Yanjun Wu
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Malware Detection Techniques 21
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- Cloud Computing and Resource Management 14
- Software Engineering Research 10
- Co-authors
- Libo Zhang (22 shared papers)Tiejian Luo (13 shared papers)Dawei Du (10 shared papers)Longyin Wen (7 shared papers)Libo Zhang (5 shared papers)Jingzheng Wu (23 shared papers)Xianglong Liu (2 shared papers)Ruyi Ji (6 shared papers)
- Journals
- Neurocomputing (2 papers)Lecture notes in computer science (12 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)Journal of Parallel and Distributed Computing (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanjun Wu
109 papers receiving 2.7k citations
Yanjun Wu's Hit Papers
Peers
Comparison fields: 5 of 199
- Health Informatics 185
- Computer Vision and Pattern Recognition 696
- Artificial Intelligence 1.0k
- Software 122
- Signal Processing 307
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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence: A powerful paradigm for scientific research Hit paper breakdown → | 2021 | 1148 |
| 2 | 2020 | 175 | |
| 3 | 2018 | 124 | |
| 4 | 2020 | 101 | |
| 5 | 2021 | 97 | |
| 6 | 2019 | 90 | |
| 7 | 2021 | 88 | |
| 8 | 2022 | 86 | |
| 9 | 2021 | 72 | |
| 10 | 2018 | 69 | |
| 11 | 2023 | 67 | |
| 12 | 2018 | 57 | |
| 13 | 2020 | 48 | |
| 14 | 2020 | 43 | |
| 15 | 2024 | 39 | |
| 16 | 2021 | 34 | |
| 17 | 2018 | 30 | |
| 18 | 2016 | 27 | |
| 19 | 2022 | 26 | |
| 20 | 2013 | 24 |
About Yanjun Wu
Yanjun Wu is a scholar working on Signal Processing, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Security and Verification in Computing (21 papers), Advanced Malware Detection Techniques (21 papers), Advanced Neural Network Applications (15 papers), Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (13 papers), Parallel Computing and Optimization Techniques (12 papers), Software Engineering Research (10 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Health Informatics (185 citations), Computer Vision and Pattern Recognition (696 citations), Artificial Intelligence (1.0k citations), Software (122 citations) and Signal Processing (307 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, Ruyi Ji, Kaichun Yao and Fei Zhang. Their work appears in journals such as Neurocomputing, Lecture notes in computer science, ACM Transactions on Knowledge Discovery from Data, Journal of Parallel and Distributed Computing and IEEE Access.
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.