Hao Yin
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Topics
- Caching and Content Delivery (49 papers)Peer-to-Peer Network Technologies (45 papers)Image and Video Quality Assessment (17 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hao Yin
137 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 1.4k
- Electrical and Electronic Engineering 485
- Computer Vision and Pattern Recognition 452
- Artificial Intelligence 419
- Information Systems 390
Countries citing papers authored by Hao Yin
This map shows the geographic impact of Hao Yin'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 Hao Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yin more than expected).
Fields of papers citing papers by Hao Yin
This network shows the impact of papers produced by Hao Yin. 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 Hao Yin. The network helps show where Hao Yin may publish in the future.
Co-authorship network of co-authors of Hao Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yin. A scholar is included among the top collaborators of Hao Yin 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 Hao Yin. Hao Yin 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 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 140 | |
| 9 | 19 | |
| 10 | 14 | |
| 11 | 86 | |
| 12 | 16 | |
| 13 | Key Factors Affecting User Experience of Mobile Crowdsourcing Applications | 4 |
| 14 | Multi-Agent genetic algorithm for PID governor | 0 |
| 15 | Effects of significant factors on signalized intersection crash frequency | 1 |
| 16 | 7 | |
| 17 | 2 | |
| 18 | Network traffic prediction based on a new time series model: Research Articles | 3 |
| 19 | Classified Elastic Matching Face Recognition Algorithm Used in Large Database | 0 |
| 20 | 1 |
About Hao Yin
Hao Yin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 144 papers that have together received 2.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (49 papers), Peer-to-Peer Network Technologies (45 papers) and Image and Video Quality Assessment (17 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Computer Vision and Pattern Recognition (452 citations) and Information Systems (390 citations). Hao Yin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chuang Lin, Geyong Min, Xu Zhang, Bo Li, Sizhe Chen, Anbo Meng, Yulei Wu, Haojun Huang, Xuening Liu and Yucheng Chen. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Communications.
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.