Pengfei Dang

890 total citations
61 papers, 646 citations indexed

About

Pengfei Dang is a scholar working on Civil and Structural Engineering, Materials Chemistry and Geophysics. According to data from OpenAlex, Pengfei Dang has authored 61 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 19 papers in Materials Chemistry and 18 papers in Geophysics. Recurrent topics in Pengfei Dang's work include Seismic Performance and Analysis (21 papers), Shape Memory Alloy Transformations (16 papers) and Seismic Waves and Analysis (13 papers). Pengfei Dang is often cited by papers focused on Seismic Performance and Analysis (21 papers), Shape Memory Alloy Transformations (16 papers) and Seismic Waves and Analysis (13 papers). Pengfei Dang collaborates with scholars based in China and Hong Kong. Pengfei Dang's co-authors include Xiangdong Ding, Dezhen Xue, Yumei Zhou, Turab Lookman, Jie Cui, Jun Sun, Jun Sun, Shengwu Guo, Wei Fu and Zijun Ren and has published in prestigious journals such as Advanced Materials, Nature Communications and Applied Physics Letters.

In The Last Decade

Pengfei Dang

55 papers receiving 625 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 Dang China 16 285 241 148 92 90 61 646
Wentao Liu China 10 101 0.4× 165 0.7× 15 0.1× 56 0.6× 12 0.1× 31 356
Ali Ghaffari Iran 9 42 0.1× 227 0.9× 437 3.0× 64 0.7× 9 0.1× 22 751
Gu-Young Kwon South Korea 14 223 0.8× 258 1.1× 129 0.9× 194 2.1× 3 0.0× 39 744
Andrzej Wieczorek Poland 12 498 1.7× 435 1.8× 50 0.3× 21 0.2× 6 0.1× 78 736
Rozina Steigmann Romania 10 31 0.1× 187 0.8× 51 0.3× 26 0.3× 12 0.1× 58 422
Haoyu Zhang China 13 78 0.3× 228 0.9× 73 0.5× 31 0.3× 7 0.1× 32 387
Vinamra Agrawal United States 12 94 0.3× 110 0.5× 37 0.3× 5 0.1× 12 0.1× 26 381
Tim Schmidt United States 9 103 0.4× 130 0.5× 124 0.8× 12 0.1× 5 0.1× 18 432
Arthur Lebée France 16 62 0.2× 329 1.4× 393 2.7× 68 0.7× 4 0.0× 40 685
Zhengmao Yang China 16 130 0.5× 232 1.0× 87 0.6× 20 0.2× 5 0.1× 49 522

Countries citing papers authored by Pengfei Dang

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Dang. A scholar is included among the top collaborators of Pengfei Dang 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 Dang. Pengfei Dang 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.
Dang, Pengfei, et al.. (2025). Wide-temperature superelasticity in a dual-phase Nb-doped TiNiCuHf high entropy strain glass alloy. Scripta Materialia. 261. 116609–116609. 2 indexed citations
2.
Zhang, Yan, Cheng Wen, Pengfei Dang, et al.. (2025). Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys. npj Computational Materials. 11(1). 2 indexed citations
3.
Wang, Yunfan, Pengfei Dang, Yumei Zhou, et al.. (2025). Uncertainty-aware multi-objective optimization for high work output and low hysteresis in TiNiCuHfCo shape memory alloys. Journal of Material Science and Technology. 243. 220–227. 1 indexed citations
4.
Dang, Pengfei, Yiming Li, Xi Zhang, et al.. (2024). Efficient roller-driven elastocaloric refrigerator. Nature Communications. 15(1). 7203–7203. 12 indexed citations
5.
Dang, Pengfei, et al.. (2024). Expansion deformation mechanism and cracking behaviours of chromium-coated zirconium alloy cladding at room temperature. Surface and Coatings Technology. 492. 131241–131241.
6.
Tian, Jin, Pengfei Dang, Zhangjie Wang, et al.. (2024). Attainment of large thermal hysteresis and good thermal cyclic stability in multi-component TiHfZrNi alloys. Scripta Materialia. 249. 116164–116164. 2 indexed citations
7.
Dang, Pengfei, Lei Zhang, Yumei Zhou, et al.. (2024). Multi-doping effect on the martensitic transformation behavior of shape memory alloys. Applied Physics Letters. 125(4). 1 indexed citations
8.
Wang, Ruikang K., et al.. (2024). Assessment of applicability of equivalent linear and nonlinear analysis methods for site response analysis in deep soil Site. Japanese Geotechnical Society Special Publication. 10(14). 411–416.
9.
Tian, Yuan, et al.. (2024). Noise‐Aware Active Learning to Develop High‐Temperature Shape Memory Alloys with Large Latent Heat. Advanced Science. 11(44). e2406216–e2406216. 4 indexed citations
10.
Wan, Chenxi, Hao Yang, Qi Wang, et al.. (2024). Insights into starch synthesis and amino acid composition of common buckwheat in response to phosphate fertilizer management strategies. International Journal of Biological Macromolecules. 275(Pt 1). 133587–133587. 4 indexed citations
11.
Dang, Pengfei, Jie Cui, Hongfeng Yang, & Jian Song. (2023). Regional spectral characteristics, quality factor and site responses in western-central Sichuan, China (I): Application of parametric generalized inversion technique. Soil Dynamics and Earthquake Engineering. 176. 108303–108303. 1 indexed citations
12.
Dang, Pengfei, et al.. (2023). Influence of source uncertainty on stochastic ground motion simulation: a case study of the 2022 Mw 6.6 Luding, China, earthquake. Stochastic Environmental Research and Risk Assessment. 37(8). 2943–2960. 19 indexed citations
13.
14.
Dang, Pengfei, Lei Zhang, Yumei Zhou, et al.. (2023). Cryogenic superelasticity and elastocaloric effect in a nanostructured Ti-Ni-Co alloy. Scripta Materialia. 236. 115638–115638. 15 indexed citations
15.
Dang, Pengfei, Hongfeng Yang, Jie Cui, & Jian Song. (2023). Regional spectral characteristics, quality factor and site responses in western-central Sichuan, China (II): Application to stochastic ground motion simulation. Soil Dynamics and Earthquake Engineering. 175. 108274–108274. 3 indexed citations
16.
Dang, Pengfei, et al.. (2023). Simulation of Ground Motion From Finite‐Fault Modeling Incorporating the Influence of Duration. Earth and Space Science. 10(9). 1 indexed citations
17.
18.
Dang, Pengfei, et al.. (2021). A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake. Earth and Space Science. 8(11). 11 indexed citations
19.
Dang, Pengfei, et al.. (2021). Fault severity assessment of rolling bearing based on optimized multi-dictionaries matching pursuit and Lempel–Ziv complexity. ISA Transactions. 116. 191–202. 20 indexed citations
20.
Yu, Bin, et al.. (2020). An extended visual angle car-following model considering the vehicle types in the adjacent lane. Physica A Statistical Mechanics and its Applications. 566. 125665–125665. 29 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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