Jiyun Li
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Mechanical Engineering
- Information Systems
- Ocean Engineering top 10%
- Topics
- Tribology and Lubrication Engineering (8 papers)Gear and Bearing Dynamics Analysis (7 papers)AI in cancer detection (6 papers)
In The Last Decade
Jiyun Li
51 papers receiving 317 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 52
- Mechanical Engineering 52
- Information Systems 44
- Ocean Engineering 43
Countries citing papers authored by Jiyun Li
This map shows the geographic impact of Jiyun Li'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 Jiyun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyun Li more than expected).
Fields of papers citing papers by Jiyun Li
This network shows the impact of papers produced by Jiyun Li. 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 Jiyun Li. The network helps show where Jiyun Li may publish in the future.
Co-authorship network of co-authors of Jiyun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jiyun Li. A scholar is included among the top collaborators of Jiyun Li 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 Jiyun Li. Jiyun Li 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | Structural parameter optimization of spiral groove dry gas seal under low or medium pressure | 4 |
| 12 | Thermo-Elasto-Hydrostatic Effect Analysis of a Double Tapered Hydrostatic Mechanical Seal in Reactor Coolant Pumps | 0 |
| 13 | 4 | |
| 14 | 10 | |
| 15 | The Application of Decision Field Theory in Clothing Style Evaluation | 4 |
| 16 | Unattended Packages Recognition Based on HMM | 0 |
| 17 | Study on Static Performance of a Gas-Lubricated Laser Surface Textured Mechanical Seal | 2 |
| 18 | A Method of Developing Program of Image Acquisition and Laser Alignment Extraction Based on OPENCV | 0 |
| 19 | Static Analysis of a Spiral-Groove Dry Gas Seal with an Inner Annular Groove | 3 |
| 20 | Effect of Face Asperity Geometry on Performance of a Liquid Lubricated Face Seal | 9 |
About Jiyun Li
Jiyun Li is a scholar working on Computational Mathematics, Health Informatics and Artificial Intelligence, having authored 59 papers that have together received 326 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (8 papers), Gear and Bearing Dynamics Analysis (7 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Computational Mathematics (6 citations), Ocean Engineering (43 citations) and Artificial Intelligence (89 citations). Jiyun Li has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Zheping Yan, Yi Wu, Li Sun, Shaoxian Bai, Xudong Peng, Sheng Li, Xiangkai Meng, Yilei Li, Fuhai Li and Jiaxun Chen. Their work appears in journals such as Construction and Building Materials, Expert Systems with Applications and IEEE Access.
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.