Wen Peng

1.1k total citations
86 papers, 761 citations indexed

About

Wen Peng is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Wen Peng has authored 86 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanics of Materials, 57 papers in Mechanical Engineering and 30 papers in Materials Chemistry. Recurrent topics in Wen Peng's work include Metallurgy and Material Forming (60 papers), Microstructure and Mechanical Properties of Steels (26 papers) and Metal Alloys Wear and Properties (22 papers). Wen Peng is often cited by papers focused on Metallurgy and Material Forming (60 papers), Microstructure and Mechanical Properties of Steels (26 papers) and Metal Alloys Wear and Properties (22 papers). Wen Peng collaborates with scholars based in China, Mexico and United Kingdom. Wen Peng's co-authors include Dianhua Zhang, Jie Sun, Jie Sun, Dewen Zhao, Hao Wu, Huaying Li, Qinglong Wang, Jingguo Ding, Dianyao Gong and Chuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Physical Chemistry Chemical Physics.

In The Last Decade

Wen Peng

80 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Peng China 14 523 503 200 132 75 86 761
Mengtao Xu China 21 286 0.5× 747 1.5× 37 0.2× 296 2.2× 72 1.0× 62 959
Duc‐Toan Nguyen Vietnam 16 413 0.8× 682 1.4× 232 1.2× 19 0.1× 44 0.6× 137 936
Dongdong Wei China 15 337 0.6× 505 1.0× 179 0.9× 416 3.2× 12 0.2× 32 779
Shuheng Liao United States 13 105 0.2× 397 0.8× 98 0.5× 40 0.3× 99 1.3× 29 578
Bor‐Tsuen Lin Taiwan 15 149 0.3× 421 0.8× 83 0.4× 41 0.3× 204 2.7× 33 654
Zhendong Liu China 13 155 0.3× 509 1.0× 45 0.2× 130 1.0× 136 1.8× 38 660
Deqiang Zhou China 14 288 0.6× 270 0.5× 40 0.2× 29 0.2× 56 0.7× 45 553
Beatriz González Spain 16 524 1.0× 522 1.0× 286 1.4× 29 0.2× 14 0.2× 82 792
Yuanwu Cai China 9 580 1.1× 173 0.3× 44 0.2× 72 0.5× 51 0.7× 11 852
Carlos Morillo United States 11 240 0.5× 392 0.8× 65 0.3× 368 2.8× 35 0.5× 24 726

Countries citing papers authored by Wen Peng

Since Specialization
Citations

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

Fields of papers citing papers by Wen Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Peng. A scholar is included among the top collaborators of Wen Peng 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 Wen Peng. Wen Peng 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.
Peng, Wen, C. Wei, Jiahui Yang, et al.. (2025). Rolling schedule design for the ESP rolling process based on NSGA-II-DE. ISA Transactions. 158. 427–441. 7 indexed citations
2.
Ding, Jingguo, et al.. (2025). A novel modelling method for rolling force prediction based on deep stochastic configuration networks fused with physical knowledge. Information Sciences. 711. 122097–122097. 2 indexed citations
3.
Wang, Qinglong, et al.. (2025). YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment. Energies. 18(7). 1668–1668. 2 indexed citations
4.
Sun, Jie, et al.. (2025). Application of digital twin for industrial process control: A case study of gauge-looper-tension optimized control in strip hot rolling. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
5.
Wang, Qinglong, Yongjian Li, Shihao Cui, et al.. (2024). Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods. Engineering Applications of Artificial Intelligence. 136. 109078–109078. 4 indexed citations
6.
Peng, Wen, et al.. (2024). A novel deep ensemble reinforcement learning based control method for strip flatness in cold rolling steel industry. Engineering Applications of Artificial Intelligence. 134. 108695–108695. 8 indexed citations
7.
8.
Liu, Yu, et al.. (2024). Industrial Big Data‐Driven Modeling and Prediction for Hot‐Rolled Strip Crown with Multigrade and Multispecification Data. steel research international. 95(7). 3 indexed citations
9.
Peng, Wen, et al.. (2024). A novel cost-sensitive quality determination framework in hot rolling steel industry. Information Sciences. 678. 121054–121054. 1 indexed citations
10.
Wu, Hao, et al.. (2023). Analysis of flatness and critical crown of hot-rolled strip based on thermal–mechanical coupled residual stress analytical model. Applied Mathematical Modelling. 126. 348–380. 9 indexed citations
11.
Yuan, Hao, et al.. (2023). Prediction of strip section shape for hot-rolled based on mechanism fusion data model. Applied Soft Computing. 146. 110670–110670. 21 indexed citations
12.
Zhang, Haoyu, et al.. (2023). Hot deformation behavior of near-β titanium alloy Ti-3Mo-6Cr-3Al-3Sn based on phenomenological constitutive model and machine learning algorithm. Journal of Alloys and Compounds. 968. 172052–172052. 43 indexed citations
13.
Sun, Jie, et al.. (2023). A high-precision and transparent step-wise diagnostic framework for hot-rolled strip crown. Journal of Manufacturing Systems. 71. 144–157. 22 indexed citations
14.
Zhang, Yufeng, Qinglong Wang, Wen Peng, et al.. (2023). Analysis of flatness actuator efficiency in thin strip steel tandem cold rolling by FEM considering the effect of time-varying work roll thermal crown. The International Journal of Advanced Manufacturing Technology. 128(9-10). 4035–4047. 4 indexed citations
15.
Peng, Wen, et al.. (2023). Mathematical modeling and simulated analysis of metal flow behavior during the FGC of ESP rolling process. The International Journal of Advanced Manufacturing Technology. 127(11-12). 5031–5047. 4 indexed citations
16.
Sun, Jie, et al.. (2023). Development of Cold‐Rolling Edge‐Drop Control Technology for Electrical Steel: A Review. steel research international. 94(11). 6 indexed citations
17.
Qin, Zhe, Yuanhong Chen, Ting Chen, et al.. (2023). Improved Luminous Efficiency of AgInS2 Quantum Dots and Zeolitic Imidazolate Framework‐70 Composite for White Light Emitting Diode Applications. Chemistry - A European Journal. 29(45). e202301123–e202301123. 1 indexed citations
18.
Wang, Bingqing, Jialu Xu, Dandan Guo, et al.. (2023). Research on the Relationship between the Amylopectin Structure and the Physicochemical Properties of Starch Extracted from Glutinous Rice. Foods. 12(3). 460–460. 10 indexed citations
19.
Wu, Hao, Jie Sun, Wen Peng, & Dianhua Zhang. (2023). Analytical model for temperature prediction of hot-rolled strip based on symplectic space Hamiltonian system. International Journal of Heat and Mass Transfer. 213. 124350–124350. 8 indexed citations
20.

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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