Xuefeng Yan

8.2k total citations · 2 hit papers
278 papers, 6.8k citations indexed

About

Xuefeng Yan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Xuefeng Yan has authored 278 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Control and Systems Engineering, 131 papers in Mechanical Engineering and 75 papers in Analytical Chemistry. Recurrent topics in Xuefeng Yan's work include Fault Detection and Control Systems (175 papers), Mineral Processing and Grinding (126 papers) and Spectroscopy and Chemometric Analyses (75 papers). Xuefeng Yan is often cited by papers focused on Fault Detection and Control Systems (175 papers), Mineral Processing and Grinding (126 papers) and Spectroscopy and Chemometric Analyses (75 papers). Xuefeng Yan collaborates with scholars based in China, United States and Canada. Xuefeng Yan's co-authors include Qingchao Jiang, Biao Huang, Qinqin Fan, Jian Huang, Chudong Tong, Zhichao Li, Shifu Yan, Bei Wang, Jinlong Zhang and Lingzhi Wang and has published in prestigious journals such as Advanced Functional Materials, Applied Catalysis B: Environmental and Chemical Communications.

In The Last Decade

Xuefeng Yan

268 papers receiving 6.7k citations

Hit Papers

Performance-Driven Distributed PCA Process Monitoring Bas... 2015 2026 2018 2022 2015 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuefeng Yan China 44 4.7k 2.9k 1.5k 1.3k 1.0k 278 6.8k
Raghunathan Rengaswamy United States 40 6.6k 1.4× 2.4k 0.8× 755 0.5× 954 0.7× 1.4k 1.4× 190 8.6k
Zhiqiang Ge China 56 9.7k 2.1× 5.3k 1.8× 2.5k 1.7× 2.2k 1.7× 2.0k 2.0× 258 12.0k
Furong Gao Hong Kong 63 10.6k 2.3× 5.2k 1.8× 1.5k 1.0× 845 0.6× 1.1k 1.1× 491 14.9k
In−Beum Lee South Korea 41 5.3k 1.1× 3.1k 1.1× 1.9k 1.3× 321 0.2× 997 1.0× 202 7.0k
Yalin Wang China 40 4.1k 0.9× 2.0k 0.7× 569 0.4× 1.8k 1.4× 307 0.3× 232 6.0k
Zhihuan Song China 48 6.6k 1.4× 3.6k 1.2× 1.8k 1.2× 1.1k 0.9× 1.4k 1.4× 272 7.7k
Junghui Chen Taiwan 35 3.2k 0.7× 1.7k 0.6× 774 0.5× 590 0.4× 465 0.5× 287 4.8k
Xiaofeng Yuan China 43 4.4k 0.9× 2.0k 0.7× 678 0.5× 1.8k 1.4× 343 0.3× 140 6.0k
Christos Georgakis United States 35 3.8k 0.8× 1.5k 0.5× 754 0.5× 238 0.2× 561 0.6× 174 5.0k
Weihua Gui China 44 3.9k 0.8× 1.5k 0.5× 364 0.2× 1.3k 0.9× 229 0.2× 293 6.5k

Countries citing papers authored by Xuefeng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xuefeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuefeng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xuefeng Yan. A scholar is included among the top collaborators of Xuefeng Yan 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 Xuefeng Yan. Xuefeng Yan 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.
Wang, Xueting, et al.. (2024). A data enhancement method based on generative adversarial network for small sample-size with soft sensor application. Computers & Chemical Engineering. 186. 108707–108707. 6 indexed citations
2.
Yan, Xuefeng, et al.. (2024). A multi-scale low rank convolutional autoencoder for process monitoring of nonlinear uncertain systems. Process Safety and Environmental Protection. 188. 53–63. 3 indexed citations
3.
Yan, Xuefeng, et al.. (2024). Multi-objective sand cat swarm optimization based on adaptive clustering for solving multimodal multi-objective optimization problems. Mathematics and Computers in Simulation. 227. 391–404. 5 indexed citations
4.
Yan, Xuefeng, et al.. (2024). Node importance evaluation method of complex network based on the fusion gravity model. Chaos Solitons & Fractals. 183. 114924–114924. 17 indexed citations
5.
Guo, Hongfei, et al.. (2024). Modeling and vulnerability analysis of military communication network based on complex network. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 42(6). 1126–1134. 1 indexed citations
6.
Li, Zhichao, et al.. (2024). A novel monitoring method based on multi-model information extraction and fusion. Measurement Science and Technology. 35(4). 45903–45903. 2 indexed citations
7.
Yan, Xuefeng, et al.. (2024). PointeNet: A lightweight framework for effective and efficient point cloud analysis. Computer Aided Geometric Design. 110. 102311–102311. 2 indexed citations
8.
Dong, Yufeng & Xuefeng Yan. (2024). Novel Multi-flow Multi-scale Convolutional Neural Network Developed for Quality Prediction of Batch Processes to Fuse Data With Different Sampling Frequencies. International Journal of Control Automation and Systems. 22(6). 2016–2028. 1 indexed citations
9.
Jiang, Qingchao, et al.. (2024). Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application. Knowledge-Based Systems. 301. 112341–112341. 6 indexed citations
11.
Sun, Yifei, Yufeng Dong, & Xuefeng Yan. (2023). Attention-based LSTM Block Model Framework based on static and dynamic variables for modeling fuel ethanol fermentation process. Biochemical Engineering Journal. 199. 109049–109049. 2 indexed citations
12.
Hu, Neng, Bin Hong, Xuefeng Yan, et al.. (2023). Hybrid Hydrogel-Based Skin Health Monitor for Tracing Solar UV Radiation in Aqueous Environments. ACS Applied Polymer Materials. 5(9). 7528–7538. 20 indexed citations
13.
Chen, Xiaoliang, et al.. (2023). Field Trial of Autonomous Lightpath Provisioning Over an SDM Network Using 7-Core Fibers. Journal of Lightwave Technology. 42(3). 1151–1158. 1 indexed citations
14.
Li, Zhichao, et al.. (2023). Ensemble Monitoring Model Based on Multi-Subspace Partition of Deep Features. IEEE Access. 11. 128911–128922. 1 indexed citations
15.
Fang, Zheng, Junfeng Zhang, Xuefeng Yan, et al.. (2022). Simultaneous and Efficient Removal of Oleophilic and Hydrophilic Stains from Polyurethane by the Combination of Easy-Cleaning and Self-Cleaning. ACS Applied Materials & Interfaces. 14(14). 16641–16648. 9 indexed citations
16.
Jiang, Yurong, Shengyi Yang, Yong Zhang, et al.. (2019). ZnO nanorods array as light absorption antenna for high-gain UV photodetectors. Journal of Alloys and Compounds. 812. 152158–152158. 51 indexed citations
17.
Li, Zhichao & Xuefeng Yan. (2019). Fault-Relevant Optimal Ensemble ICA Model for Non-Gaussian Process Monitoring. IEEE Transactions on Control Systems Technology. 28(6). 2581–2590. 39 indexed citations
19.
Wang, Jinhua, et al.. (2017). EXPLORATION AND UNDERSTANDING FOR WATER HAZARD IN BUDDHA BAY OF BAODING MOUNTAIN, DAZU ROCK CARVINGS. 工程地质学报. 25. 54–62. 1 indexed citations
20.
Yan, Xuefeng, et al.. (2015). Chlorophyll-a Predicting Model Based on Dynamic Neural Network. Applied Artificial Intelligence. 29(10). 962–978. 16 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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