Junyang Yu
Impact in
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
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- Cloud Computing and Resource Management 18
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- Video Surveillance and Tracking Methods 6
- Advanced Neural Network Applications 4
- Co-authors
- Zhou Zhou (5 shared papers)Zhigang Hu (5 shared papers)Xin He (19 shared papers)Fangmin Li (2 shared papers)Jinjiang Wang (3 shared papers)Huanlong Zhang (4 shared papers)Guanghui Wang (5 shared papers)Morshed Uddin Chowdhury (1 shared paper)
In The Last Decade
Junyang Yu
53 papers receiving 370 citations
Peers
Comparison fields: 5 of 40
- Information Systems 208
- Computer Vision and Pattern Recognition 67
- Artificial Intelligence 59
- Computer Networks and Communications 37
- Computational Mathematics 1
Countries citing papers authored by Junyang Yu
This map shows the geographic impact of Junyang Yu'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 Junyang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyang Yu more than expected).
Fields of papers citing papers by Junyang Yu
This network shows the impact of papers produced by Junyang Yu. 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 Junyang Yu. The network helps show where Junyang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyang Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 53 | |
| 2 | 2018 | 51 | |
| 3 | 2022 | 32 | |
| 4 | 2017 | 25 | |
| 5 | 2018 | 24 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 5 |
About Junyang Yu
Junyang Yu is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Building and Construction, having authored 63 papers that have together received 386 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (18 papers), Video Surveillance and Tracking Methods (6 papers), Privacy-Preserving Technologies in Data (6 papers), Advanced Neural Network Applications (4 papers), Traffic Prediction and Management Techniques (3 papers), Advanced Clustering Algorithms Research (2 papers), Topic Modeling (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Information Systems (208 citations), Computer Vision and Pattern Recognition (67 citations), Artificial Intelligence (59 citations), Computer Networks and Communications (37 citations) and Computational Mathematics (1 citation). Junyang Yu has collaborated with scholars based in China and Australia. Frequent co-authors include Zhou Zhou, Zhigang Hu, Xin He, Fangmin Li, Jinjiang Wang, Huanlong Zhang, Guanghui Wang, Morshed Uddin Chowdhury, Jemal Abawajy and Zhou Zhou. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Multimedia Systems, Digital Signal Processing, PeerJ Computer Science and Image and Vision Computing.
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.