Pengfei Wen

1.1k total citations
45 papers, 715 citations indexed

About

Pengfei Wen is a scholar working on Control and Systems Engineering, Plant Science and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Pengfei Wen has authored 45 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 9 papers in Plant Science and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Pengfei Wen's work include Fault Detection and Control Systems (13 papers), Machine Fault Diagnosis Techniques (12 papers) and Reliability and Maintenance Optimization (7 papers). Pengfei Wen is often cited by papers focused on Fault Detection and Control Systems (13 papers), Machine Fault Diagnosis Techniques (12 papers) and Reliability and Maintenance Optimization (7 papers). Pengfei Wen collaborates with scholars based in China, Denmark and United States. Pengfei Wen's co-authors include Shaowei Chen, Shuai Zhao, Jun Li, Yong Li, Yong Li, Yuanhong Zhang, Ning Fang, Shulan Wang, Hao Wang and Shengyue Wang and has published in prestigious journals such as Neuroscience, Expert Systems with Applications and IEEE Access.

In The Last Decade

Pengfei Wen

41 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengfei Wen China 14 206 165 147 109 107 45 715
Zhaoxin Li China 14 25 0.1× 143 0.9× 143 1.0× 148 1.4× 179 1.7× 40 850
Haiyang Liu China 14 180 0.9× 42 0.3× 84 0.6× 10 0.1× 9 0.1× 62 567
Mengtao Zhu China 12 51 0.2× 40 0.2× 82 0.6× 53 0.5× 13 0.1× 33 516
Davide Tarsitano Italy 17 123 0.6× 28 0.2× 49 0.3× 13 0.1× 18 0.2× 57 794
Ilyа Ioslovich Israel 16 204 1.0× 345 2.1× 129 0.9× 7 0.1× 9 0.1× 67 753
Sen Wang China 15 55 0.3× 114 0.7× 91 0.6× 7 0.1× 62 0.6× 61 596
Narayan Bhusal United States 10 262 1.3× 103 0.6× 10 0.1× 140 1.3× 11 0.1× 35 646
Xinhua Zhao China 16 395 1.9× 116 0.7× 35 0.2× 3 0.0× 30 0.3× 132 900
Ryunosuke Hamada Japan 11 28 0.1× 64 0.4× 119 0.8× 10 0.1× 14 0.1× 39 393

Countries citing papers authored by Pengfei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Wen. A scholar is included among the top collaborators of Pengfei Wen 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 Pengfei Wen. Pengfei Wen 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
2.
Zhang, Ming, Peng Xu, Pengfei Wen, et al.. (2025). Genetic causal assessment between major depression and hypertension: A two-sample bidirectional Mendelian randomization study. Clinical and Experimental Hypertension. 47(1). 2553507–2553507. 1 indexed citations
3.
Yang, Mingyi, et al.. (2025). Is the occurrence of deep vein thrombosis related to the fracture site? A two-sample Mendelian randomization study. Expert Review of Hematology. 18(2). 155–165. 1 indexed citations
4.
Yang, Mingyi, et al.. (2025). Viral infections of the central nervous system increase the risk of knee osteoarthritis: a two-sample mendelian randomization study. Aging Clinical and Experimental Research. 37(1). 30–30. 1 indexed citations
5.
Wen, Pengfei, et al.. (2024). Efficient Analysis of Radio Wave Propagation for Complex Network Environments Using Improved DGTD Method. IEEE Transactions on Antennas and Propagation. 72(7). 5923–5934.
6.
Wu, Ke, Lingyun Li, Jinghui Wang, et al.. (2024). Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields. Agronomy. 14(11). 2569–2569. 3 indexed citations
7.
Zhang, Jing, et al.. (2023). Remaining Useful Life Prediction Method Based on Convolutional Neural Network and Long Short-Term Memory Neural Network. VBN Forskningsportal (Aalborg Universitet). 4 indexed citations
8.
Chen, Shaowei, et al.. (2023). Remaining Useful Life Prognostics and Uncertainty Quantification for Aircraft Engines Based on Convolutional Bayesian Long Short-Term Memory Neural Network. VBN Forskningsportal (Aalborg Universitet). 1050. 238–244. 3 indexed citations
9.
Wen, Pengfei, et al.. (2023). Role of Sports Based on Big Data Analysis in Promoting the Physique and Health of Children and Adolescents. Data Intelligence. 5(4). 947–961. 1 indexed citations
10.
Zhang, Pengfei, et al.. (2023). VvAGAMOUS Affect Development of Four Different Grape Species Ovary. Phyton. 92(4). 1125–1138.
11.
Wang, Jun, et al.. (2023). Screening crucial lncRNAs and genes in osteoarthritis by integrated analysis. Advances in Rheumatology. 63(1). 7–7. 1 indexed citations
12.
Yang, Ning, et al.. (2022). Remaining Useful Life Prediction of Electromechanical Equipment based on Particle Filter and LSTM. VBN Forskningsportal (Aalborg Universitet). 87–91. 2 indexed citations
13.
Chen, Shaowei, et al.. (2021). A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System. IEEE Access. 9. 28842–28855. 2 indexed citations
14.
Wen, Pengfei, Yong Li, Shaowei Chen, & Shuai Zhao. (2021). Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources. IEEE Internet of Things Journal. 8(11). 9045–9058. 51 indexed citations
15.
Zhao, Shuai, et al.. (2020). Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine. VBN Forskningsportal (Aalborg Universitet). 1–8. 14 indexed citations
16.
Wen, Pengfei, Shuai Zhao, Shaowei Chen, & Yong Li. (2020). A generalized remaining useful life prediction method for complex systems based on composite health indicator. Reliability Engineering & System Safety. 205. 107241–107241. 101 indexed citations
17.
Wen, Pengfei, et al.. (2019). Estimating leaf nitrogen concentration considering unsynchronized maize growth stages with canopy hyperspectral technique. Ecological Indicators. 107. 105590–105590. 35 indexed citations
18.
Zhang, Yuanhong, Rui Wang, Shulan Wang, et al.. (2019). Effect of planting density on deep soil water and maize yield on the Loess Plateau of China. Agricultural Water Management. 223. 105655–105655. 40 indexed citations
19.
Zhang, Yujiao, Shulan Wang, Hao Wang, et al.. (2018). The effects of rotating conservation tillage with conventional tillage on soil properties and grain yields in winter wheat-spring maize rotations. Agricultural and Forest Meteorology. 263. 107–117. 73 indexed citations
20.
Sosa, Miguel A. Gama, Pengfei Wen, Rita De Gasperi, et al.. (2004). Entorhinal cortex lesioning promotes neurogenesis in the hippocampus of adult mice. Neuroscience. 127(4). 881–891. 18 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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