Zhen Shi

534 total citations
24 papers, 401 citations indexed

About

Zhen Shi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zhen Shi has authored 24 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 8 papers in Mechanical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Zhen Shi's work include Machine Fault Diagnosis Techniques (12 papers), Fault Detection and Control Systems (9 papers) and Engineering Diagnostics and Reliability (3 papers). Zhen Shi is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Fault Detection and Control Systems (9 papers) and Engineering Diagnostics and Reliability (3 papers). Zhen Shi collaborates with scholars based in China and Singapore. Zhen Shi's co-authors include Jinglong Chen, Zitong Zhou, Shen Liu, Yanyang Zi, Shuilong He, Chen Li, Xinwei Zhang, Qi Wang, Yonghui Xu and Jingli Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mechanical Systems and Signal Processing and Physics of Fluids.

In The Last Decade

Zhen Shi

20 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Shi China 10 305 170 103 68 32 24 401
Haizhou Huang China 7 239 0.8× 177 1.0× 78 0.8× 43 0.6× 33 1.0× 16 327
Qiao Yang China 7 218 0.7× 125 0.7× 69 0.7× 67 1.0× 35 1.1× 24 329
Dalian Yang China 9 277 0.9× 185 1.1× 93 0.9× 44 0.6× 21 0.7× 13 360
Rismaya Kumar Mishra India 9 257 0.8× 144 0.8× 97 0.9× 51 0.8× 28 0.9× 18 345
Aidong Deng China 11 324 1.1× 174 1.0× 114 1.1× 88 1.3× 35 1.1× 35 403
Hongchun Sun China 12 196 0.6× 150 0.9× 90 0.9× 36 0.5× 40 1.3× 42 358
Francisco de Assis Boldt Brazil 7 347 1.1× 211 1.2× 118 1.1× 93 1.4× 14 0.4× 23 454
Guoqiang Li China 8 367 1.2× 207 1.2× 137 1.3× 55 0.8× 37 1.2× 17 438
Zhilin Dong China 9 310 1.0× 172 1.0× 87 0.8× 39 0.6× 37 1.2× 18 378

Countries citing papers authored by Zhen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Shi. A scholar is included among the top collaborators of Zhen Shi 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 Zhen Shi. Zhen Shi 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.
Zi, Yanyang, et al.. (2025). Deep Unsupervised Subdomain Adaptation Network for Intelligent Fault Diagnosis: From Simulated Domain to Physical Domain. IEEE Transactions on Instrumentation and Measurement. 74. 1–16.
2.
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
3.
Li, Jingzhong, et al.. (2024). MFEN: A Multi-Layer Fractal Encoding Network Based on Color Distribution for Road Surface Condition Recognition. IEEE Transactions on Intelligent Vehicles. 10(2). 1213–1225.
4.
Li, Bo, Zhen Shi, Junxiang Zhang, et al.. (2024). Interaction behavior between hydraulic fractures and interface in coal-rock complex rock layer: Experimental study and application exploration. Physics of Fluids. 36(10). 3 indexed citations
5.
Liu, Shen, et al.. (2024). Representations aligned counterfactual domain learning for open-set fault diagnosis under speed transient conditions. Knowledge-Based Systems. 310. 112932–112932. 1 indexed citations
6.
Shi, Zhen, et al.. (2024). Semi-physical simulation-driven contrastive decoupling net for intelligent fault diagnosis of unseen machines under varying speed. Measurement Science and Technology. 35(7). 76101–76101. 3 indexed citations
7.
Zi, Yanyang, et al.. (2024). A Fractional Exponential Power Bistable Stochastic Resonance Method for Rolling Bearing Weak Features Extraction. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 5 indexed citations
8.
Shi, Zhen, Xuan Liu, Jinglong Chen, Yanyang Zi, & Zitong Zhou. (2022). A multi-branch redundant adversarial net for intelligent fault diagnosis of multiple components under drastically variable speeds. ISA Transactions. 129(Pt A). 540–554. 9 indexed citations
9.
Li, Bo, et al.. (2022). Simulation study on the deflection and expansion of hydraulic fractures in coal-rock complexes. Energy Reports. 8. 9958–9968. 8 indexed citations
10.
Shi, Zhen, et al.. (2022). A reliable feature-assisted contrastive generalization net for intelligent fault diagnosis under unseen machines and working conditions. Mechanical Systems and Signal Processing. 188. 110011–110011. 41 indexed citations
11.
Shi, Zhen, Shuilong He, Jinglong Chen, & Yanyang Zi. (2022). A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 12 indexed citations
12.
Chen, Jinglong, et al.. (2022). Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6380–6392. 49 indexed citations
13.
Yang, Zeng-Quan, et al.. (2022). Smoke Detection Algorithm Based on Improved EfficientDet. 61–67.
14.
Liu, Shen, Jinglong Chen, Shuilong He, Zhen Shi, & Zitong Zhou. (2021). Subspace Network with Shared Representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples. ISA Transactions. 128(Pt A). 531–544. 97 indexed citations
15.
Shi, Zhen, et al.. (2016). The Framework of Earth System Cellular Automata Based on SDOG-ESSG and Its Preliminary Experiment. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Chen, Yinsheng, Yonghui Xu, Jingli Yang, et al.. (2016). Fault detection, isolation, and diagnosis of status self-validating gas sensor arrays. Review of Scientific Instruments. 87(4). 45001–45001. 26 indexed citations
17.
Shi, Zhen, et al.. (2015). Small target detection in infrared image via sparse representation. 935–939. 7 indexed citations
18.
Shi, Zhen, et al.. (2014). Pro/ENGINEER and 3DS Max Combined with Virtools for Virtual Reality Application. Advanced materials research. 852. 639–643. 1 indexed citations
19.
Shi, Zhen. (2012). Mechatronical Comprehensive Experiment Based on Engineering Projects. Research and Exploration in Laboratory.
20.
Shi, Zhen. (2012). Efficient numerical simulation and experimental study on residual stress induced by GMAW with cable-type wire. 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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