Yong Dou
Impact in
-
- Advanced Neural Network Applications
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 39
- Embedded Systems Design Techniques 20
-
- Advanced Neural Network Applications 35
- Face and Expression Recognition 23
- Advanced Image and Video Retrieval Techniques 22
- Video Surveillance and Tracking Methods 18
Yong Dou
235 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 1.3k
- Hardware and Architecture 357
- Media Technology 366
- Artificial Intelligence 978
- Computational Mathematics 17
Countries citing papers authored by Yong Dou
This map shows the geographic impact of Yong Dou'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 Yong Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Dou more than expected).
Fields of papers citing papers by Yong Dou
This network shows the impact of papers produced by Yong Dou. 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 Yong Dou. The network helps show where Yong Dou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yong Dou, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 31 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 59 | |
| 18 | 2017 | 10 | |
| 19 | 2015 | 103 | |
| 20 | Mulberry-base-fishpond,the Typical Model of Sericultural Circular Economy in Southern China | 2010 | 1 |
About Yong Dou
Yong Dou is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computational Mathematics, Artificial Intelligence and Signal Processing, having authored 264 papers that have together received 2.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (39 papers), Advanced Neural Network Applications (35 papers), Face and Expression Recognition (23 papers), Advanced Image and Video Retrieval Techniques (22 papers), Embedded Systems Design Techniques (20 papers), Interconnection Networks and Systems (19 papers), Video Surveillance and Tracking Methods (18 papers) and Machine Learning and ELM (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Hardware and Architecture (357 citations), Media Technology (366 citations), Artificial Intelligence (978 citations) and Computational Mathematics (17 citations). Yong Dou has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Xinwang Liu, Qi Lv, Fei Xia, Ke Yang, Yueqing Wang, Yuanwu Lei, Jingfei Jiang, Jianping Yin, En Zhu and Rongchun Li. Their work appears in journals such as Neurocomputing, IEEE Access, Computational Intelligence and Neuroscience, Scientific Reports and IEEE Geoscience and Remote Sensing Letters.
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.