Shanglei Jiang

587 total citations
18 papers, 424 citations indexed

About

Shanglei Jiang is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Shanglei Jiang has authored 18 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 13 papers in Biomedical Engineering and 6 papers in Computational Mechanics. Recurrent topics in Shanglei Jiang's work include Advanced machining processes and optimization (17 papers), Advanced Surface Polishing Techniques (13 papers) and Advanced Numerical Analysis Techniques (6 papers). Shanglei Jiang is often cited by papers focused on Advanced machining processes and optimization (17 papers), Advanced Surface Polishing Techniques (13 papers) and Advanced Numerical Analysis Techniques (6 papers). Shanglei Jiang collaborates with scholars based in China and Italy. Shanglei Jiang's co-authors include Yuwen Sun, Jinbo Niu, Ruoqi Wang, Jinting Xu, Yang Liu, Fei Ren, Shikang Li, Chunzheng Duan, Yong Liu and Daqing Gao and has published in prestigious journals such as Mechanical Systems and Signal Processing, International Journal of Machine Tools and Manufacture and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Shanglei Jiang

15 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanglei Jiang China 11 400 285 140 130 64 18 424
Zhaocheng Wei China 12 406 1.0× 264 0.9× 132 0.9× 163 1.3× 66 1.0× 35 418
Oguzhan Tuysuz Canada 7 504 1.3× 329 1.2× 150 1.1× 230 1.8× 51 0.8× 13 522
A.L. Iglesias Hungary 11 428 1.1× 308 1.1× 165 1.2× 129 1.0× 25 0.4× 23 473
J.A.J. Oosterling Netherlands 7 414 1.0× 298 1.0× 203 1.4× 81 0.6× 19 0.3× 12 432
Hisataka TANAKA Japan 7 341 0.9× 221 0.8× 152 1.1× 72 0.6× 42 0.7× 27 363
Dae Kyun Baek South Korea 10 346 0.9× 164 0.6× 137 1.0× 89 0.7× 77 1.2× 13 384
Mohammad Reza Soleymani Yazdi Iran 10 307 0.8× 140 0.5× 210 1.5× 86 0.7× 52 0.8× 13 365
D. Barrenetxea Spain 13 438 1.1× 364 1.3× 154 1.1× 105 0.8× 16 0.3× 38 462
Grégoire Peigne France 10 569 1.4× 448 1.6× 188 1.3× 175 1.3× 43 0.7× 11 591
Martin Kalveram Germany 6 537 1.3× 412 1.4× 214 1.5× 155 1.2× 30 0.5× 7 551

Countries citing papers authored by Shanglei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shanglei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanglei Jiang

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

All Works

18 of 18 papers shown
1.
Jiang, Shanglei, et al.. (2025). Mechanical modeling and calibration of a variable-helix milling force model with multi-group coefficients and run-out parameters. The International Journal of Advanced Manufacturing Technology. 139(1-2). 197–220.
2.
Song, Xueping, et al.. (2025). Nonlinear multivariate modeling and stability analysis of rotary drilling rig. Nonlinear Dynamics. 113(18). 24447–24471.
3.
Zhang, Qin, et al.. (2025). Chatter stability prediction methods in the machining processes: a review. The International Journal of Advanced Manufacturing Technology. 136(7-8). 2945–2985.
4.
Jiang, Shanglei, et al.. (2024). A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring. Machines. 12(12). 833–833. 10 indexed citations
5.
Yu, Rong, et al.. (2023). A Cyclic Calibration Method of Milling Force Coefficients Considering Elastic Tool Deformation. Machines. 11(8). 821–821. 3 indexed citations
6.
Sun, Yuwen, et al.. (2023). A State-of-the-Art Review on Chatter Stability in Machining Thin−Walled Parts. Machines. 11(3). 359–359. 28 indexed citations
7.
Jiang, Shanglei, et al.. (2022). A hybrid multi-step method based on 1/3 and 3/8 Simpson formulas for milling stability prediction. The International Journal of Advanced Manufacturing Technology. 120(1-2). 265–277. 5 indexed citations
9.
Li, Shikang, et al.. (2022). Optimal pitch angles determination of ball-end cutter for improving five-axis milling stability. Journal of Manufacturing Processes. 84. 832–846. 9 indexed citations
10.
Jiang, Shanglei, et al.. (2021). Modeling of variable-pitch/helix milling system considering axially varying dynamics with cutter runout offset and tilt effects. Mechanical Systems and Signal Processing. 168. 108674–108674. 19 indexed citations
11.
Jiang, Shanglei, et al.. (2020). Dynamics modeling and stability analysis of five-axis ball-end milling system with variable pitch tools. International Journal of Mechanical Sciences. 182. 105774–105774. 41 indexed citations
12.
Jiang, Shanglei & Yuwen Sun. (2019). Stability analysis for a milling system considering multi-point-contact cross-axis mode coupling and cutter run-out effects. Mechanical Systems and Signal Processing. 141. 106452–106452. 30 indexed citations
13.
Jiang, Shanglei, et al.. (2018). Analytical prediction of chatter stability in turning of low-stiffness pure iron parts by nosed tool. The International Journal of Advanced Manufacturing Technology. 102(5-8). 1227–1237. 10 indexed citations
14.
Ren, Fei, et al.. (2018). Contour error pre-compensation for three-axis machine tools by using cross-coupled dynamic friction control. The International Journal of Advanced Manufacturing Technology. 98(1-4). 551–563. 17 indexed citations
15.
Sun, Yuwen & Shanglei Jiang. (2018). Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts. International Journal of Machine Tools and Manufacture. 135. 38–52. 140 indexed citations
16.
Jiang, Shanglei, et al.. (2017). Chatter stability and surface location error predictions in milling with mode coupling and process damping. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 233(3). 686–698. 31 indexed citations
17.
Jiang, Shanglei & Yuwen Sun. (2017). A multi-order method for predicting stability of a multi-delay milling system considering helix angle and run-out effects. Chinese Journal of Aeronautics. 31(6). 1375–1387. 13 indexed citations
18.
Jiang, Shanglei, et al.. (2017). A second-order semi-discretization method for the efficient and accurate stability prediction of milling process. The International Journal of Advanced Manufacturing Technology. 92(1-4). 583–595. 63 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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