 | 2020 | 71 | |
| 11 | 2021 | 70 | |
| 12 | 2021 | 56 | |
| 13 | 2015 | 55 | |
| 14 | 2017 | 52 | |
| 15 | 2020 | 46 | |
| 16 | 2019 | 43 | |
| 17 | 2022 | 43 | |
| 18 | 2024 | 41 | |
| 19 | 2021 | 40 | |
| 20 | 2016 | 36 |
About Junyu Gao
Junyu Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Ocean Engineering and Environmental Engineering, having authored 93 papers that have together received 3.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (28 papers), Anomaly Detection Techniques and Applications (27 papers), Remote-Sensing Image Classification (17 papers), Advanced Neural Network Applications (15 papers), Human Pose and Action Recognition (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Handwritten Text Recognition Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Media Technology (502 citations), Safety, Risk, Reliability and Quality (401 citations), Artificial Intelligence (1.4k citations) and Transportation (209 citations). Junyu Gao has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Qi Wang, Xuelong Li, Yuan Yuan, Wenbin Lin, Yuan Yuan, Tao Han, Yuan Yuan, Maoguo Gong, Zequn Qin and Yanyan Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Image Processing and Neurocomputing.
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.