Yaran Chen
- Computational Mathematics top 10%
-
- Advanced Neural Network Applications 25
- Video Surveillance and Tracking Methods 7
- Advanced Image and Video Retrieval Techniques 5
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 5
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 8
- Reinforcement Learning in Robotics 7
- Machine Learning and ELM 3
- Media Technology top 5%
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- Advanced Memory and Neural Computing 5
- Co-authors
- Dongbin ZhaoQichao ZhangLe LvZixiang DingDong LiJunjie WangNannan LiHaoran Li
- Journals
- IEEE Transactions on Cognitive and Developmental Systems (4 papers)IEEE Transactions on Cybernetics (3 papers)IEEE Transactions on Systems Man and Cybernetics Systems (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yaran Chen
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Computational Mathematics 15
- Computer Vision and Pattern Recognition 498
- Automotive Engineering 252
- Artificial Intelligence 401
- Media Technology 78
Countries citing papers authored by Yaran Chen
This map shows the geographic impact of Yaran Chen'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 Yaran Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaran Chen more than expected).
Fields of papers citing papers by Yaran Chen
This network shows the impact of papers produced by Yaran Chen. 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 Yaran Chen. The network helps show where Yaran Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaran Chen, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 26 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 56 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 3 | |
| 18 | 2018 | 6 | |
| 19 | 2018 | 8 | |
| 20 | 2014 | 21 |
About Yaran Chen
Yaran Chen is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (25 papers), Domain Adaptation and Few-Shot Learning (8 papers), Reinforcement Learning in Robotics (7 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Memory and Neural Computing (5 papers), Autonomous Vehicle Technology and Safety (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Computational Mathematics (15 citations), Computer Vision and Pattern Recognition (498 citations) and Automotive Engineering (252 citations). Yaran Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dongbin Zhao, Qichao Zhang, Le Lv, Zixiang Ding, Dong Li, Junjie Wang, Nannan Li, Haoran Li, Yi Lu and Jin Guo. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Neural Networks and Learning Systems 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.