Jinglong Chen

8.9k total citations · 11 hit papers
188 papers, 7.1k citations indexed

About

Jinglong Chen is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Jinglong Chen has authored 188 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Control and Systems Engineering, 68 papers in Mechanical Engineering and 51 papers in Artificial Intelligence. Recurrent topics in Jinglong Chen's work include Machine Fault Diagnosis Techniques (133 papers), Fault Detection and Control Systems (61 papers) and Gear and Bearing Dynamics Analysis (40 papers). Jinglong Chen is often cited by papers focused on Machine Fault Diagnosis Techniques (133 papers), Fault Detection and Control Systems (61 papers) and Gear and Bearing Dynamics Analysis (40 papers). Jinglong Chen collaborates with scholars based in China, Canada and Singapore. Jinglong Chen's co-authors include Yanyang Zi, Zitong Zhou, Shuilong He, Tongyang Pan, Jun Pan, Tianci Zhang, Haixin Lv, Yong Feng, Zipeng Li and Yuanhong Chang and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Industrial Electronics and Construction and Building Materials.

In The Last Decade

Jinglong Chen

184 papers receiving 6.8k citations

Hit Papers

Wavelet transform based o... 2015 2026 2018 2022 2015 2021 2019 2015 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jinglong Chen 5.4k 3.0k 1.6k 1.4k 746 188 7.1k
Minping Jia 4.9k 0.9× 3.2k 1.1× 1.6k 1.0× 1.1k 0.8× 587 0.8× 154 6.8k
Chuang Sun 5.2k 1.0× 2.8k 0.9× 1.5k 0.9× 1.5k 1.1× 669 0.9× 127 7.2k
Yi Qin 4.6k 0.9× 3.1k 1.0× 1.3k 0.8× 802 0.6× 968 1.3× 266 7.2k
Zhibin Zhao 4.0k 0.7× 2.2k 0.7× 1.1k 0.7× 1.3k 1.0× 913 1.2× 148 6.3k
Baoping Tang 5.6k 1.0× 3.4k 1.1× 1.8k 1.1× 851 0.6× 864 1.2× 209 7.7k
Hongkai Jiang 6.8k 1.2× 4.1k 1.4× 2.3k 1.5× 1.3k 0.9× 587 0.8× 132 8.0k
Changqing Shen 5.6k 1.0× 3.4k 1.1× 1.8k 1.1× 1.1k 0.8× 414 0.6× 199 6.8k
Feng Jia 6.5k 1.2× 3.9k 1.3× 2.3k 1.5× 1.2k 0.9× 607 0.8× 48 8.2k
Yu Yang 6.0k 1.1× 4.0k 1.3× 2.1k 1.3× 1.0k 0.7× 581 0.8× 264 8.0k
Haidong Shao 8.0k 1.5× 4.6k 1.5× 2.7k 1.7× 1.8k 1.3× 920 1.2× 128 9.9k

Countries citing papers authored by Jinglong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jinglong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglong Chen. A scholar is included among the top collaborators of Jinglong Chen 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 Jinglong Chen. Jinglong Chen 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.
Chen, Jinglong, et al.. (2025). Digital twin modeling Enabling structure full field data reconstruction by Variable fidelity data fusion. Mechanical Systems and Signal Processing. 230. 112619–112619. 1 indexed citations
2.
Li, Ming, Shuilong He, Jinglong Chen, Yong Feng, & Jinsong Xie. (2025). Label-smoothing dynamic decoupling augmented network for intelligent fault diagnosis under imbalanced data distribution with noisy labels. Measurement. 257. 118664–118664. 1 indexed citations
3.
Zhang, Tianci, et al.. (2025). Prior knowledge-informed multi-task dynamic learning for few-shot machinery fault diagnosis. Expert Systems with Applications. 271. 126439–126439. 7 indexed citations
4.
Li, Jingyuan, et al.. (2024). Meta-task interpolation-based data augmentation for imbalanced health status recognition of complex equipment. Computers in Industry. 165. 104226–104226. 1 indexed citations
6.
Zhang, Zhipeng, et al.. (2024). Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data. Journal of Manufacturing Systems. 77. 26–39. 3 indexed citations
7.
Chen, Jinglong, et al.. (2024). Pseudo-label assisted contrastive learning model for unsupervised open-set domain adaptation in fault diagnosis. Reliability Engineering & System Safety. 254. 110650–110650. 9 indexed citations
8.
Chen, Jinglong, et al.. (2024). Lightweight pyramid attention residual network for intelligent fault diagnosis of machine under sharp speed variation. Mechanical Systems and Signal Processing. 223. 111824–111824. 12 indexed citations
9.
Liu, Shen, et al.. (2024). Enhancing equipment safeguarding in IIoT: A self-supervised fault diagnosis paradigm based on asymmetric graph autoencoder. Knowledge-Based Systems. 296. 111922–111922. 7 indexed citations
10.
Chen, Jinglong, et al.. (2024). A batch-adapted cost-sensitive contrastive feature learning network for industrial diagnosis with extremely imbalanced data. Measurement. 244. 116478–116478. 2 indexed citations
11.
Chen, Jinglong, et al.. (2024). Virtual human on social media: Text mining and sentiment analysis. Technology in Society. 78. 102666–102666. 13 indexed citations
12.
Pan, Tongyang, et al.. (2024). A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings. Expert Systems with Applications. 252. 124161–124161. 4 indexed citations
13.
Zhang, Kaiyu, et al.. (2024). Intelligent fault diagnosis under imbalanced multivariate working conditions leveraging dynamic unsupervised domain adaptation with sample and margin regularization. Measurement Science and Technology. 35(7). 76128–76128. 2 indexed citations
14.
Li, Fudong, et al.. (2023). One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis. Knowledge-Based Systems. 275. 110692–110692. 44 indexed citations
15.
16.
Feng, Yong, Jinglong Chen, Shuilong He, & Enyong Xu. (2023). ABC: Aligning binary centers for single-stage monocular 3D object detection. Image and Vision Computing. 136. 104741–104741. 2 indexed citations
17.
Zhang, Tianci, et al.. (2023). Feature-level consistency regularized Semi-supervised scheme with data augmentation for intelligent fault diagnosis under small samples. Mechanical Systems and Signal Processing. 203. 110747–110747. 25 indexed citations
19.
Chen, Jinglong, et al.. (2023). An asymmetrical graph Siamese network for one-classanomaly detection of engine equipment with multi-source fusion. Reliability Engineering & System Safety. 235. 109258–109258. 6 indexed citations
20.
He, Shuilong, et al.. (2023). Intelligent Fault Quantitative Identification via the Improved Deep Deterministic Policy Gradient (DDPG) Algorithm Accompanied With Imbalanced Sample. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 15 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.

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