Jun Pan

2.0k total citations · 4 hit papers
30 papers, 1.7k citations indexed

About

Jun Pan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Jun Pan has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 11 papers in Mechanical Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Jun Pan's work include Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (10 papers) and Gear and Bearing Dynamics Analysis (8 papers). Jun Pan is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (10 papers) and Gear and Bearing Dynamics Analysis (8 papers). Jun Pan collaborates with scholars based in China, Australia and Indonesia. Jun Pan's co-authors include Jinglong Chen, Yanyang Zi, Zipeng Li, Zhengjia He, Zitong Zhou, Xuefeng Chen, Jing Yuan, Binqiang Chen, Biao Wang and Tongyang Pan and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Renewable Energy and Mechanical Systems and Signal Processing.

In The Last Decade

Jun Pan

27 papers receiving 1.7k citations

Hit Papers

Wavelet transform based on inner product in fault diagnos... 2015 2026 2018 2022 2015 2015 2016 2017 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Pan China 12 1.4k 937 494 237 160 30 1.7k
Yifan Li China 24 997 0.7× 906 1.0× 355 0.7× 258 1.1× 134 0.8× 101 1.6k
Wenhua Du China 19 1.2k 0.8× 851 0.9× 369 0.7× 202 0.9× 109 0.7× 44 1.6k
Zhinong Jiang China 22 1.1k 0.8× 819 0.9× 430 0.9× 190 0.8× 113 0.7× 78 1.5k
Guangming Dong China 23 1.5k 1.0× 1.1k 1.1× 474 1.0× 331 1.4× 102 0.6× 62 1.8k
Jianzhong Zhou China 15 1.0k 0.7× 674 0.7× 425 0.9× 136 0.6× 211 1.3× 28 1.3k
Grover Zurita China 14 1.4k 1.0× 921 1.0× 519 1.1× 128 0.5× 136 0.8× 25 1.8k
Xuejun Li China 21 801 0.6× 773 0.8× 384 0.8× 229 1.0× 152 0.9× 134 1.5k
Yonghao Miao China 22 2.2k 1.5× 1.5k 1.6× 698 1.4× 426 1.8× 145 0.9× 60 2.6k
Tian Ran Lin China 22 1.2k 0.9× 766 0.8× 477 1.0× 314 1.3× 128 0.8× 79 1.9k

Countries citing papers authored by Jun Pan

Since Specialization
Citations

This map shows the geographic impact of Jun Pan'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 Jun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).

Fields of papers citing papers by Jun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Pan. 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 Jun Pan. The network helps show where Jun Pan may publish in the future.

Co-authorship network of co-authors of Jun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Pan. A scholar is included among the top collaborators of Jun Pan 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 Jun Pan. Jun Pan 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.
Li, Lei, et al.. (2024). Selective maintenance of continuously degrading systems with non-identical and stochastically dependent components. Applied Mathematical Modelling. 132. 561–586. 4 indexed citations
3.
Pan, Jun, Jinglong Chen, Yanyang Zi, et al.. (2021). A novel unknown-input and single-output approach to extract vibration patterns via a roving continuous random excitation. ISA Transactions. 129(Pt A). 675–686. 1 indexed citations
4.
Miao, Yang, et al.. (2021). Fault diagnosis of aircraft fuel pump based on transfer learning. 171–175. 1 indexed citations
5.
Chen, Jinglong, Yuanhong Chang, Cheng Qu, et al.. (2020). Intelligent Impulse Finder: A boosting multi-kernel learning network using raw data for mechanical fault identification in big data era. ISA Transactions. 107. 402–414. 9 indexed citations
6.
Li, Fudong, Jinglong Chen, Jun Pan, & Tongyang Pan. (2020). Cross-domain learning in rotating machinery fault diagnosis under various operating conditions based on parameter transfer. Measurement Science and Technology. 31(8). 85104–85104. 38 indexed citations
7.
Li, Zipeng, Yanyang Zi, Jinglong Chen, Jun Pan, & Zitong Zhou. (2020). Performance-guided maintenance policy and optimization for transmission system of shipborne antenna with multiple components. Ocean Engineering. 199. 106903–106903. 8 indexed citations
8.
Pan, Yujia, et al.. (2019). Corner Transition Toolpath Generation Based on Velocity-Blending Algorithm for Glass Edge Grinding. Chinese Journal of Mechanical Engineering. 32(1). 5 indexed citations
9.
Chen, Jinglong, et al.. (2019). Degradation feature extraction using multi-source monitoring data via logarithmic normal distribution based variational auto-encoder. Computers in Industry. 109. 72–82. 50 indexed citations
10.
Pan, Jun, Yanyang Zi, Jinglong Chen, Zitong Zhou, & Biao Wang. (2017). LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification. IEEE Transactions on Industrial Electronics. 65(6). 4973–4982. 257 indexed citations breakdown →
11.
Chen, Jinglong, et al.. (2017). An unsupervised feature extraction method for nonlinear deterioration process of complex equipment under multi dimensional no-label signals. Sensors and Actuators A Physical. 269. 464–473. 25 indexed citations
12.
Pan, Jun, Jinglong Chen, Yanyang Zi, et al.. (2016). Data-driven mono-component feature identification via modified nonlocal means and MEWT for mechanical drivetrain fault diagnosis. Mechanical Systems and Signal Processing. 80. 533–552. 25 indexed citations
13.
Li, Zipeng, Jinglong Chen, Yanyang Zi, & Jun Pan. (2016). Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive. Mechanical Systems and Signal Processing. 85. 512–529. 293 indexed citations breakdown →
14.
Chen, Jinglong, et al.. (2016). Specialization improved nonlocal means to detect periodic impulse feature for generator bearing fault identification. Renewable Energy. 103. 448–467. 5 indexed citations
15.
Wang, Yue, Jun Pan, Bin Jiang, & Ningyun Lu. (2016). Hybrid model based fault tolerant control for quadrotor helicopter with structural damage. 32. 5933–5938. 1 indexed citations
16.
Chen, Jinglong, Jun Pan, Zipeng Li, Yanyang Zi, & Xuefeng Chen. (2015). Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals. Renewable Energy. 89. 80–92. 312 indexed citations breakdown →
17.
Pan, Jun, Jinglong Chen, Yanyang Zi, Yueming Li, & Zhengjia He. (2015). Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment. Mechanical Systems and Signal Processing. 72-73. 160–183. 141 indexed citations
19.
Pan, Jun, et al.. (2014). Study on the TSP Problem Based on SA Algorithm. Applied Mechanics and Materials. 687-691. 1316–1319. 1 indexed citations
20.
Li, Hui & Jun Pan. (2013). Research in Wellbore Display Platform Based on Virtual Reality. Applied Mechanics and Materials. 347-350. 2910–2914.

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.

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