Zhangjun Wu
Impact in
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- Scientific Computing and Data Management
- Information Systems top 2%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Machine Fault Diagnosis Techniques 6
- Fault Detection and Control Systems 6
- Advanced Algorithms and Applications 4
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- Metaheuristic Optimization Algorithms Research 4
- Machine Learning and ELM 2
- Co-authors
- Zhiwei Ni (13 shared papers)Xiao Liu (6 shared papers)Lichuan Gu (4 shared papers)Dong Yuan (5 shared papers)Yun Yang (5 shared papers)Gang Wang (6 shared papers)Jinjun Chen (4 shared papers)Chang Zhang (3 shared papers)
- Journals
- Measurement Science and Technology (3 papers)Applied Soft Computing (2 papers)Measurement (2 papers)Journal of Systems and Software (2 papers)Neural Processing Letters (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Zhangjun Wu
23 papers receiving 615 citations
Peers
Comparison fields: 5 of 50
- Information Systems and Management 137
- Information Systems 434
- Computer Networks and Communications 409
- Control and Systems Engineering 105
- Management Information Systems 34
Countries citing papers authored by Zhangjun Wu
This map shows the geographic impact of Zhangjun 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 Zhangjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhangjun Wu more than expected).
Fields of papers citing papers by Zhangjun Wu
This network shows the impact of papers produced by Zhangjun 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 Zhangjun Wu. The network helps show where Zhangjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhangjun 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 192 | |
| 2 | 2010 | 175 | |
| 3 | 2010 | 47 | |
| 4 | 2009 | 28 | |
| 5 | 2024 | 25 | |
| 6 | 2023 | 25 | |
| 7 | 2010 | 24 | |
| 8 | 2008 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2010 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2011 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 3 | |
| 18 | 2009 | 2 | |
| 19 | 2010 | 2 | |
| 20 | A Similarity Measures Algorithm for CBR Based on Matrix Iterative Learning | 2013 | 1 |
About Zhangjun Wu
Zhangjun Wu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 24 papers that have together received 652 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (6 papers), Fault Detection and Control Systems (6 papers), Cloud Computing and Resource Management (5 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Scientific Computing and Data Management (4 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Information Systems and Management (137 citations), Information Systems (434 citations), Computer Networks and Communications (409 citations), Control and Systems Engineering (105 citations) and Management Information Systems (34 citations). Zhangjun Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhiwei Ni, Xiao Liu, Lichuan Gu, Dong Yuan, Yun Yang, Gang Wang, Jinjun Chen, Chang Zhang, Yuanchun Jiang and Haidong Shao. Their work appears in journals such as Measurement Science and Technology, Applied Soft Computing, Measurement, Journal of Systems and Software and Neural Processing Letters.
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.