Zhenzhen Jin

1.7k total citations · 2 hit papers
53 papers, 1.1k citations indexed

About

Zhenzhen Jin is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zhenzhen Jin has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Zhenzhen Jin's work include Machine Fault Diagnosis Techniques (31 papers), Gear and Bearing Dynamics Analysis (21 papers) and Engineering Diagnostics and Reliability (11 papers). Zhenzhen Jin is often cited by papers focused on Machine Fault Diagnosis Techniques (31 papers), Gear and Bearing Dynamics Analysis (21 papers) and Engineering Diagnostics and Reliability (11 papers). Zhenzhen Jin collaborates with scholars based in China, United States and United Kingdom. Zhenzhen Jin's co-authors include Deqiang He, Zexian Wei, Sheng Shan, Zhenpeng Lao, Jian Miao, Yanjun Chen, Rui Ma, Chenyu Liu, Yanjun Chen and Fan Zhang and has published in prestigious journals such as Expert Systems with Applications, Energy and Renewable Energy.

In The Last Decade

Zhenzhen Jin

49 papers receiving 1.1k citations

Hit Papers

Intelligent fault diagnosis of train axle box bearing bas... 2022 2026 2023 2024 2022 2024 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
Zhenzhen Jin China 17 772 505 261 124 119 53 1.1k
Ansi Zhang China 15 701 0.9× 390 0.8× 211 0.8× 86 0.7× 252 2.1× 38 1.1k
Huawei Wang China 17 653 0.8× 354 0.7× 224 0.9× 82 0.7× 132 1.1× 67 1.1k
Shulin Liu China 20 730 0.9× 475 0.9× 271 1.0× 104 0.8× 198 1.7× 87 1.2k
Zhe Yang China 20 472 0.6× 337 0.7× 184 0.7× 145 1.2× 262 2.2× 74 1.1k
Guangqi Qiu China 16 515 0.7× 458 0.9× 274 1.0× 67 0.5× 80 0.7× 41 975
Meng Hee Lim Malaysia 14 596 0.8× 329 0.7× 189 0.7× 122 1.0× 138 1.2× 30 876
Jingyao Wu China 11 867 1.1× 435 0.9× 208 0.8× 126 1.0× 318 2.7× 26 1.2k
Viktor Slavkovikj Belgium 8 830 1.1× 596 1.2× 380 1.5× 105 0.8× 216 1.8× 10 1.4k
Tian Han China 18 1.1k 1.5× 686 1.4× 387 1.5× 117 0.9× 166 1.4× 42 1.5k
Yuanhang Wang China 17 717 0.9× 464 0.9× 229 0.9× 115 0.9× 113 0.9× 49 1.1k

Countries citing papers authored by Zhenzhen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhenzhen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenzhen Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenzhen Jin. A scholar is included among the top collaborators of Zhenzhen Jin 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 Zhenzhen Jin. Zhenzhen Jin 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.
He, Deqiang, et al.. (2025). Real-time traffic enhancement scheduling for train communication networks based on TSN. Journal of Traffic and Transportation Engineering (English Edition). 12(1). 34–51.
2.
Jin, Zhenzhen, et al.. (2025). A new method for bearing remaining useful life prediction based on dynamic wavelet and physical information constraints. Expert Systems with Applications. 296. 129023–129023. 8 indexed citations
3.
Jin, Zhenzhen, et al.. (2025). Node-level pooled graph neural network with adaptive for bearing remaining useful life prediction. Measurement Science and Technology. 36(10). 105108–105108.
4.
He, Deqiang, et al.. (2025). Advances in digital twinning for bearing fault diagnosis: a literature review. Measurement Science and Technology. 36(9). 92001–92001. 1 indexed citations
5.
He, Deqiang, et al.. (2024). Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network. Knowledge-Based Systems. 294. 111746–111746. 16 indexed citations
6.
Wu, Jinxin, et al.. (2024). Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit. Expert Systems with Applications. 245. 123091–123091. 15 indexed citations
7.
Zhang, Fan, et al.. (2024). MT-ConvFormer: A Multitask Bearing Fault Diagnosis Method Using a Combination of CNN and Transformer. IEEE Transactions on Instrumentation and Measurement. 74. 1–16. 10 indexed citations
8.
He, Deqiang, et al.. (2024). RTSMFFDE-HKRR: A fault diagnosis method for train bearing in noise environment. Measurement. 239. 115417–115417. 79 indexed citations breakdown →
9.
Wei, Zexian, et al.. (2024). Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition. IEEE Transactions on Vehicular Technology. 73(11). 16582–16592. 3 indexed citations
10.
He, Deqiang, et al.. (2023). Remaining useful life prediction for train bearing based on an ILSTM network with adaptive hyperparameter optimization. Transportation Safety and Environment. 6(2). 3 indexed citations
11.
He, Deqiang, et al.. (2023). Research on flow scheduling of train communication based on time-sensitive network. Simulation Modelling Practice and Theory. 130. 102859–102859. 5 indexed citations
12.
He, Deqiang, et al.. (2023). Welding quality detection of metro train body based on ABC mask R-CNN. Measurement. 216. 112969–112969. 18 indexed citations
13.
Lao, Zhenpeng, et al.. (2023). Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network. Knowledge-Based Systems. 274. 110634–110634. 58 indexed citations
14.
Jin, Zhenzhen, et al.. (2023). Research on fault diagnosis method of bearing based on parameter optimization VMD and improved DBN. Journal of Vibroengineering. 25(6). 1068–1082. 8 indexed citations
15.
He, Deqiang, et al.. (2023). Preventive maintenance optimization for key components of subway train bogie with consideration of failure risk. Engineering Failure Analysis. 154. 107634–107634. 56 indexed citations
16.
Lao, Zhenpeng, Deqiang He, Zexian Wei, et al.. (2023). Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM. Engineering Failure Analysis. 148. 107219–107219. 61 indexed citations
17.
Jin, Zhenzhen, et al.. (2023). Research on Bearing Variable Condition Fault Diagnosis Based on RDADNN. Journal of Failure Analysis and Prevention. 23(4). 1663–1674. 4 indexed citations
18.
Jin, Zhenzhen, et al.. (2022). Bearing Fault Diagnosis Based on VMD Fuzzy Entropy and Improved Deep Belief Networks. Journal of Vibration Engineering & Technologies. 11(2). 577–587. 19 indexed citations
19.
Liu, Yanhong, et al.. (2022). Self-balance Control of Bicycle with Inertial Wheel Pendulum based on Linear ADRC. 6403–6408. 2 indexed citations
20.
Jin, Zhenzhen. (2012). Design of Fuzzy Self-adaptive PID Control System for Resistance Furnace Temperature. Rejiagong gongyi.

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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