Yongcheng Jing
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Media Technology top 5%
- Cognitive Neuroscience
- Topics
- Generative Adversarial Networks and Image Synthesis (6 papers)Image Enhancement Techniques (4 papers)Graph Theory and Algorithms (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yongcheng Jing
15 papers receiving 836 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 670
- Artificial Intelligence 180
- Computer Graphics and Computer-Aided Design 126
- Media Technology 66
- Cognitive Neuroscience 61
Countries citing papers authored by Yongcheng Jing
This map shows the geographic impact of Yongcheng Jing'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 Yongcheng Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongcheng Jing more than expected).
Fields of papers citing papers by Yongcheng Jing
This network shows the impact of papers produced by Yongcheng Jing. 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 Yongcheng Jing. The network helps show where Yongcheng Jing may publish in the future.
Co-authorship network of co-authors of Yongcheng Jing
This figure shows the co-authorship network connecting the top 25 collaborators of Yongcheng Jing. A scholar is included among the top collaborators of Yongcheng Jing 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 Yongcheng Jing. Yongcheng Jing 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 | 7 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | 32 | |
| 6 | 65 | |
| 7 | 26 | |
| 8 | 120 | |
| 9 | 14 | |
| 10 | 9 | |
| 11 | Neural Style Transfer: A Reviewbreakdown → | 457 |
| 12 | 24 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 61 | |
| 16 | 1 |
About Yongcheng Jing
Yongcheng Jing is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 859 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Image Enhancement Techniques (4 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (126 citations), Computer Vision and Pattern Recognition (670 citations) and Media Technology (66 citations). Yongcheng Jing has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mingli Song, Zunlei Feng, Yezhou Yang, Jingwen Ye, Yizhou Yu, Xinchao Wang, Yiding Yang, Dacheng Tao, Errui Ding and Yukang Ding. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.