Jianghong Zhou

1.2k total citations · 2 hit papers
22 papers, 836 citations indexed

About

Jianghong Zhou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jianghong Zhou has authored 22 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jianghong Zhou's work include Machine Fault Diagnosis Techniques (14 papers), Reliability and Maintenance Optimization (6 papers) and Mechanical Failure Analysis and Simulation (5 papers). Jianghong Zhou is often cited by papers focused on Machine Fault Diagnosis Techniques (14 papers), Reliability and Maintenance Optimization (6 papers) and Mechanical Failure Analysis and Simulation (5 papers). Jianghong Zhou collaborates with scholars based in China, Canada and Germany. Jianghong Zhou's co-authors include Yi Qin, Dingliang Chen, Quan Qian, Yi Wang, Fuqiang Liu, Jun Luo, Tao Zhu, Huayan Pu, Yongfang Mao and Shilong Wang and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jianghong Zhou

21 papers receiving 811 citations

Hit Papers

Relationship Transfer Domain Generalization Network for R... 2022 2026 2023 2024 2023 2022 40 80 120
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. Relationship Transfer Domain Generalization Network for Rotating Machinery Fault Diagnosis Under Different Working Conditions
    2023 132 citations Quan Qian, Jianghong Zhou et al. IEEE Transactions on Industrial Informatics profile →
  2. Remaining useful life prediction of bearings by a new reinforced memory GRU network
    2022 108 citations Jianghong Zhou, Yi Qin et al. Advanced Engineering Informatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianghong Zhou China 13 622 323 177 130 118 22 836
Changchang Che China 14 509 0.8× 287 0.9× 193 1.1× 76 0.6× 96 0.8× 30 739
Gaoliang Peng China 7 632 1.0× 411 1.3× 201 1.1× 73 0.6× 83 0.7× 7 792
Dingliang Chen China 10 563 0.9× 324 1.0× 151 0.9× 135 1.0× 91 0.8× 18 778
Jichao Zhuang China 14 604 1.0× 375 1.2× 166 0.9× 73 0.6× 211 1.8× 25 843
Jianyu Wang China 14 600 1.0× 348 1.1× 169 1.0× 71 0.5× 129 1.1× 40 783
Daoming She China 12 511 0.8× 297 0.9× 161 0.9× 68 0.5× 96 0.8× 25 674
Sheng Guo China 8 506 0.8× 265 0.8× 174 1.0× 158 1.2× 63 0.5× 24 691
Zexian Wei China 11 610 1.0× 397 1.2× 209 1.2× 61 0.5× 115 1.0× 24 844

Countries citing papers authored by Jianghong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jianghong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianghong Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jianghong Zhou. A scholar is included among the top collaborators of Jianghong Zhou 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 Jianghong Zhou. Jianghong Zhou 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.
Zhou, Jianghong, et al.. (2025). Remaining Useful Life Prediction Methodologies With Health Indicator Dependence for Rotating Machinery: A Comprehensive Review. IEEE Transactions on Instrumentation and Measurement. 74. 1–19. 8 indexed citations
2.
Zhou, Jianghong, et al.. (2025). Benchmark transformation neural network for health indicator construction under time-varying speed and its application in machinery prognostics. Reliability Engineering & System Safety. 257. 110823–110823. 2 indexed citations
3.
Chen, Dingliang, Jianghong Zhou, & Yi Qin. (2025). Unsupervised Health Indicator Fusing Time and Frequency Domain Information and Its Application to Remaining Useful Life Prediction. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 4 indexed citations
4.
Zhou, Jianghong, Yuejian Chen, & Yi Qin. (2025). Knowledge vortex network for continuous bearing remaining useful life prediction. Advanced Engineering Informatics. 68. 103577–103577.
5.
Zhou, Jianghong, et al.. (2025). Multibranch Horizontal Augmentation Network for Continuous Remaining Useful Life Prediction. IEEE Transactions on Systems Man and Cybernetics Systems. 55(3). 2237–2249. 6 indexed citations
6.
Zhou, Jianghong, et al.. (2024). A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges. Measurement Science and Technology. 35(6). 62001–62001. 15 indexed citations
7.
Zhou, Jianghong, et al.. (2024). A systematic overview of health indicator construction methods for rotating machinery. Engineering Applications of Artificial Intelligence. 138. 109356–109356. 17 indexed citations
8.
Zhou, Jianghong & Yi Qin. (2024). A Continuous Remaining Useful Life Prediction Method With Multistage Attention Convolutional Neural Network and Knowledge Weight Constraint. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 11847–11860. 7 indexed citations
9.
Zhou, Jianghong, et al.. (2024). Continuous Remaining Useful Life Prediction by Self-Guided Attention Convolutional Neural Network and Memory Consciousness Adjustment. IEEE Internet of Things Journal. 11(19). 31947–31958. 9 indexed citations
10.
Qin, Yi, et al.. (2023). Dynamic weighted federated remaining useful life prediction approach for rotating machinery. Mechanical Systems and Signal Processing. 202. 110688–110688. 27 indexed citations
11.
Qin, Yi, et al.. (2023). A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction. Advanced Engineering Informatics. 56. 101973–101973. 76 indexed citations
12.
Qin, Yi, Jianghong Zhou, Dengyu Xiao, Chengjin Qin, & Quan Qian. (2023). High-precision cutterhead torque prediction for tunnel boring machines using an attention-based embedded LSTM neural network. Measurement. 224. 113888–113888. 15 indexed citations
13.
Qian, Quan, Jianghong Zhou, & Yi Qin. (2023). Relationship Transfer Domain Generalization Network for Rotating Machinery Fault Diagnosis Under Different Working Conditions. IEEE Transactions on Industrial Informatics. 19(9). 9898–9908. 132 indexed citations breakdown →
14.
Chen, Lin, Jianghong Zhou, Jing Zhang, Carl Yang, & Eugene Agichtein. (2023). Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting. PubMed. 2023. 128–137. 1 indexed citations
15.
Xiang, Sheng, Jianghong Zhou, Jun Luo, Fuqiang Liu, & Yi Qin. (2023). Cocktail LSTM and Its Application Into Machine Remaining Useful Life Prediction. IEEE/ASME Transactions on Mechatronics. 28(5). 2425–2436. 36 indexed citations
16.
Zhou, Jianghong, Yi Qin, Dingliang Chen, Fuqiang Liu, & Quan Qian. (2022). Remaining useful life prediction of bearings by a new reinforced memory GRU network. Advanced Engineering Informatics. 53. 101682–101682. 108 indexed citations breakdown →
17.
Zhou, Jianghong, Yi Qin, Jun Luo, Shilong Wang, & Tao Zhu. (2022). Dual-Thread Gated Recurrent Unit for Gear Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics. 19(7). 8307–8318. 52 indexed citations
18.
Qin, Yi, Quan Qian, Yi Wang, & Jianghong Zhou. (2022). Intermediate Distribution Alignment and Its Application Into Mechanical Fault Transfer Diagnosis. IEEE Transactions on Industrial Informatics. 18(10). 7305–7315. 36 indexed citations
19.
Qin, Yi, Jianghong Zhou, & Dingliang Chen. (2021). Unsupervised Health Indicator Construction by a Novel Degradation-Trend-Constrained Variational Autoencoder and Its Applications. IEEE/ASME Transactions on Mechatronics. 27(3). 1447–1456. 87 indexed citations
20.
Chen, Dingliang, Yi Qin, Yi Wang, & Jianghong Zhou. (2020). Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction. ISA Transactions. 114. 44–56. 136 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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