Kaining Shi

679 total citations
35 papers, 489 citations indexed

About

Kaining Shi is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kaining Shi has authored 35 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 14 papers in Biomedical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Kaining Shi's work include Advanced machining processes and optimization (28 papers), Advanced Surface Polishing Techniques (14 papers) and Advanced Machining and Optimization Techniques (13 papers). Kaining Shi is often cited by papers focused on Advanced machining processes and optimization (28 papers), Advanced Surface Polishing Techniques (14 papers) and Advanced Machining and Optimization Techniques (13 papers). Kaining Shi collaborates with scholars based in China, Singapore and Australia. Kaining Shi's co-authors include Junxue Ren, Dinghua Zhang, Ning Liu, Yaoyao Shi, Jinhua Zhou, Changfeng Yao, Daoxia Wu, Liang Tan, Junxue Ren and Sibao Wang and has published in prestigious journals such as Composites Part A Applied Science and Manufacturing, Wear and Composite Structures.

In The Last Decade

Kaining Shi

30 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaining Shi China 13 450 193 155 100 77 35 489
Ireneusz Zagórski Poland 14 411 0.9× 116 0.6× 85 0.5× 79 0.8× 84 1.1× 67 492
Thella Babu Rao India 12 496 1.1× 198 1.0× 129 0.8× 46 0.5× 81 1.1× 43 546
S.P. Sundar Singh Sivam India 13 396 0.9× 187 1.0× 90 0.6× 75 0.8× 104 1.4× 72 470
И. Н. Ердаков Russia 11 416 0.9× 205 1.1× 92 0.6× 78 0.8× 50 0.6× 28 478
Gururaj Bolar India 12 308 0.7× 152 0.8× 151 1.0× 79 0.8× 41 0.5× 40 374
Mohinder Pal Garg India 13 366 0.8× 287 1.5× 252 1.6× 32 0.3× 41 0.5× 32 517
Fatih Hayati Çakır Türkiye 15 446 1.0× 184 1.0× 168 1.1× 53 0.5× 116 1.5× 46 525
M. Kanthababu India 12 339 0.8× 207 1.1× 221 1.4× 52 0.5× 46 0.6× 36 448
Ramesh Raju India 13 426 0.9× 180 0.9× 137 0.9× 65 0.7× 44 0.6× 21 489
Ömer Eyerci̇oğlu Türkiye 12 343 0.8× 146 0.8× 144 0.9× 58 0.6× 113 1.5× 37 428

Countries citing papers authored by Kaining Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kaining Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaining Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaining Shi. A scholar is included among the top collaborators of Kaining Shi 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 Kaining Shi. Kaining Shi 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.
Ren, Junxue, et al.. (2025). A cutting force prediction model for UD-CFRP and MD-CFRP milling based on fracture mechanisms and mechanical properties. Composites Part A Applied Science and Manufacturing. 194. 108892–108892. 5 indexed citations
2.
Ren, Junxue, et al.. (2025). Calculation method for bending deformation of complex structured tools based on subcomponent method. Journal of Manufacturing Processes. 134. 790–813. 2 indexed citations
3.
Wang, Jiapeng, et al.. (2025). Fiber spreading analysis of filament-wound pressure vessel considering deflection angle. International Journal of Pressure Vessels and Piping. 216. 105499–105499.
4.
Ren, Junxue, et al.. (2025). A method for predicting machining error of thin-walled part considering the dynamic response of elastic deformation. The International Journal of Advanced Manufacturing Technology. 137(7-8). 3799–3811.
5.
6.
Song, Yihui, Kaining Shi, Zhe He, et al.. (2024). Wear characteristics evolution of corundum wheel and its influence on performance in creep feed grinding of nickel-based superalloy. Wear. 562-563. 205649–205649. 9 indexed citations
7.
Shi, Kaining, et al.. (2024). Multi-source online transfer learning based on hybrid physics-data model for cross-condition tool health monitoring. Journal of Manufacturing Systems. 77. 1–17. 12 indexed citations
8.
Zhang, Zhao-Qing, et al.. (2024). Study on a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding. Advances in Manufacturing. 12(2). 288–299. 2 indexed citations
9.
Zhang, Zhao-Qing, Kaining Shi, Yaoyao Shi, et al.. (2024). Evolution mechanisms of the scratch-induced elastoplastic stress fields and crack damage in γ-TiAl alloys. Journal of Materials Research and Technology. 34. 932–945. 5 indexed citations
10.
Ren, Junxue, et al.. (2024). Flexibility prediction of thin-walled parts based on finite element method and K-K-CNN hybrid model. The International Journal of Advanced Manufacturing Technology. 132(11-12). 6131–6143. 4 indexed citations
11.
Lu, Danni, Kaining Shi, Yaoyao Shi, et al.. (2024). Machining behavior and experimental investigation of ultrasonic vibration assisted belt flapwheel flexible polishing. The International Journal of Advanced Manufacturing Technology. 132(3-4). 1251–1265.
13.
Ren, Junxue, et al.. (2023). The Effect of Tool Structure and Milling Parameters on the Milling Quality of CFRP Based on 3D Surface Roughness. International Journal of Precision Engineering and Manufacturing. 24(6). 931–944. 15 indexed citations
14.
Lu, Danni, Kaining Shi, Yaoyao Shi, et al.. (2023). Surface Generation Mechanism and Experimental Investigation of Ultrasonic Vibration Assisted Belt Flapwheel Flexible Polishing Process. Procedia CIRP. 117. 217–224. 2 indexed citations
15.
Shirinzadeh, Bijan, et al.. (2022). Predicting and Improving Interlaminar Bonding Uniformity during the Robotic Fiber Steering Process. Polymers. 15(1). 19–19. 1 indexed citations
16.
Zhang, Zhao-Qing, Kaining Shi, Yaoyao Shi, et al.. (2022). Development of a probabilistic algorithm of surface residual materials on Si3N4 ceramics under longitudinal torsional ultrasonic grinding. Ceramics International. 48(9). 12028–12037. 10 indexed citations
17.
Ren, Junxue, et al.. (2018). Inverse determination of improved constitutive equation for cutting titanium alloy Ti-6Al-4V based on finite element analysis. The International Journal of Advanced Manufacturing Technology. 97(9-12). 3671–3682. 19 indexed citations
18.
Shi, Kaining, et al.. (2016). Effect of cutting parameters on machinability characteristics in milling of magnesium alloy with carbide tool. Advances in Mechanical Engineering. 8(1). 46 indexed citations
19.
Shi, Kaining, Dinghua Zhang, & Junxue Ren. (2015). Optimization of process parameters for surface roughness and microhardness in dry milling of magnesium alloy using Taguchi with grey relational analysis. The International Journal of Advanced Manufacturing Technology. 81(1-4). 645–651. 83 indexed citations
20.
Wu, Daoxia, et al.. (2013). Effects of cutting parameters on surface residual stress and its mechanism in high-speed milling of TB6. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 227(4). 483–493. 46 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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