Qingyang Wang
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Calton PuDeepal JayasingheJack LiBalaji PalanisamyYasuhiko KanemasaHeiko LudwigSimon MalkowskiPengcheng Xiong
- Topics
- Cloud Computing and Resource Management (51 papers)Software System Performance and Reliability (24 papers)IoT and Edge/Fog Computing (19 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCurrent BiologyScientific Reports
- Partner nations
- United StatesChinaJapan
In The Last Decade
Qingyang Wang
89 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 801
- Information Systems 666
- Artificial Intelligence 252
- Computer Vision and Pattern Recognition 89
- Electrical and Electronic Engineering 86
Countries citing papers authored by Qingyang Wang
This map shows the geographic impact of Qingyang 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 Qingyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyang Wang more than expected).
Fields of papers citing papers by Qingyang Wang
This network shows the impact of papers produced by Qingyang 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 Qingyang Wang. The network helps show where Qingyang Wang may publish in the future.
Co-authorship network of co-authors of Qingyang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Qingyang Wang. A scholar is included among the top collaborators of Qingyang 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 Qingyang Wang. Qingyang 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 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 61 | |
| 17 | 84 | |
| 18 | 22 | |
| 19 | 22 | |
| 20 | 12 |
About Qingyang Wang
Qingyang Wang is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (51 papers), Software System Performance and Reliability (24 papers) and IoT and Edge/Fog Computing (19 papers). The work is most often cited by research in Computer Networks and Communications (801 citations), Information Systems (666 citations) and Artificial Intelligence (252 citations). Qingyang Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Calton Pu, Deepal Jayasinghe, Jack Li, Balaji Palanisamy, Yasuhiko Kanemasa, Heiko Ludwig, Simon Malkowski, Pengcheng Xiong, Hamido Fujita and Ligang Zhou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Current Biology and Scientific Reports.
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.