Juyang Weng
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 1%
- Aerospace Engineering top 1%
- Media Technology top 0.2%
- Cognitive Neuroscience top 2%
- Co-authors
- D.L. SwetsPaul R. CohenNarendra AhujaThomas S. HuangYilu ZhangWey-Shiuan HwangMatthew LuciwIda J. Stockman
- Topics
- Neural dynamics and brain function (52 papers)Neural Networks and Applications (29 papers)Reinforcement Learning in Robotics (28 papers)
- Journals
- ScienceIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial Electronics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Juyang Weng
173 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 4.0k
- Artificial Intelligence 1.3k
- Aerospace Engineering 980
- Media Technology 892
- Cognitive Neuroscience 810
Countries citing papers authored by Juyang Weng
This map shows the geographic impact of Juyang Weng'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 Juyang Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juyang Weng more than expected).
Fields of papers citing papers by Juyang Weng
This network shows the impact of papers produced by Juyang Weng. 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 Juyang Weng. The network helps show where Juyang Weng may publish in the future.
Co-authorship network of co-authors of Juyang Weng
This figure shows the co-authorship network connecting the top 25 collaborators of Juyang Weng. A scholar is included among the top collaborators of Juyang Weng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juyang Weng. Juyang Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 16 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 44 | |
| 12 | 7 | |
| 13 | Online-learning and attention-based obstacle avoidance using a range finder | 0 |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 18 | |
| 19 | Shading-based two-view matching | 3 |
| 20 | 115 |
About Juyang Weng
Juyang Weng is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence, having authored 187 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (52 papers), Neural Networks and Applications (29 papers) and Reinforcement Learning in Robotics (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.0k citations), Media Technology (892 citations) and Signal Processing (571 citations). Juyang Weng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include D.L. Swets, Paul R. Cohen, Narendra Ahuja, Thomas S. Huang, Yilu Zhang, Wey-Shiuan Hwang, Matthew Luciw, Ida J. Stockman, Olaf Sporns and Alex Pentland. Their work appears in journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.
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.