Xiaolei Fang

921 total citations
34 papers, 714 citations indexed

About

Xiaolei Fang is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Industrial and Manufacturing Engineering. According to data from OpenAlex, Xiaolei Fang has authored 34 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 10 papers in Safety, Risk, Reliability and Quality and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Xiaolei Fang's work include Fault Detection and Control Systems (10 papers), Reliability and Maintenance Optimization (10 papers) and Machine Fault Diagnosis Techniques (7 papers). Xiaolei Fang is often cited by papers focused on Fault Detection and Control Systems (10 papers), Reliability and Maintenance Optimization (10 papers) and Machine Fault Diagnosis Techniques (7 papers). Xiaolei Fang collaborates with scholars based in United States, China and Hong Kong. Xiaolei Fang's co-authors include Nagi Gebraeel, Kamran Paynabar, Lifeng Xi, Tangbin Xia, Zheming Gao, Ershun Pan, Yaguo Lei, Tao Yan, Naipeng Li and Xiao Cai and has published in prestigious journals such as Technometrics, Journal of Agricultural and Food Chemistry and European Journal of Operational Research.

In The Last Decade

Xiaolei Fang

31 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolei Fang United States 15 305 238 118 99 94 34 714
Mohamed-Salah Ouali Canada 13 302 1.0× 246 1.0× 151 1.3× 83 0.8× 129 1.4× 38 726
Michele Compare Italy 21 387 1.3× 494 2.1× 115 1.0× 138 1.4× 338 3.6× 58 1.2k
Jiangbin Zhao China 16 202 0.7× 372 1.6× 95 0.8× 69 0.7× 262 2.8× 54 684
Ramin Moghaddass United States 17 330 1.1× 603 2.5× 69 0.6× 45 0.5× 208 2.2× 37 1.0k
Andrea Schirru Italy 14 377 1.2× 123 0.5× 133 1.1× 408 4.1× 167 1.8× 24 926
Zhengguo Xu China 18 633 2.1× 530 2.2× 292 2.5× 49 0.5× 186 2.0× 60 1.2k
Simone Pampuri Italy 15 388 1.3× 125 0.5× 136 1.2× 421 4.3× 173 1.8× 24 947
Jun‐Geol Baek South Korea 16 287 0.9× 51 0.2× 144 1.2× 290 2.9× 127 1.4× 94 910
Enno Ruijters Netherlands 5 106 0.3× 181 0.8× 40 0.3× 31 0.3× 230 2.4× 7 534
Kondo H. Adjallah France 13 95 0.3× 198 0.8× 61 0.5× 91 0.9× 131 1.4× 73 620

Countries citing papers authored by Xiaolei Fang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Fang. A scholar is included among the top collaborators of Xiaolei Fang 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 Xiaolei Fang. Xiaolei Fang 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.
Xia, Tangbin, Yimin Jiang, Jianhua Wu, et al.. (2025). Deep Complex Wavelet Denoising Network for Interpretable Fault Diagnosis of Industrial Robots With Noise Interference and Imbalanced Data. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
2.
Fang, Xiaolei, et al.. (2025). Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes. Journal of Computing and Information Science in Engineering. 25(4). 1 indexed citations
3.
Fang, Shu‐Cherng, et al.. (2024). A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. European Journal of Operational Research. 316(1). 46–60. 8 indexed citations
4.
Wang, Zhe, et al.. (2024). Image-based remaining useful life prediction through adaptation from simulation to experimental domain. Reliability Engineering & System Safety. 255. 110668–110668. 1 indexed citations
5.
Fang, Shu‐Cherng, et al.. (2024). Distributionally robust chance-constrained kernel-based support vector machine. Computers & Operations Research. 170. 106755–106755. 3 indexed citations
6.
Fang, Xiaolei, et al.. (2024). Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol. Journal of Manufacturing Systems. 76. 59–74. 1 indexed citations
7.
8.
Fang, Xiaolei, et al.. (2024). A federated data fusion-based prognostic model for applications with multi-stream incomplete signals. IISE Transactions. 57(6). 655–675.
9.
Jiang, Yimin, Tangbin Xia, Xiaolei Fang, et al.. (2023). Sparse Hierarchical Parallel Residual Networks Ensemble for Infrared Image Stream-Based Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics. 19(10). 10613–10623. 7 indexed citations
10.
Fang, Xiaolei, Yanping Chen, He Chen, et al.. (2023). Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew). Foods. 12(16). 3123–3123. 6 indexed citations
11.
Fang, Xiaolei, et al.. (2023). Systems and methods for authenticating manufacturing Machines through an unobservable fingerprinting system. Manufacturing Letters. 35. 1009–1018. 3 indexed citations
12.
Chen, Yan Ping, et al.. (2023). Odorants Identified in Chinese Dry-Cured Ham Contribute to Salty Taste Enhancement. Journal of Agricultural and Food Chemistry. 72(1). 613–624. 19 indexed citations
13.
Jiang, Yimin, Tangbin Xia, Dong Wang, Xiaolei Fang, & Lifeng Xi. (2022). Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics. 18(10). 7219–7229. 46 indexed citations
14.
Chen, Yanping, et al.. (2022). Fast and Non-Destructive Profiling of Commercial Coffee Aroma under Three Conditions (Beans, Powder, and Brews) Using GC-IMS. Molecules. 27(19). 6262–6262. 7 indexed citations
15.
Fang, Xiaolei, et al.. (2021). Distributionally Robust Optimization: A review on theory and applications. Numerical Algebra Control and Optimization. 12(1). 159–159. 71 indexed citations
16.
Xia, Tangbin, et al.. (2021). Integrated Remanufacturing and Opportunistic Maintenance Decision-Making for Leased Batch Production Lines. Journal of Manufacturing Science and Engineering. 143(8). 17 indexed citations
17.
Fang, Xiaolei, et al.. (2021). Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process. Journal of Manufacturing Systems. 61. 375–390. 10 indexed citations
18.
Li, Naipeng, Nagi Gebraeel, Yaguo Lei, et al.. (2020). Remaining useful life prediction based on a multi-sensor data fusion model. Reliability Engineering & System Safety. 208. 107249–107249. 113 indexed citations
19.
Xia, Tangbin, Xiaolei Fang, Nagi Gebraeel, Lifeng Xi, & Ershun Pan. (2019). Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization. Journal of Manufacturing Science and Engineering. 141(5). 44 indexed citations
20.
Fang, Xiaolei, Kamran Paynabar, & Nagi Gebraeel. (2016). Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliability Engineering & System Safety. 159. 322–331. 80 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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