Wenjun Wu
Impact in
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- Open Source Software Innovations
- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 2%
- Cloud Computing and Resource Management
- Software Engineering Research
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 11
- Reinforcement Learning in Robotics 7
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- Software System Performance and Reliability 10
- Co-authors
- Wei‐Tek Tsai (6 shared papers)Hongqiang Jiang (12 shared papers)Liang Luo (5 shared papers)Wei Li (2 shared papers)Ke Гонг (1 shared paper)Tiejun Huang (1 shared paper)Wang Jinnan (8 shared papers)Radu-Daniel Vatavu (4 shared papers)
- Journals
- Scientific Reports (4 papers)Environmental Pollution (3 papers)Sustainability (3 papers)Journal of Environmental Management (3 papers)The Science of The Total Environment (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wenjun Wu
121 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Computer Science Applications 131
- Information Systems 268
- Health Informatics 15
- Human-Computer Interaction 59
- Global and Planetary Change 215
Countries citing papers authored by Wenjun Wu
This map shows the geographic impact of Wenjun 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 Wenjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Wu more than expected).
Fields of papers citing papers by Wenjun Wu
This network shows the impact of papers produced by Wenjun 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 Wenjun Wu. The network helps show where Wenjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2021 | 58 | |
| 3 | 2023 | 51 | |
| 4 | 2012 | 51 | |
| 5 | 2013 | 46 | |
| 6 | 2024 | 46 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 36 | |
| 9 | 2023 | 36 | |
| 10 | 2022 | 36 | |
| 11 | Energy Modeling Based on Cloud Data Center | 2014 | 34 |
| 12 | 2017 | 32 | |
| 13 | 2022 | 30 | |
| 14 | 2017 | 26 | |
| 15 | 2013 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2019 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2019 | 23 | |
| 20 | 2016 | 23 |
About Wenjun Wu
Wenjun Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 131 papers that have together received 1.3k indexed citations. Recurring topics across this work include Online Learning and Analytics (14 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers), Cloud Computing and Resource Management (10 papers), Software System Performance and Reliability (10 papers), Land Use and Ecosystem Services (8 papers), Reinforcement Learning in Robotics (7 papers), Energy, Environment, Economic Growth (7 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Computer Science Applications (131 citations), Information Systems (268 citations), Health Informatics (15 citations), Human-Computer Interaction (59 citations) and Global and Planetary Change (215 citations). Wenjun Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei‐Tek Tsai, Hongqiang Jiang, Liang Luo, Wei Li, Ke Гонг, Tiejun Huang, Wang Jinnan, Radu-Daniel Vatavu, Yong Han and Wenbo Li. Their work appears in journals such as Scientific Reports, Environmental Pollution, Sustainability, Journal of Environmental Management and The Science of The Total Environment.
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.