Dejun Mu
Impact in
- Software top 10%
- Information Systems top 5%
- Recommender Systems and Techniques
- Software Engineering Research
- Expert finding and Q&A systems
Papers in
-
- Text and Document Classification Technologies 6
- Cryptographic Implementations and Security 4
-
- Software Engineering Research 6
- Recommender Systems and Techniques 5
- Co-authors
- Xiaoyan Cai (6 shared papers)Lantian Guo (6 shared papers)Xiaoxue Wu (5 shared papers)Xiang Chen (2 shared papers)Libin Yang (3 shared papers)Fei Hao (3 shared papers)Wei Zheng (3 shared papers)Yu Zhao (1 shared paper)
- Journals
- IEEE Access (6 papers)IEEE Internet of Things Journal (2 papers)Tsinghua Science & Technology (2 papers)Information and Software Technology (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dejun Mu
39 papers receiving 386 citations
Peers
Comparison fields: 5 of 71
- Software 34
- Information Systems 176
- Artificial Intelligence 229
- Hardware and Architecture 36
- Signal Processing 48
Countries citing papers authored by Dejun Mu
This map shows the geographic impact of Dejun Mu'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 Dejun Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Mu more than expected).
Fields of papers citing papers by Dejun Mu
This network shows the impact of papers produced by Dejun Mu. 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 Dejun Mu. The network helps show where Dejun Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun Mu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2018 | 62 | |
| 3 | 2017 | 34 | |
| 4 | 2023 | 32 | |
| 5 | 2017 | 28 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2007 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2008 | 4 |
About Dejun Mu
Dejun Mu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 42 papers that have together received 404 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (6 papers), Software Engineering Research (6 papers), Advanced Malware Detection Techniques (5 papers), Recommender Systems and Techniques (5 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Cryptographic Implementations and Security (4 papers), Software Testing and Debugging Techniques (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Software (34 citations), Information Systems (176 citations), Artificial Intelligence (229 citations), Hardware and Architecture (36 citations) and Signal Processing (48 citations). Dejun Mu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaoyan Cai, Lantian Guo, Xiaoxue Wu, Xiang Chen, Libin Yang, Fei Hao, Wei Zheng, Yu Zhao, Tingting Yu and Hang Dai. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Tsinghua Science & Technology, Information and Software Technology and IEEE Transactions on Circuits & Systems II Express Briefs.
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.