Yu Cheng
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Media Technology top 5%
- Topics
- Advanced Neural Network Applications (7 papers)Radiation Effects in Electronics (6 papers)Electric Vehicles and Infrastructure (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yu Cheng
55 papers receiving 751 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 326
- Artificial Intelligence 201
- Electrical and Electronic Engineering 175
- Biomedical Engineering 105
- Media Technology 99
Countries citing papers authored by Yu Cheng
This map shows the geographic impact of Yu Cheng'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 Yu Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Cheng more than expected).
Fields of papers citing papers by Yu Cheng
This network shows the impact of papers produced by Yu Cheng. 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 Yu Cheng. The network helps show where Yu Cheng may publish in the future.
Co-authorship network of co-authors of Yu Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Cheng. A scholar is included among the top collaborators of Yu Cheng 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 Yu Cheng. Yu Cheng 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 33 | |
| 7 | 35 | |
| 8 | 13 | |
| 9 | 54 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 60 | |
| 13 | 35 | |
| 14 | 31 | |
| 15 | 1 | |
| 16 | Study of 1D Velocity Model in Shandong Area | 1 |
| 17 | Accurate vulnerability estimation for cache hierarchy | 3 |
| 18 | 5 | |
| 19 | A method for ship propeller blade-number recognition based on template matching | 1 |
| 20 | Research on Colluding Premium Price and Collusion Behaviours Regulation in Electricity Market | 2 |
About Yu Cheng
Yu Cheng is a scholar working on Acoustics and Ultrasonics, Energy Engineering and Power Technology and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 783 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Radiation Effects in Electronics (6 papers) and Electric Vehicles and Infrastructure (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Media Technology (99 citations) and Sensory Systems (32 citations). Yu Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chengwei Zhang, Yi Fang, Dehan Luo, Jiansheng Chen, Weitao Wan, Kin-Yeung Wong, Kevin Hung, Youze Xue, Guang Wang and Yiqing Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.