Min Xia

6.4k total citations · 10 hit papers
112 papers, 4.4k citations indexed

About

Min Xia is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Min Xia has authored 112 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Control and Systems Engineering, 40 papers in Mechanical Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Min Xia's work include Machine Fault Diagnosis Techniques (45 papers), Fault Detection and Control Systems (26 papers) and Gear and Bearing Dynamics Analysis (12 papers). Min Xia is often cited by papers focused on Machine Fault Diagnosis Techniques (45 papers), Fault Detection and Control Systems (26 papers) and Gear and Bearing Dynamics Analysis (12 papers). Min Xia collaborates with scholars based in China, United Kingdom and Canada. Min Xia's co-authors include Clarence W. de Silva, Jiafu Wan, Haidong Shao, Teng Li, Lin Xu, Lizhi Liu, Changqing Shen, Dong Wang, Yu Zhang and Guangjie Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Expert Systems with Applications.

In The Last Decade

Min Xia

102 papers receiving 4.2k citations

Hit Papers

Fault Diagnosis for Rotating Machinery Using Multiple Sen... 2017 2026 2020 2023 2017 2020 2021 2020 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Xia China 29 2.5k 1.6k 886 657 643 112 4.4k
Clarence W. de Silva Canada 32 2.1k 0.8× 1.3k 0.8× 493 0.6× 731 1.1× 823 1.3× 214 4.6k
Long Wen China 25 3.2k 1.3× 1.8k 1.1× 951 1.1× 986 1.5× 467 0.7× 78 4.9k
Zhibin Zhao China 40 4.0k 1.6× 2.2k 1.4× 1.1k 1.2× 1.3k 2.0× 913 1.4× 148 6.3k
Te Han China 32 3.1k 1.2× 1.7k 1.1× 917 1.0× 826 1.3× 604 0.9× 90 4.4k
V. Sugumaran India 34 2.3k 0.9× 1.9k 1.2× 828 0.9× 534 0.8× 596 0.9× 184 4.3k
Hongtian Chen China 30 2.4k 1.0× 936 0.6× 244 0.3× 706 1.1× 548 0.9× 178 3.5k
René–Vinicio Sánchez Ecuador 30 3.2k 1.3× 2.1k 1.4× 1.2k 1.3× 517 0.8× 303 0.5× 112 4.3k
Jinglong Chen China 45 5.4k 2.2× 3.0k 1.9× 1.6k 1.8× 1.4k 2.1× 746 1.2× 188 7.1k
Bin Zhang China 43 3.0k 1.2× 1.2k 0.8× 446 0.5× 620 0.9× 2.1k 3.2× 360 6.4k
Chuang Sun China 44 5.2k 2.1× 2.8k 1.8× 1.5k 1.7× 1.5k 2.3× 669 1.0× 127 7.2k

Countries citing papers authored by Min Xia

Since Specialization
Citations

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

Fields of papers citing papers by Min Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Min Xia. A scholar is included among the top collaborators of Min Xia 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 Min Xia. Min Xia 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.
Yan, Tongtong, et al.. (2025). Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring. Information Fusion. 117. 102935–102935. 5 indexed citations
2.
Zhao, Dandan, et al.. (2025). A Novel Semi-Supervised Fault Diagnosis Method for Unbalanced Data. IEEE Internet of Things Journal. 12(6). 7599–7609. 1 indexed citations
3.
Chen, Haili, et al.. (2025). Iron Ore Information Extraction Based on CNN-LSTM Composite Deep Learning Model. IEEE Access. 13. 42296–42311. 2 indexed citations
4.
6.
7.
Chen, Wenhe, et al.. (2023). Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 17 indexed citations
8.
Ma, Mengchao, et al.. (2023). Computational Framework for Turbid Water Single-Pixel Imaging by Polynomial Regression and Feature Enhancement. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 9 indexed citations
9.
Lu, Jingfeng, et al.. (2023). Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 24 indexed citations
10.
Zhang, Xiaohan, Min Xia, Chen Zhang, & Yaowu Hu. (2023). Multistage laser shock improves surface structural properties of aluminum alloy. International Journal of Mechanical Sciences. 245. 108101–108101. 18 indexed citations
11.
Jiang, Feilong, Min Xia, & Yaowu Hu. (2023). Physics-Informed Machine Learning for Accurate Prediction of Temperature and Melt Pool Dimension in Metal Additive Manufacturing. 3D Printing and Additive Manufacturing. 11(4). e1679–e1689. 21 indexed citations
12.
Chen, Wenhe, et al.. (2023). Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network. Journal of Intelligent Manufacturing. 35(7). 3523–3542. 12 indexed citations
13.
Chen, Wenhe, et al.. (2022). Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. International Journal of Production Research. 61(23). 8252–8264. 27 indexed citations
14.
Wang, Xiaoxian, et al.. (2022). Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System. IEEE Internet of Things Journal. 10(8). 7393–7404. 14 indexed citations
15.
Shao, Haidong, Wei Li, Min Xia, et al.. (2021). Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 54 indexed citations
16.
Shao, Haidong, Min Xia, Jiafu Wan, & Clarence W. de Silva. (2021). Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery. IEEE/ASME Transactions on Mechatronics. 27(1). 24–33. 170 indexed citations breakdown →
17.
Xia, Min, Haidong Shao, Xiandong Ma, & Clarence W. de Silva. (2021). A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation. IEEE Transactions on Industrial Informatics. 17(10). 7050–7059. 260 indexed citations breakdown →
18.
Wang, Xiaoxian, Hui Wang, Min Xia, et al.. (2021). Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils. IEEE Transactions on Industrial Informatics. 18(12). 9271–9282. 11 indexed citations
19.
Li, Teng, et al.. (2019). Information-Based Hierarchical Planning for a Mobile Sensing Network in Environmental Mapping. IEEE Systems Journal. 14(2). 1692–1703. 3 indexed citations
20.
Xia, Min, Teng Li, Tongxin Shu, et al.. (2018). A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks. IEEE Transactions on Industrial Informatics. 15(6). 3703–3711. 241 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026