Ruizhi Cheng
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Topics
- Image and Video Quality Assessment (6 papers)Visual Attention and Saliency Detection (4 papers)Virtual Reality Applications and Impacts (4 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Communications MagazineIEEE NetworkProceedings of the ACM on Measurement and Analysis of Computing Systems
- Partner nations
- United States
In The Last Decade
Ruizhi Cheng
13 papers receiving 319 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 149
- Computer Vision and Pattern Recognition 117
- Information Systems 73
- Computer Networks and Communications 72
- Artificial Intelligence 39
Countries citing papers authored by Ruizhi Cheng
This map shows the geographic impact of Ruizhi 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 Ruizhi Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruizhi Cheng more than expected).
Fields of papers citing papers by Ruizhi Cheng
This network shows the impact of papers produced by Ruizhi 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 Ruizhi Cheng. The network helps show where Ruizhi Cheng may publish in the future.
Co-authorship network of co-authors of Ruizhi Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhi Cheng. A scholar is included among the top collaborators of Ruizhi 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 Ruizhi Cheng. Ruizhi 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 27 | |
| 12 | 4 | |
| 13 | Will Metaverse Be NextG Internet? Vision, Hype, and Realitybreakdown → | 157 |
| 14 | 3 | |
| 15 | 38 | |
| 16 | 56 |
About Ruizhi Cheng
Ruizhi Cheng is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 16 papers that have together received 333 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (6 papers), Visual Attention and Saliency Detection (4 papers) and Virtual Reality Applications and Impacts (4 papers). The work is most often cited by research in Human-Computer Interaction (149 citations), Computer Vision and Pattern Recognition (117 citations) and Computer Graphics and Computer-Aided Design (16 citations). Ruizhi Cheng has collaborated with scholars based in United States. Frequent co-authors include Bo Han, Songqing Chen, Nan Wu, Matteo Varvello, Nan Wu, Eugene Chai, Yue Cheng, Hugo Latapie, Ashish Kundu and Yonghui Wu. Their work appears in journals such as IEEE Communications Magazine, IEEE Network and Proceedings of the ACM on Measurement and Analysis of Computing Systems.
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.