Xiaoke Li

3.4k total citations
126 papers, 2.7k citations indexed

About

Xiaoke Li is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Xiaoke Li has authored 126 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanical Engineering, 30 papers in Electrical and Electronic Engineering and 30 papers in Statistics, Probability and Uncertainty. Recurrent topics in Xiaoke Li's work include Probabilistic and Robust Engineering Design (30 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Advanced Machining and Optimization Techniques (12 papers). Xiaoke Li is often cited by papers focused on Probabilistic and Robust Engineering Design (30 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Advanced Machining and Optimization Techniques (12 papers). Xiaoke Li collaborates with scholars based in China, Australia and Indonesia. Xiaoke Li's co-authors include Changjun Zou, Zhenzhong Chen, Liang Gao, Haobo Qiu, Jinguang Du, Baojie Wei, Wenbin He, Wuyi Ming, Yang Cao and Wuyi Ming and has published in prestigious journals such as Angewandte Chemie International Edition, Renewable and Sustainable Energy Reviews and Advanced Functional Materials.

In The Last Decade

Xiaoke Li

117 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoke Li China 28 893 802 760 538 500 126 2.7k
Huaming Qian China 22 269 0.3× 160 0.2× 509 0.7× 274 0.5× 179 0.4× 111 1.8k
Kishalay Mitra India 31 943 1.1× 420 0.5× 622 0.8× 67 0.1× 61 0.1× 132 2.5k
Zoran Filipi United States 41 1.4k 1.6× 833 1.0× 1.8k 2.3× 105 0.2× 249 0.5× 237 6.5k
James E. Braun United States 44 3.9k 4.3× 338 0.4× 1.6k 2.1× 201 0.4× 1.3k 2.6× 347 7.5k
Ruonan Liu China 25 1.6k 1.8× 224 0.3× 958 1.3× 116 0.2× 206 0.4× 67 4.5k
Ping Li China 34 446 0.5× 204 0.3× 344 0.5× 51 0.1× 255 0.5× 242 3.4k
Nabil Gindy United Kingdom 37 1.9k 2.1× 734 0.9× 705 0.9× 39 0.1× 122 0.2× 146 3.9k
Renjie Ji China 32 1.9k 2.2× 1.4k 1.7× 1.9k 2.5× 289 0.5× 181 0.4× 95 3.2k
Frank Pettersson Finland 30 1.2k 1.4× 385 0.5× 397 0.5× 37 0.1× 159 0.3× 75 2.4k
Ranjit Roy India 22 616 0.7× 308 0.4× 2.0k 2.7× 44 0.1× 101 0.2× 91 3.4k

Countries citing papers authored by Xiaoke Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoke Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoke Li. A scholar is included among the top collaborators of Xiaoke Li 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 Xiaoke Li. Xiaoke Li 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, Hongyan, et al.. (2025). The latest research of CNN in infrared industrial defect detection. Infrared Physics & Technology. 153. 106333–106333.
2.
He, Wenbin, Y. B. Guo, Dingkun Wang, et al.. (2025). Wear mechanisms and its effect of CBN tool on surface roughness in machining of metallic glass. International Journal of Refractory Metals and Hard Materials. 128. 107082–107082. 3 indexed citations
3.
Zhang, A‐Man, Zhenzhong Chen, Xiaoke Li, et al.. (2025). Reliability analysis method for multiple failure modes with overlapping failure domains. Probabilistic Engineering Mechanics. 79. 103741–103741. 2 indexed citations
4.
Li, Xiaoke, et al.. (2025). A Critical Review on Machine Vision in Potato Production: From Cultivation to Storage. Journal of Food Process Engineering. 48(6).
5.
Li, Xiaoke, Lie Zou, Mengshan Chen, et al.. (2025). Less is More: Reducing Evaporation Dead Zones to Tune Thermal Convection in Donut‐Structure Evaporators for High‐Efficiency Interfacial Solar Steam Generation. Advanced Functional Materials. 35(42). 16 indexed citations
6.
Chen, Zhenzhong, et al.. (2024). An improved approximate integral method for nonlinear reliability analysis. Computer Methods in Applied Mechanics and Engineering. 429. 117158–117158. 9 indexed citations
8.
Chen, Zhenzhong, et al.. (2024). A hyperspherical area integral method based on a quasi-Newton approximation for reliability analysis. Computer Methods in Applied Mechanics and Engineering. 433. 117533–117533. 2 indexed citations
9.
Su, Zixiang, et al.. (2024). Emergoenvironmental analysis and sustainable flexible peaking of a novel solar-assisted solid oxide fuel cell cogeneration system. Journal of Power Sources. 617. 235149–235149. 1 indexed citations
12.
Rui, Zhiyan, Rui Ding, Kang Hua, et al.. (2023). Design of proton exchange membranes with high durability for fuel cells: From the perspective of machine learning. Journal of Membrane Science. 683. 121831–121831. 23 indexed citations
13.
Li, Xiaoke, Hao Wang, He Zhang, & Liu Yang. (2023). Comprehensive performance evaluation of Ti3C2 MXene/TiN composite nanofluids for photo thermal conversion. Applied Thermal Engineering. 228. 120486–120486. 30 indexed citations
14.
He, Wenbin, Wuyi Ming, Zongze Li, et al.. (2023). Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning. Renewable and Sustainable Energy Reviews. 192. 114193–114193. 50 indexed citations
15.
He, Wenbin, Zhaohui Liu, Xudong Guo, et al.. (2023). Research progress and application of deep learning in remaining useful life, state of health and battery thermal management of lithium batteries. Journal of Energy Storage. 70. 107868–107868. 57 indexed citations
16.
Li, Xiaoke, et al.. (2022). Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification. Reliability Engineering & System Safety. 224. 108539–108539. 46 indexed citations
17.
Ming, Wuyi, Peiyan Sun, Zhen Zhang, et al.. (2022). A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring. International Journal of Hydrogen Energy. 48(13). 5197–5228. 135 indexed citations
18.
Ming, Wuyi, Chen Cao, Xuewen Liu, et al.. (2022). Green manufacturing: a comparative study of renewable dielectrics in the EDM process. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(12). 19 indexed citations
19.
Li, Xiaoke, Fengxiang Xu, Haobo Qiu, et al.. (2019). A MOVING SHIFTING VECTOR METHOD FOR RELIABILITY-BASED DESIGN OPTIMIZATION USING EFFECTIVENESS CHECKING OF PROBABILISTIC CONSTRAINT. International journal of industrial engineering. 26(1). 3 indexed citations
20.
Fan, Jinhui, et al.. (2015). Effect of Cold Deformation on Microstructure and Mechanical Behavior of Ni-based High Temperature Alloy GH3535. Cailiao yanjiu xuebao. 29(6). 439–444. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026