Xiaolong Pei

460 total citations · 1 hit paper
11 papers, 304 citations indexed

About

Xiaolong Pei is a scholar working on Mechanical Engineering, Aerospace Engineering and Mechanics of Materials. According to data from OpenAlex, Xiaolong Pei has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 5 papers in Aerospace Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Xiaolong Pei's work include High-Temperature Coating Behaviors (4 papers), High Entropy Alloys Studies (4 papers) and Advanced Welding Techniques Analysis (3 papers). Xiaolong Pei is often cited by papers focused on High-Temperature Coating Behaviors (4 papers), High Entropy Alloys Studies (4 papers) and Advanced Welding Techniques Analysis (3 papers). Xiaolong Pei collaborates with scholars based in China and United States. Xiaolong Pei's co-authors include Yuhong Zhao, Hua Hou, Qingwei Guo, Peter K. Liaw, Zhiqiang Duan, Yue Pan, Zhuo Song, Liwen Chen, Yingqiao Zhang and Zhiyong Li and has published in prestigious journals such as Surface and Coatings Technology, Materials & Design and Journal of Materials Research and Technology.

In The Last Decade

Xiaolong Pei

10 papers receiving 292 citations

Hit Papers

Hardening-softening of Al0.3CoCrFeNi high-entropy alloy u... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hardening-softening of Al0.3CoCrFeNi high-entropy alloy under nanoindentation
    2023 117 citations Qingwei Guo, Hua Hou et al. Materials & Design profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolong Pei China 7 223 131 72 44 29 11 304
Weifeng Qian China 10 148 0.7× 51 0.4× 93 1.3× 85 1.9× 34 1.2× 31 327
Stephen DeWitt United States 10 111 0.5× 67 0.5× 155 2.2× 32 0.7× 34 1.2× 24 281
Shihong Zhang China 9 225 1.0× 111 0.8× 189 2.6× 164 3.7× 37 1.3× 43 318
Jingyu Zhang China 10 86 0.4× 82 0.6× 179 2.5× 34 0.8× 17 0.6× 41 304
Chunguang Shen China 8 334 1.5× 44 0.3× 228 3.2× 123 2.8× 12 0.4× 24 473
Chenglin Wang China 10 243 1.1× 104 0.8× 165 2.3× 97 2.2× 20 0.7× 25 340
Di Qiu China 9 283 1.3× 60 0.5× 363 5.0× 86 2.0× 17 0.6× 17 420

Countries citing papers authored by Xiaolong Pei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Pei. A scholar is included among the top collaborators of Xiaolong Pei 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 Xiaolong Pei. Xiaolong Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Pei, Xiaolong, et al.. (2025). Optimizing casting process using a combination of small data machine learning and phase-field simulations. npj Computational Materials. 11(1). 12 indexed citations
2.
Pei, Xiaolong, Hua Hou, & Yuhong Zhao. (2025). A Review of Intelligent Design and Optimization of Metal Casting Processes. Acta Metallurgica Sinica (English Letters). 38(8). 1293–1311. 1 indexed citations
3.
4.
Pan, Yue, Hua Hou, Xiaolong Pei, & Yuhong Zhao. (2024). Feature purify: An examination of spurious correlations in high-entropy alloys. Materials & Design. 239. 112785–112785. 3 indexed citations
5.
Guo, Qingwei, Hua Hou, Yue Pan, et al.. (2023). Hardening-softening of Al0.3CoCrFeNi high-entropy alloy under nanoindentation. Materials & Design. 231. 112050–112050. 117 indexed citations breakdown →
6.
Pei, Xiaolong, Yuhong Zhao, Liwen Chen, et al.. (2023). Robustness of machine learning to color, size change, normalization, and image enhancement on micrograph datasets with large sample differences. Materials & Design. 232. 112086–112086. 59 indexed citations
7.
Guo, Qingwei, Xiaolong Pei, Zhiqiang Duan, et al.. (2022). Predict the phase formation of high-entropy alloys by compositions. Journal of Materials Research and Technology. 22. 3331–3339. 68 indexed citations
8.
Pei, Xiaolong, et al.. (2021). Improved Mean Shift Algorithm Based on Probability Distribution. 572–575. 1 indexed citations
9.
Wang, Yongji, Zhiyong Li, Yingqiao Zhang, et al.. (2019). Cold arc cladding of aluminum coatings on AZ61 magnesium alloy: A comparative study. Surface and Coatings Technology. 375. 442–457. 18 indexed citations
10.
11.
Li, Zhiyong, et al.. (2017). Microstructure and properties of AL-SI alloy cladding on AZ91D magnesium alloy by low heat input DC-PMIG welding. Surface and Coatings Technology. 329. 42–48. 12 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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2026