Wu Jun
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Algorithms and Data Compression
Papers in
-
- Machine Fault Diagnosis Techniques 7
- Fault Detection and Control Systems 2
-
- Topic Modeling 6
- Natural Language Processing Techniques 5
- Speech Recognition and Synthesis 4
- Neural Networks and Applications 2
- Co-authors
- Sanjeev P. Khudanpur (6 shared papers)Eric Brill (1 shared paper)Liping Wang (5 shared papers)Cynthia M. Clark (2 shared papers)Liping Wang (1 shared paper)Guo Chen (1 shared paper)Hongjun Zhao (2 shared papers)Zheng-Wen Xu (1 shared paper)
- Journals
- Applied Mathematics and Nonlinear Sciences (1 paper)Journal of Energy Storage (1 paper)Applied Sciences (1 paper)BMC Infectious Diseases (1 paper)Computer Speech & Language (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wu Jun
28 papers receiving 344 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 263
- Signal Processing 23
- Control and Systems Engineering 45
- Medical Laboratory Technology 2
- Research and Theory 1
Countries citing papers authored by Wu Jun
This map shows the geographic impact of Wu Jun'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 Wu Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Jun more than expected).
Fields of papers citing papers by Wu Jun
This network shows the impact of papers produced by Wu Jun. 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 Wu Jun. The network helps show where Wu Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Jun, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 100 | |
| 2 | 2000 | 75 | |
| 3 | 1999 | 36 | |
| 4 | 2000 | 23 | |
| 5 | Faculty and student perceptions of academic incivility in the People's Republic of China. | 2012 | 18 |
| 6 | 2023 | 16 | |
| 7 | 2020 | 15 | |
| 8 | Descriptive study of student incivility in the People's Republic of China. | 2010 | 14 |
| 9 | 2002 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2007 | 10 | |
| 13 | 2009 | 7 | |
| 14 | 2001 | 6 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | Construction and Practice of Practice Base Outside School | 2009 | 2 |
| 20 | 2024 | 2 |
About Wu Jun
Wu Jun is a scholar working on Control and Systems Engineering, Artificial Intelligence, Demography, Information Systems and Computational Theory and Mathematics, having authored 32 papers that have together received 386 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (7 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (4 papers), Gear and Bearing Dynamics Analysis (3 papers), Higher Education and Teaching Methods (2 papers), Neural Networks and Applications (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Artificial Intelligence (263 citations), Signal Processing (23 citations), Control and Systems Engineering (45 citations), Medical Laboratory Technology (2 citations) and Research and Theory (1 citation). Wu Jun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sanjeev P. Khudanpur, Eric Brill, Liping Wang, Cynthia M. Clark, Liping Wang, Guo Chen, Hongjun Zhao, Zheng-Wen Xu, Qiang Li and Decheng Wang. Their work appears in journals such as Applied Mathematics and Nonlinear Sciences, Journal of Energy Storage, Applied Sciences, BMC Infectious Diseases and Computer Speech & Language.
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.