Wu Jun

493 total citations
28 papers, 343 citations indexed

About

Wu Jun is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Wu Jun has authored 28 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Wu Jun's work include Machine Fault Diagnosis Techniques (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Wu Jun is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Wu Jun collaborates with scholars based in China, United States and United Kingdom. Wu Jun's co-authors include Sanjeev Khudanpur, Eric Brill, Liping Wang, Cynthia M. Clark, Liping Wang, Hongjun Zhao, Decheng Wang, Qiang Li, Jian Wu and Zhengwen Xu and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Applied Sciences and Journal of Energy Storage.

In The Last Decade

Wu Jun

24 papers receiving 297 citations

Peers

Wu Jun
Nusrat Jahan Prottasha Bangladesh
Matthew Molineaux United States
Julia Badger United States
Junfeng Tian China
Gavin Pearson United States
Atsushi Fujita Japan
Tim Hesketh Australia
Yuanfeng Song Hong Kong
R. Srinivasan India
Nusrat Jahan Prottasha Bangladesh
Wu Jun
Citations per year, relative to Wu Jun Wu Jun (= 1×) peers Nusrat Jahan Prottasha

Countries citing papers authored by Wu Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wu Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Jun. A scholar is included among the top collaborators of Wu Jun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wu Jun. Wu Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jun, Wu, Liurong Shi, Jin Li, et al.. (2025). Design and study of semi-solid-state lithium-ion battery based on LATP electrolyte. Journal of Energy Storage. 120. 116487–116487.
2.
Jun, Wu, et al.. (2024). TFARNet: A novel dynamic adaptive time-frequency attention residual network for rotating machinery intelligent health prediction. Journal of Mechanical Science and Technology. 38(9). 4611–4630. 1 indexed citations
3.
Yu, Guang, et al.. (2024). Kinematic performance evaluation method of a 3-DOF redundantly actuated parallel manipulator. Journal of Mechanical Science and Technology. 38(9). 5075–5085. 1 indexed citations
4.
Jun, Wu, et al.. (2024). A Multi-Task Network With Dynamic Segmentation for Sea Ice Classification in Arctic Shipping Route Optimization. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11893–11905. 1 indexed citations
5.
Jun, Wu, et al.. (2023). Remaining Useful Life Prediction of Rolling Bearings Based on Multi-Scale Attention Residual Network. Entropy. 25(5). 798–798. 12 indexed citations
6.
Wang, Liping, et al.. (2023). Transfer multiscale adaptive convolutional neural network for few-shot and cross-domain bearing fault diagnosis. Measurement Science and Technology. 34(12). 125002–125002. 13 indexed citations
7.
An, Qingyu, et al.. (2022). Using the hybrid EMD-BPNN model to predict the incidence of HIV in Dalian, Liaoning Province, China, 2004–2018. BMC Infectious Diseases. 22(1). 102–102. 4 indexed citations
8.
Jun, Wu, et al.. (2021). Energy Consumption Comparison of a Novel Parallel Tracker and Its Corresponding Serial Tracker. Mathematical Problems in Engineering. 2021. 1–14. 4 indexed citations
9.
10.
Wang, Liping, et al.. (2020). Elimination of End effects in LMD Based on LSTM Network and Applications for Rolling Bearing Fault Feature Extraction. Mathematical Problems in Engineering. 2020. 1–16. 15 indexed citations
11.
Clark, Cynthia M., et al.. (2012). Faculty and student perceptions of academic incivility in the People's Republic of China.. PubMed. 19(3). 85–93. 18 indexed citations
12.
Jun, Wu. (2011). Exploration and Practice of the Practice Teaching Reform on Engineering Disciplines. Research and Exploration in Laboratory. 1 indexed citations
13.
Jun, Wu. (2009). Capability Maturity Model Research of Third-party Logistics Enterprises. Zhongguo ruankexue.
14.
Wang, Jiandong, et al.. (2009). Methods to Tackle State Explosion Problem in Model Checking. 329–331. 6 indexed citations
15.
Jun, Wu. (2008). International Comparison Research on Specialty Education on Built Environment and Service.
16.
Li, Qiang, Jian Wu, Zhengwen Xu, & Wu Jun. (2007). Extraction of the Periodic Components of Solar Activity with the EMD Method. Chinese Astronomy and Astrophysics. 31(3). 261–269. 9 indexed citations
17.
Jun, Wu, et al.. (2002). BUILDING A TOPIC-DEPENDENT MAXIMUM ENTROPY MODEL FOR. 1 indexed citations
18.
Khudanpur, Sanjeev & Wu Jun. (2000). Maximum entropy techniques for exploiting syntactic, semantic and collocational dependencies in language modeling. Computer Speech & Language. 14(4). 355–372. 70 indexed citations
19.
Jun, Wu & Sanjeev Khudanpur. (2000). Efficient training methods for maximum entropy language modeling. vol. 3, 114–118. 22 indexed citations
20.
Khudanpur, Sanjeev & Wu Jun. (1999). A maximum entropy language model integrating N-grams and topic dependencies for conversational speech recognition. 3. 553–556 vol.1. 34 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nusrat Jahan Prottasha Breakdown of academic impact, for papers by Matthew Molineaux Breakdown of academic impact, for papers by Julia Badger Breakdown of academic impact, for papers by Junfeng Tian Breakdown of academic impact, for papers by Gavin Pearson Breakdown of academic impact, for papers by Atsushi Fujita Breakdown of academic impact, for papers by Tim Hesketh Breakdown of academic impact, for papers by Yuanfeng Song Breakdown of academic impact, for papers by R. Srinivasan
Rankless by CCL
2026