Jinyuan Jia
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Building and Construction top 10%
- Topics
- Computer Graphics and Visualization Techniques (20 papers)3D Shape Modeling and Analysis (15 papers)Advanced Vision and Imaging (10 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinyuan Jia
71 papers receiving 714 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 344
- Computer Vision and Pattern Recognition 142
- Computer Networks and Communications 139
- Information Systems 131
- Building and Construction 79
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 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 57 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | Smart Fire Evacuation Service Based on Internet of Things Computing for Web3D | 16 |
| 11 | 18 | |
| 12 | AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning | 21 |
| 13 | 4 | |
| 14 | 5 | |
| 15 | Forming mechanism of gaseous defect in Ti-48Al-2Cr-2Nb exhaust valves formed with permanent mold centrifugal casting method | 0 |
| 16 | Research on the Ti-48Al-2Cr-2Nb automobile exhaust valve formed in permanent mold during centrifugal casting process | 9 |
| 17 | 8 | |
| 18 | 1 | |
| 19 | ANTIMONY GRAIN BOUNDARY SEGREGATION AND ITS SUPPRESSION BY CERIUM IN Fe—2%Mn—Sb STRUCTURAL STEELS | 4 |
| 20 | 8 |
About Jinyuan Jia
Jinyuan Jia is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 79 papers that have together received 734 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (20 papers), 3D Shape Modeling and Analysis (15 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Artificial Intelligence (344 citations) and Geology (53 citations). Jinyuan Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Neil Zhenqiang Gong, Binghui Wang, Zaixi Zhang, Xiaoyu Cao, Ning Xie, Kai Tang, Xiaoyu Cao, Xiaojun Liu, Le Zhang and Qinghua Guo. Their work appears in journals such as IEEE Access, Electronics Letters and IEEE Transactions on Visualization and Computer Graphics.
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.