Jing Shi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Networks and Communications
- Topics
- Multimodal Machine Learning Applications (14 papers)Advanced Image and Video Retrieval Techniques (14 papers)Human Pose and Action Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Shi
37 papers receiving 487 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 268
- Artificial Intelligence 125
- Electrical and Electronic Engineering 125
- Control and Systems Engineering 92
- Computer Networks and Communications 47
Countries citing papers authored by Jing Shi
This map shows the geographic impact of Jing Shi'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 Jing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Shi more than expected).
Fields of papers citing papers by Jing Shi
This network shows the impact of papers produced by Jing Shi. 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 Jing Shi. The network helps show where Jing Shi may publish in the future.
Co-authorship network of co-authors of Jing Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Shi. A scholar is included among the top collaborators of Jing Shi 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 Jing Shi. Jing Shi 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 | 0 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 57 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | Design and Evaluation Image Recognition Sub-tasks to Improve End-to-End Learning Model for Self Driving Cars | 1 |
| 15 | 8 | |
| 16 | 49 | |
| 17 | 29 | |
| 18 | 70 | |
| 19 | 1 | |
| 20 | Graph-Based Automatic Acquisition of Semantic Classes | 1 |
About Jing Shi
Jing Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 43 papers that have together received 500 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (268 citations), Control and Systems Engineering (92 citations) and Artificial Intelligence (125 citations). Jing Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenhuan Wu, Chenliang Xu, Hong Zhu, Chongxin Huang, Chunxia Dou, Shengxuan Weng, Yiwu Zhong, Li Yin, Ning Xu and Qiang Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.