Zhijun Ren

1.6k total citations · 2 hit papers
46 papers, 1.3k citations indexed

About

Zhijun Ren is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Zhijun Ren has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 12 papers in Artificial Intelligence and 12 papers in Mechanical Engineering. Recurrent topics in Zhijun Ren's work include Machine Fault Diagnosis Techniques (24 papers), Fault Detection and Control Systems (12 papers) and Gear and Bearing Dynamics Analysis (10 papers). Zhijun Ren is often cited by papers focused on Machine Fault Diagnosis Techniques (24 papers), Fault Detection and Control Systems (12 papers) and Gear and Bearing Dynamics Analysis (10 papers). Zhijun Ren collaborates with scholars based in China, Canada and Hong Kong. Zhijun Ren's co-authors include Yongsheng Zhu, Haibin Gu, Qiangjun Ling, Zhao Li, Dawei Gao, Ke Yan, Ke Tao, Wentao Liu, Wei Kang and Ke Feng and has published in prestigious journals such as ACS Applied Materials & Interfaces, Polymer and Carbohydrate Polymers.

In The Last Decade

Zhijun Ren

40 papers receiving 1.3k citations

Hit Papers

Highly Sensitive and Robust Polysaccharide-Based Composit... 2022 2026 2023 2024 2022 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijun Ren China 14 502 495 353 326 189 46 1.3k
Amir Ameli United States 28 797 1.6× 1.2k 2.5× 496 1.4× 644 2.0× 85 0.4× 103 3.0k
Haifeng Xu China 17 210 0.4× 159 0.3× 483 1.4× 431 1.3× 100 0.5× 86 1.4k
Jingfei Zhang China 17 166 0.3× 171 0.3× 92 0.3× 100 0.3× 56 0.3× 43 698
Rui Fu China 21 271 0.5× 220 0.4× 265 0.8× 35 0.1× 57 0.3× 90 1.6k
Wen‐Yi Lin Taiwan 18 417 0.8× 237 0.5× 213 0.6× 72 0.2× 59 0.3× 69 1.3k
Frédéric Demoly France 27 54 0.1× 563 1.1× 1.1k 3.1× 158 0.5× 66 0.3× 76 1.9k
William Toh Singapore 17 55 0.1× 514 1.0× 494 1.4× 116 0.4× 12 0.1× 41 1.5k
Lifeng Wu China 26 820 1.6× 53 0.1× 507 1.4× 181 0.6× 210 1.1× 77 2.3k
Jianqiang Luo China 17 161 0.3× 72 0.1× 132 0.4× 379 1.2× 97 0.5× 57 1.2k

Countries citing papers authored by Zhijun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Zhijun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijun Ren. A scholar is included among the top collaborators of Zhijun Ren 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 Zhijun Ren. Zhijun Ren 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.
Ren, Zhijun, et al.. (2025). A novel multi-sensor information fusion method for fault diagnosis of rotating machinery with missing signals. Advanced Engineering Informatics. 68. 103595–103595.
2.
Ren, Zhijun, et al.. (2025). Contribution Imbalance and the Improvement Method in Multisensor Information Fusion-Based Intelligent Fault Diagnosis of Rotating Machinery. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
3.
Ren, Zhijun, et al.. (2025). A dual-perspective joint domain generalization network for bearing fault diagnosis under unseen working conditions. Advanced Engineering Informatics. 66. 103447–103447. 2 indexed citations
4.
Ren, Zhijun, et al.. (2025). A MoE-LLM-based multisensor flexible fusion fault diagnosis method for rotating machinery. Advanced Engineering Informatics. 69. 104009–104009.
5.
Ren, Zhijun, Linbo Zhu, Yongsheng Zhu, et al.. (2025). A Systematic Review of Multisensor Information Fusion for Equipment Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–48. 8 indexed citations
6.
Ren, Zhijun, et al.. (2024). A three-stage bearing transfer fault diagnosis method for large domain shift scenarios. Reliability Engineering & System Safety. 254. 110641–110641. 5 indexed citations
7.
Ren, Zhijun, et al.. (2024). Neural architecture search for multi-sensor information fusion-based intelligent fault diagnosis. Advanced Engineering Informatics. 62. 102776–102776. 9 indexed citations
9.
Ren, Zhijun, et al.. (2024). Intra-domain self generalization network for intelligent fault diagnosis of bearings under unseen working conditions. Advanced Engineering Informatics. 64. 102997–102997. 8 indexed citations
10.
Gao, Dawei, Yongsheng Zhu, Linbo Zhu, et al.. (2023). Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis. Reliability Engineering & System Safety. 242. 109746–109746. 24 indexed citations
11.
Ren, Zhijun, Dawei Gao, Yongsheng Zhu, et al.. (2023). Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis. Engineering Applications of Artificial Intelligence. 124. 106542–106542. 23 indexed citations
12.
Zhu, Yongsheng, et al.. (2023). CCFT: The Convolution and Cross-Fusion Transformer for Fault Diagnosis of Bearings. IEEE/ASME Transactions on Mechatronics. 29(3). 2161–2172. 24 indexed citations
13.
Ren, Zhijun, Dawei Gao, Yongsheng Zhu, et al.. (2023). Generation of high-dimensional vibration signal and its application in fault diagnosis. Measurement Science and Technology. 35(1). 15103–15103. 2 indexed citations
14.
Gao, Dawei, Yongsheng Zhu, Yan Ke, et al.. (2023). Joint learning system based on semi–pseudo–label reliability assessment for weak–fault diagnosis with few labels. Mechanical Systems and Signal Processing. 189. 110089–110089. 38 indexed citations
15.
Zhu, Yongsheng, et al.. (2023). Sound-Based Intelligent Detection of FOD in the Final Assembly of Rocket Tanks. Machines. 11(2). 187–187. 3 indexed citations
16.
Ling, Qiangjun, Wentao Liu, Jiachang Liu, et al.. (2022). Highly Sensitive and Robust Polysaccharide-Based Composite Hydrogel Sensor Integrated with Underwater Repeatable Self-Adhesion and Rapid Self-Healing for Human Motion Detection. ACS Applied Materials & Interfaces. 14(21). 24741–24754. 207 indexed citations breakdown →
17.
Ling, Qiangjun, Ke Tao, Wentao Liu, et al.. (2021). Tough, Repeatedly Adhesive, Cyclic Compression-Stable, and Conductive Dual-Network Hydrogel Sensors for Human Health Monitoring. Industrial & Engineering Chemistry Research. 60(50). 18373–18383. 128 indexed citations
18.
Kang, Wei, Yongsheng Zhu, Ke Yan, et al.. (2021). Research on extracting weak repetitive transients of fault rolling element bearing. ISA Transactions. 123. 381–397. 20 indexed citations
19.
Gao, Dawei, Yongsheng Zhu, Wei Kang, et al.. (2021). Weak fault detection with a two-stage key frequency focusing model. ISA Transactions. 125. 384–399. 7 indexed citations
20.
Ren, Zhijun. (2010). Delivering a Comprehensive BI Solution with Microsoft Business Intelligence Stack. 278–281. 1 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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