He Ren

523 total citations
15 papers, 400 citations indexed

About

He Ren is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, He Ren has authored 15 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in He Ren's work include Machine Fault Diagnosis Techniques (12 papers), Structural Health Monitoring Techniques (3 papers) and Gear and Bearing Dynamics Analysis (3 papers). He Ren is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Structural Health Monitoring Techniques (3 papers) and Gear and Bearing Dynamics Analysis (3 papers). He Ren collaborates with scholars based in China and United States. He Ren's co-authors include Jun Wang, Weiguo Huang, Xin Wang, Zhongkui Zhu, Wenyi Liu, Changqing Shen, W.Y. Liu, Zhongkui Zhu, Juanjuan Shi and Jinzhao Liu and has published in prestigious journals such as Scientific Reports, Renewable Energy and Mechanical Systems and Signal Processing.

In The Last Decade

He Ren

13 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Ren China 10 310 177 93 68 48 15 400
Daichao Wang China 7 351 1.1× 193 1.1× 103 1.1× 67 1.0× 57 1.2× 17 429
Guoqiang Li China 8 367 1.2× 207 1.2× 137 1.5× 55 0.8× 37 0.8× 17 438
Zhiwu Shang China 12 319 1.0× 170 1.0× 102 1.1× 94 1.4× 31 0.6× 40 411
Zhen Shi China 10 305 1.0× 170 1.0× 103 1.1× 68 1.0× 32 0.7× 24 401
Sixiang Jia China 12 450 1.5× 220 1.2× 128 1.4× 143 2.1× 44 0.9× 26 529
Aidong Deng China 11 324 1.0× 174 1.0× 114 1.2× 88 1.3× 35 0.7× 35 403
Jorge Nei Brito Brazil 6 278 0.9× 139 0.8× 90 1.0× 89 1.3× 57 1.2× 15 387
Diwang Ruan China 9 356 1.1× 215 1.2× 104 1.1× 64 0.9× 30 0.6× 29 450

Countries citing papers authored by He Ren

Since Specialization
Citations

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

Fields of papers citing papers by He Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Ren

This figure shows the co-authorship network connecting the top 25 collaborators of He Ren. A scholar is included among the top collaborators of He 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 He Ren. He Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Ren, He, Jun Wang, Zhongkui Zhu, Juanjuan Shi, & Weiguo Huang. (2023). Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions. Mechanical Systems and Signal Processing. 200. 110579–110579. 47 indexed citations
3.
Ren, He, Jun Wang, Weiguo Huang, Xingxing Jiang, & Zhongkui Zhu. (2023). Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis. Engineering Applications of Artificial Intelligence. 126. 107117–107117. 31 indexed citations
4.
Ren, He, Jun Wang, Changqing Shen, Weiguo Huang, & Zhongkui Zhu. (2023). Dual Classifier-Discriminator Adversarial Networks for Open Set Fault Diagnosis of Train Bearings. IEEE Sensors Journal. 23(18). 22040–22050. 13 indexed citations
5.
Wang, Jun, He Ren, Changqing Shen, Weiguo Huang, & Zhongkui Zhu. (2023). Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis. Reliability Engineering & System Safety. 243. 109879–109879. 77 indexed citations
6.
Ren, He, et al.. (2022). Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 45 indexed citations
7.
8.
Ren, He, et al.. (2021). Beampattern Synthesis of Frequency Division Array Based on Optimized Differential Evolution Algorithm. 2021 IEEE 21st International Conference on Communication Technology (ICCT). 91–95.
9.
Liu, Wenyi, et al.. (2021). A Novel Wind Turbine Health Condition Monitoring Method Based on Correlative Features Domain Adaptation. International Journal of Precision Engineering and Manufacturing-Green Technology. 9(1). 191–200. 10 indexed citations
10.
Xu, Xuemei, Jun Wang, Juanjuan Shi, et al.. (2021). Data Augmentation Based on Varying-parameter Time-frequency Analysis for Imbalanced Fault Diagnosis of Rolling Bearings. 222–227. 1 indexed citations
11.
Chao, Ling, et al.. (2021). IAE-ClusterGAN: A new Inverse autoencoder for Generative Adversarial Attention Clustering network. Neurocomputing. 465. 406–416. 4 indexed citations
12.
13.
Liu, W.Y. & He Ren. (2020). A novel wind turbine health condition monitoring method based on common features distribution adaptation. International Journal of Energy Research. 44(11). 8681–8688. 10 indexed citations
14.
Ren, He, et al.. (2019). A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning. Measurement. 148. 106906–106906. 111 indexed citations
15.
Ren, He, et al.. (2017). A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW. Measurement. 109. 242–246. 9 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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2026