Haiyang Wang
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Topics
- Caching and Content Delivery (42 papers)Service-Oriented Architecture and Web Services (35 papers)Peer-to-Peer Network Technologies (29 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Haiyang Wang
143 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Computer Networks and Communications 949
- Information Systems 634
- Artificial Intelligence 353
- Computer Vision and Pattern Recognition 350
- Electrical and Electronic Engineering 163
Countries citing papers authored by Haiyang Wang
This map shows the geographic impact of Haiyang Wang'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 Haiyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Wang more than expected).
Fields of papers citing papers by Haiyang Wang
This network shows the impact of papers produced by Haiyang Wang. 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 Haiyang Wang. The network helps show where Haiyang Wang may publish in the future.
Co-authorship network of co-authors of Haiyang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Wang. A scholar is included among the top collaborators of Haiyang Wang 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 Haiyang Wang. Haiyang Wang 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 38 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 20 | |
| 17 | An Approach to Weaving Stateful Aspects using LTS | 0 |
| 18 | Adaptive Workflow Scheduling Algorithm in Transaction-intensive Environment | 2 |
| 19 | On the locality of BitTorrent-based video file swarming | 20 |
| 20 | Acquiring users' requirements based on process semantic database under smart process application model | 6 |
About Haiyang Wang
Haiyang Wang is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems, having authored 155 papers that have together received 1.6k indexed citations. Recurring topics across this work include Caching and Content Delivery (42 papers), Service-Oriented Architecture and Web Services (35 papers) and Peer-to-Peer Network Technologies (29 papers). The work is most often cited by research in Computer Networks and Communications (949 citations), Information Systems (634 citations) and Computer Vision and Pattern Recognition (350 citations). Haiyang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiangchuan Liu, Lizhen Cui, Ke Xu, Meng Xu, Ryan Shea, Yaohui Jin, Long-yuan Li, Junchi Yan, Feng Wang and Tong Li. Their work appears in journals such as Expert Systems with Applications, IEEE Journal on Selected Areas in Communications and Sensors.
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.