Zhen Jia

1.1k total citations · 1 hit paper
52 papers, 758 citations indexed

About

Zhen Jia is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Zhen Jia has authored 52 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 20 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Zhen Jia's work include Fault Detection and Control Systems (13 papers), Machine Fault Diagnosis Techniques (13 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Zhen Jia is often cited by papers focused on Fault Detection and Control Systems (13 papers), Machine Fault Diagnosis Techniques (13 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). Zhen Jia collaborates with scholars based in China, Macao and United States. Zhen Jia's co-authors include Zhenbao Liu, Chi‐Man Vong, Michael Pecht, Haidong Shao, Ke Zhao, Feng Jia, Shengdong Wang, Junwei Han, Xiaojun Tang and Shuhui Bu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhen Jia

43 papers receiving 724 citations

Hit Papers

align trajectories

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.

Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine

2023 148 citations Zhen Jia et al. Engineering Applications of Artificial Intelligence profile →

Peers

Zhen Jia

CSE

EEE

Cheol Hong Kim South Korea

Lanjun Wan China

Xianfeng Yuan China

Shimeng Wu China

Jesús Lázaro Spain

Andreas Schwung Germany

Riccardo Ferrari Netherlands

Shuai Zheng China

Clemens Gühmann Germany

Cheol Hong Kim South Korea

Zhen Jia

588 ×1.4

CSE

183 ×0.9

EEE

427 ×2.6

110 ×0.7

202 ×1.8

Citations per year, relative to Zhen Jia Zhen Jia (= 1×) peers Cheol Hong Kim

Countries citing papers authored by Zhen Jia

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Jia

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

All Works

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20 of 20 papers shown

Jia, Zhen, et al.. (2025). Joint Prediction of SOH and RUL for Lithium Batteries Considering Capacity Self Recovery and Model Drift. IEEE Internet of Things Journal. 12(12). 22187–22196. 2 indexed citations

Jia, Zhen, et al.. (2025). An Incremental Learning Framework for Mechanical Fault Diagnosis With Bi-Level Multiscale Convolutional Attention. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations

Jia, Zhen, et al.. (2025). MTL-TBARNet: a multi-task learning method for transmission line fault diagnosis based on adaptive threshold residual denoising and residual attention mechanisms. Measurement Science and Technology. 36(4). 46122–46122. 2 indexed citations

Jia, Zhen, et al.. (2025). Graph Convolutional Contrastive Learning for Few-Shot Open-Set Fault Diagnosis in Electro-Hydrostatic Actuators. IEEE Transactions on Aerospace and Electronic Systems. 62. 3076–3092.

Liu, Zhenbao, et al.. (2025). Bidirectional Cross-Attention Domain Adaption Transformer Network for Aircraft EMA Fault Diagnosis Under Varying Working Conditions. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 9584–9600.

Liu, Zhenbao, et al.. (2025). Application of a Multimodal Deep Learning Model Based on Recursive Fusion Feature Map With Transformer–TCN for Complex Fault Diagnosis of Flying Wing UAV Actuators. IEEE Transactions on Instrumentation and Measurement. 74. 1–17. 1 indexed citations

Liu, Zhenbao, et al.. (2025). Dynamic-static transfer-aware dual attention network for cross-domain diagnosis of compressor components. Measurement Science and Technology. 36(7). 76128–76128. 1 indexed citations

Jia, Zhen, et al.. (2025). Lightweight Fault Diagnosis via Siamese Network for Few-Shot EHA Circuit Analysis. IEEE Transactions on Aerospace and Electronic Systems. 61(6). 15585–15596. 3 indexed citations

Jia, Zhen, et al.. (2025). A heterogeneous ensemble learning diagnosis scheme for limited fault sample scenarios in transmission lines. Engineering Research Express. 7(2). 25418–25418. 1 indexed citations

10.

Wang, Shengdong, et al.. (2024). Fault Detection for UAVs With Spatial-Temporal Learning on Multivariate Flight Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–17. 8 indexed citations

11.

Liu, Zhenbao, et al.. (2024). Fault Diagnosis Strategy for Flight Control Rudder Circuit Based on SHAP Interpretable Analysis Optimization Transformer With Attention Mechanism. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 6 indexed citations

12.

Zhao, Ke, et al.. (2024). Self-paced decentralized federated transfer framework for rotating machinery fault diagnosis with multiple domains. Mechanical Systems and Signal Processing. 211. 111258–111258. 25 indexed citations

13.

Wang, Shengdong, et al.. (2023). Intermittent fault diagnosis of analog circuit based on enhanced one-dimensional vision transformer and transfer learning strategy. Engineering Applications of Artificial Intelligence. 127. 107281–107281. 11 indexed citations

14.

Wang, Shengdong, et al.. (2023). Intermittent fault diagnosis for electronics-rich analog circuit systems based on multi-scale enhanced convolution transformer network with novel token fusion strategy. Expert Systems with Applications. 238. 121964–121964. 18 indexed citations

15.

Jia, Zhen, et al.. (2023). Fault Diagnosis in a 10 kV Transmission Line Using a One-Dimensional Convolutional Neural Network Embedded with a Mish Activation Function. 533–537. 1 indexed citations

16.

Jia, Zhen, et al.. (2022). A multi-channel data-based fault diagnosis method integrating deep learning strategy for aircraft sensor system. Measurement Science and Technology. 34(2). 25115–25115. 9 indexed citations

17.

Jia, Zhen, et al.. (2020). A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems. IEEE Transactions on Industrial Electronics. 68(10). 10087–10096. 49 indexed citations

18.

Jia, Zhen, Zhenbao Liu, Chi‐Man Vong, & Michael Pecht. (2019). A Rotating Machinery Fault Diagnosis Method Based on Feature Learning of Thermal Images. IEEE Access. 7. 12348–12359. 94 indexed citations

19.

Jia, Zhen, Zhenbao Liu, Chi‐Man Vong, & Xin Liu. (2019). Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC–DC Converters. IEEE Access. 7. 67996–68009. 10 indexed citations

20.

Guo, Dongming, et al.. (2009). Advances in Materials Manufacturing Science and Technology XIII Volume I. Trans Tech Publications Ltd. eBooks. 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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