Yanjun Wu
Impact in
- Software top 5%
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in ⓘ
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- Cloud Computing and Resource Management 14
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- Security and Verification in Computing 16
- Co-authors
- Libo Zhang (16 shared papers)Tiejian Luo (10 shared papers)Dawei Du (8 shared papers)Longyin Wen (5 shared papers)Libo Zhang (5 shared papers)Jingzheng Wu (18 shared papers)Xianglong Liu (2 shared papers)Kaichun Yao (5 shared papers)
- Journals
- Neurocomputing (2 papers)ACM Transactions on Software Engineering and Methodology (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Transactions on Image Processing (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanjun Wu
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Software 93
- Computer Vision and Pattern Recognition 429
- Signal Processing 212
- Artificial Intelligence 588
- Information Systems 390
Countries citing papers authored by Yanjun Wu
This map shows the geographic impact of Yanjun Wu'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 Yanjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Wu more than expected).
Fields of papers citing papers by Yanjun Wu
This network shows the impact of papers produced by Yanjun Wu. 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 Yanjun Wu. The network helps show where Yanjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun Wu, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 153 | |
| 2 | 2018 | 114 | |
| 3 | 2019 | 80 | |
| 4 | 2021 | 77 | |
| 5 | 2021 | 73 | |
| 6 | 2022 | 68 | |
| 7 | 2018 | 62 | |
| 8 | 2021 | 59 | |
| 9 | 2018 | 55 | |
| 10 | 2023 | 53 | |
| 11 | 2020 | 40 | |
| 12 | 2021 | 33 | |
| 13 | 2016 | 26 | |
| 14 | 2022 | 23 | |
| 15 | 2018 | 23 | |
| 16 | 2024 | 21 | |
| 17 | 2013 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2020 | 14 |
About Yanjun Wu
Yanjun Wu is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Security and Verification in Computing (16 papers), Advanced Malware Detection Techniques (15 papers), Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (12 papers), Advanced Neural Network Applications (11 papers), Parallel Computing and Optimization Techniques (10 papers), Caching and Content Delivery (9 papers) and Distributed and Parallel Computing Systems (9 papers). The work is most often cited by research in Software (93 citations), Computer Vision and Pattern Recognition (429 citations), Signal Processing (212 citations), Artificial Intelligence (588 citations) and Information Systems (390 citations). Yanjun Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Libo Zhang, Tiejian Luo, Dawei Du, Longyin Wen, Libo Zhang, Jingzheng Wu, Xianglong Liu, Kaichun Yao, Fei Zhang and Ruyi Ji. Their work appears in journals such as Neurocomputing, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing and Frontiers in Plant Science.
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.