Minping Jia

8.4k total citations · 9 hit papers
154 papers, 6.8k citations indexed

About

Minping Jia is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Minping Jia has authored 154 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Control and Systems Engineering, 90 papers in Mechanical Engineering and 48 papers in Mechanics of Materials. Recurrent topics in Minping Jia's work include Machine Fault Diagnosis Techniques (111 papers), Gear and Bearing Dynamics Analysis (52 papers) and Engineering Diagnostics and Reliability (36 papers). Minping Jia is often cited by papers focused on Machine Fault Diagnosis Techniques (111 papers), Gear and Bearing Dynamics Analysis (52 papers) and Engineering Diagnostics and Reliability (36 papers). Minping Jia collaborates with scholars based in China, Canada and Macao. Minping Jia's co-authors include Xiaoan Yan, Yifei Ding, Xiaoli Zhao, Yudong Cao, Peng Ding, Daoming She, Jichao Zhuang, Qiuhua Miao, Zheng Liu and Ying Liu and has published in prestigious journals such as Expert Systems with Applications, Energy Conversion and Management and IEEE Access.

In The Last Decade

Minping Jia

151 papers receiving 6.6k citations

Hit Papers

A novel optimized SVM classification algorithm with multi... 2018 2026 2020 2023 2018 2021 2021 2021 2022 100 200 300 400
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. A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing
    2018 401 citations Xiaoan Yan, Minping Jia profile →
  2. A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
    2021 353 citations Yifei Ding, Minping Jia et al. Mechanical Systems and Signal Processing profile →
  3. A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
    2021 262 citations Yudong Cao, Yifei Ding et al. Reliability Engineering & System Safety profile →
  4. Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings
    2021 183 citations Yifei Ding, Jichao Zhuang et al. Reliability Engineering & System Safety profile →
  5. Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
    2022 167 citations Xiaoli Zhao, Peng Ding et al. profile →
  6. Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
    2022 153 citations Yifei Ding, Minping Jia et al. Reliability Engineering & System Safety profile →
  7. Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
    2021 153 citations Yudong Cao, Minping Jia et al. profile →
  8. DCC-CenterNet: A rapid detection method for steel surface defects
    2021 149 citations Minping Jia et al. profile →
  9. Normalized Conditional Variational Auto-Encoder with adaptive Focal loss for imbalanced fault diagnosis of Bearing-Rotor system
    2022 128 citations Xiaoli Zhao, Minping Jia et al. Mechanical Systems and Signal Processing profile →

Peers

Minping Jia
Comparison fields: 5 of 139
  • Control and Systems Engineering 4.9k
  • Mechanical Engineering 3.2k
  • Mechanics of Materials 1.6k
  • Artificial Intelligence 1.1k
  • Industrial and Manufacturing Engineering 592
Replace Chuang Sun with:
Chuang Sun China
Jinglong Chen China
Baoping Tang China
Hongkai Jiang China
Zhibin Zhao China
Feng Jia China
Liang Guo China
Changqing Shen China
Haidong Shao China
Jong-Myon Kim South Korea
Chuang Sun China View profile →
Citations per field, relative to Minping Jia
Minping Jia · 1×
Citations per year, relative to Minping Jia
Minping Jia · 1×

Countries citing papers authored by Minping Jia

Since Specialization
Citations

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

Fields of papers citing papers by Minping Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minping Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Minping Jia. A scholar is included among the top collaborators of Minping 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 Minping Jia. Minping Jia 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
# Work Indexed citations
1
Deep temporal–spectral domain adaptation for bearing fault diagnosis
2024 ·Knowledge-Based Systems ·Yifei Ding, Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee
11
2
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence
2024 ·Reliability Engineering & System Safety ·Yudong Cao, Jichao Zhuang, Qiuhua Miao, Minping Jia, Ke Feng, Xiaoli Zhao, Xiaoan Yan, Peng Ding
10
3
Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine
2024 ·IEEE Transactions on Instrumentation and Measurement ·(unknown), Qingbo He, Zhi Li, Minping Jia, Moncef Gabbouj, Zhike Peng
3
4
Sensitivity influence of initial crack characteristics on structural damage propagation based on the VB-PCE model and POD reduced order algorithm
2023 ·Reliability Engineering & System Safety ·Lin Zhu, Junhao Wang, (unknown), Min Chen, Minping Jia
5
5
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data
2023 ·Expert Systems with Applications ·Yudong Cao, Minping Jia, Xiaoli Zhao, Xiaoan Yan, Zheng Liu
7
6
Machinery cross domain degradation prognostics considering compound domain shifts
2023 ·Reliability Engineering & System Safety ·Peng Ding, Xiaoli Zhao, Haidong Shao, Minping Jia
24
7
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss
2023 ·Expert Systems with Applications ·Jichao Zhuang, Yudong Cao, Minping Jia, Xiaoli Zhao, Qingjin Peng
9
8
Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery
2023 ·Mechanical Systems and Signal Processing ·Yudong Cao, Minping Jia, Yifei Ding, Xiaoli Zhao, Peng Ding, Liudong Gu
32
9
Analysis Approach for Influencing Factors of Structural Reliability Based on Response Surface Corrected Sensitivity Model
2022 ·Journal of Mechanical Engineering ·(unknown), Peng Wang, Minping Jia, (unknown)
1
10
Hierarchical Symbol Transition Entropy: A Novel Feature Extractor for Machinery Health Monitoring
2021 ·IEEE Transactions on Industrial Informatics ·Cheng Yang, Moncef Gabbouj, Minping Jia, Zhi Li
9
11
A blind deconvolution algorithm based on backward automatic differentiation and its application to rolling bearing fault diagnosis
2021 ·Measurement Science and Technology ·(unknown), Jianzhong Hu, Cheng Yang, Yudong Cao, Minping Jia
23
12
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing
2020 ·IEEE Transactions on Instrumentation and Measurement ·Xiaoli Zhao, Minping Jia, Junchi Bin, Teng Wang, Zheng Liu
49
13
A New Intelligent Weak Fault Recognition Framework for Rotating Machinery
2020 ·The International Journal of Acoustics and Vibration ·Xiaoli Zhao, Minping Jia, Peng Ding, (unknown), Daoming She, (unknown), Zheng Liu
1
14
A Review of Optimal Sensor Deployment to Diagnose Manufacturing Systems
2018 ·IEEE Access ·Kang He, Minping Jia, Conghu Liu
5
15
Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis
2017 ·Chinese Journal of Mechanical Engineering ·Wan Zhang, Minping Jia, Lin Zhu, Xiaoan Yan
58
16
Bispectrum feature extraction of gearbox faults based on nonnegative Tucker3 decomposition with 3D calculations
2013 ·Chinese Journal of Mechanical Engineering ·Haijun Wang, Feiyun Xu, (unknown), Minping Jia, Jianzhong Hu, Peng Huang
4
17
Nonlinear manifold learning based fault classification method
2010 ·Chinese Control Conference ·Quan Jiang, Jiayun Lu, Minping Jia
0
18
Research on the Neural Network in Rotating Machinery Fault Diagnosis
2008 ·Noise and Vibration Control ·Minping Jia
1
19
Study of multi-experts fault diagnosis system
2007 ·Manufacturing Automation ·Minping Jia
1
20
The Fault Diagnosis Expert System for Imported Web Press Based on Case-Based Reasoning Approach
2007 ·Minping Jia
1

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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