Jinyuan Jia
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Neil Zhenqiang GongXiaoyu CaoZaixi ZhangShuicheng YanMichael BackesAhmed SalemYupei LiuBinghui Wang
- Topics
- Adversarial Robustness in Machine Learning (15 papers)Computer Graphics and Visualization Techniques (9 papers)Advanced Neural Network Applications (7 papers)
- Cited by
- Artificial IntelligenceComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Jinyuan Jia
43 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 728
- Computer Vision and Pattern Recognition 247
- Computer Networks and Communications 126
- Information Systems 111
- Signal Processing 105
Countries citing papers authored by Jinyuan Jia
This map shows the geographic impact of Jinyuan Jia'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 Jinyuan Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyuan Jia more than expected).
Fields of papers citing papers by Jinyuan Jia
This network shows the impact of papers produced by Jinyuan Jia. 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 Jinyuan Jia. The network helps show where Jinyuan Jia may publish in the future.
Co-authorship network of co-authors of Jinyuan Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Jinyuan Jia. A scholar is included among the top collaborators of Jinyuan Jia 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 Jinyuan Jia. Jinyuan Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 76 | |
| 9 | 74 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 39 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | Design and Realization of HBase Migration Tool | 1 |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Fast active tabu search and its application to image retrieval | 8 |
About Jinyuan Jia
Jinyuan Jia is a scholar working on Computer Graphics and Computer-Aided Design, 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 Adversarial Robustness in Machine Learning (15 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Artificial Intelligence (728 citations), Computer Graphics and Computer-Aided Design (58 citations) and Computer Vision and Pattern Recognition (247 citations). Jinyuan Jia has collaborated with scholars based in China, United States and France. Frequent co-authors include Neil Zhenqiang Gong, Xiaoyu Cao, Zaixi Zhang, Shuicheng Yan, Michael Backes, Ahmed Salem, Yupei Liu, Binghui Wang, Shuang Liang and Hongbin Liu. Their work appears in journals such as ACM Transactions on Graphics, Journal of Theoretical Biology and Sustainability.
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.