Zhijian Wang

3.1k total citations · 2 hit papers
108 papers, 2.6k citations indexed

About

Zhijian Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Zhijian Wang has authored 108 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Control and Systems Engineering, 41 papers in Mechanical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Zhijian Wang's work include Machine Fault Diagnosis Techniques (49 papers), Gear and Bearing Dynamics Analysis (31 papers) and Fault Detection and Control Systems (26 papers). Zhijian Wang is often cited by papers focused on Machine Fault Diagnosis Techniques (49 papers), Gear and Bearing Dynamics Analysis (31 papers) and Fault Detection and Control Systems (26 papers). Zhijian Wang collaborates with scholars based in China, Hong Kong and Philippines. Zhijian Wang's co-authors include Junyuan Wang, Wenhua Du, Jie Zhou, Naipeng Li, Xinxin He, Bin Yang, Wang Jingtai, Gaofeng He, Yaguo Lei and Yanfeng Li and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Science Advances and IEEE Access.

In The Last Decade

Zhijian Wang

95 papers receiving 2.5k citations

Hit Papers

Subdomain Adaptation Transfer Learning Network for Fault ... 2021 2026 2022 2024 2021 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings
    2021 219 citations Zhijian Wang, Xinxin He et al. profile →
  2. Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution
    2021 197 citations Zhijian Wang, Jie Zhou et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijian Wang China 25 1.7k 1.3k 544 254 239 108 2.6k
Siliang Lu China 34 2.3k 1.4× 1.4k 1.1× 602 1.1× 383 1.5× 265 1.1× 117 3.8k
Xu Li China 19 1.3k 0.7× 1.4k 1.1× 593 1.1× 125 0.5× 348 1.5× 93 2.6k
Qing Zhao Canada 30 2.7k 1.5× 1.2k 0.9× 374 0.7× 307 1.2× 305 1.3× 189 3.8k
Minghang Zhao China 24 1.8k 1.1× 1.1k 0.9× 569 1.0× 216 0.9× 509 2.1× 59 3.0k
Guangrui Wen China 25 1.1k 0.6× 1.3k 1.1× 527 1.0× 211 0.8× 210 0.9× 136 2.3k
Anil Kumar China 32 2.1k 1.2× 1.6k 1.3× 697 1.3× 351 1.4× 378 1.6× 118 3.1k
Gaoliang Peng China 20 2.3k 1.3× 1.7k 1.3× 920 1.7× 413 1.6× 352 1.5× 72 3.3k

Countries citing papers authored by Zhijian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhijian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijian Wang. A scholar is included among the top collaborators of Zhijian Wang 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 Zhijian Wang. Zhijian Wang 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.
Wang, Zhijian, Zhongxin Chen, Yanfeng Li, et al.. (2025). Remaining useful life prediction method based on two-phase adaptive drift Wiener process. Reliability Engineering & System Safety. 258. 110908–110908. 4 indexed citations
2.
3.
Ren, Weibo, et al.. (2025). Multifault Feature Wasserstein Generative Adversarial Networks for Fault Diagnosis in Unbalanced Data. IEEE Transactions on Instrumentation and Measurement. 74. 1–9. 2 indexed citations
4.
Wang, Zhijian, Zhenlin Li, Weibo Ren, et al.. (2025). An Online Adaptive Multidegradation Model for Accurate Remaining Useful Life Prediction. IEEE Transactions on Reliability. 74(4). 5475–5486.
5.
Wang, Zhijian, Jian Zang, Yang Yang, et al.. (2024). Dynamic characteristics and vibration control of composite laminate wall panels in electric aircraft using NiTi shape memory alloys. Aerospace Science and Technology. 155. 109517–109517. 6 indexed citations
6.
Wang, Zhijian, Yan‐Feng Li, Lei Dong, et al.. (2024). A remaining useful life prediction framework with adaptive dynamic feedback. Mechanical Systems and Signal Processing. 218. 111595–111595. 7 indexed citations
7.
8.
Wang, Zhijian, et al.. (2023). Adaptive staged RUL prediction of rolling bearing. Measurement. 222. 113478–113478. 22 indexed citations
9.
He, Xinxin, Zhijian Wang, Yanfeng Li, et al.. (2022). Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints. Reliability Engineering & System Safety. 222. 108429–108429. 67 indexed citations
10.
Wang, Zhijian, et al.. (2021). Bearing fault diagnosis method based on similarity measure and ensemble learning. Measurement Science and Technology. 32(5). 55005–55005. 5 indexed citations
11.
Liu, Kexin, et al.. (2021). Application of a Novel Improved Adaptive CYCBD Method in Gearbox Compound Fault Diagnosis. IEEE Access. 9. 133835–133848. 15 indexed citations
12.
Wang, Zhijian, et al.. (2020). Travel Time Prediction Based on LSTM Neural Network in Precipitation. 20(1). 137–144. 8 indexed citations
13.
Wang, Tian, et al.. (2020). A Top-K Query Scheme With Privacy Preservation for Intelligent Vehicle Network in Mobile IoT. IEEE Access. 8. 81698–81710. 2 indexed citations
14.
Sun, Zeyu, et al.. (2020). Edge Computing in Internet of Things: A Novel Sensing-Data Reconstruction Algorithm Under Intelligent-Migratoin Stragegy. IEEE Access. 8. 50696–50708. 8 indexed citations
15.
16.
Wang, Zhijian, Junyuan Wang, Jie Zhou, et al.. (2019). Application of an Improved Ensemble Local Mean Decomposition Method for Gearbox Composite Fault Diagnosis. Complexity. 2019(1). 64 indexed citations
17.
Wang, Zhijian, Ping Yu, Nan Yan, Lan Wang, & Manwa L. Ng. (2015). Automatic Assessment of Pathological Voice Quality Using Multidimensional Acoustic Analysis Based on the GRBAS Scale. Journal of Signal Processing Systems. 82(2). 241–251. 25 indexed citations
18.
Ping, Ping, Feng Xu, & Zhijian Wang. (2013). Generating High-Quality Random Numbers by Next Nearest-Neighbor Cellular Automata. 3 indexed citations
19.
Wang, Zhijian. (2009). Measuring method of angle-measurement precision for fire control dynamic performance test system. Journal of Applied Optics. 2 indexed citations
20.
Scotti, Luciana, et al.. (1969). Moving Object Detection and Recognition Using Optical Flow and Eigen Face Using Low Resolution Video. Recent Patents on Computer Science. 11. 1–1. 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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