Gengxiang Chen

455 total citations
22 papers, 336 citations indexed

About

Gengxiang Chen is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Gengxiang Chen has authored 22 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Gengxiang Chen's work include Advanced Measurement and Metrology Techniques (8 papers), Advanced machining processes and optimization (7 papers) and Manufacturing Process and Optimization (5 papers). Gengxiang Chen is often cited by papers focused on Advanced Measurement and Metrology Techniques (8 papers), Advanced machining processes and optimization (7 papers) and Manufacturing Process and Optimization (5 papers). Gengxiang Chen collaborates with scholars based in China, France and Germany. Gengxiang Chen's co-authors include Yingguang Li, Xu Liu, Xiaozhong Hao, Bo Yang, Ke Xu, Changqing Liu, Charyar Mehdi-Souzani, Lu Chen, Boya Zhao and Lu Chen and has published in prestigious journals such as IEEE Transactions on Cybernetics, Composite Structures and International Journal of Machine Tools and Manufacture.

In The Last Decade

Gengxiang Chen

19 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gengxiang Chen China 10 227 109 78 78 47 22 336
Durmuş Karayel Türkiye 8 222 1.0× 81 0.7× 125 1.6× 87 1.1× 32 0.7× 32 341
Issam Abu-Mahfouz United States 11 320 1.4× 66 0.6× 136 1.7× 82 1.1× 43 0.9× 31 429
Thomas E. McLeay United Kingdom 10 218 1.0× 145 1.3× 102 1.3× 55 0.7× 15 0.3× 19 319
Jacek Cieślik Poland 9 123 0.5× 44 0.4× 35 0.4× 53 0.7× 11 0.2× 42 257
Yunfei Zhou China 11 169 0.7× 103 0.9× 85 1.1× 52 0.7× 27 0.6× 41 400
Amruta Rout India 9 233 1.0× 131 1.2× 48 0.6× 62 0.8× 30 0.6× 26 414
Haikuo Shen China 9 111 0.5× 57 0.5× 66 0.8× 36 0.5× 20 0.4× 30 279
Jiao Li China 13 219 1.0× 59 0.5× 144 1.8× 155 2.0× 13 0.3× 46 535

Countries citing papers authored by Gengxiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gengxiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengxiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Gengxiang Chen. A scholar is included among the top collaborators of Gengxiang Chen 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 Gengxiang Chen. Gengxiang Chen 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.
Li, Yingguang, et al.. (2025). Operator transfer learning for physics field prediction on complex geometries with limited labelled data. Knowledge-Based Systems. 329. 114326–114326. 1 indexed citations
2.
Li, Yingguang, et al.. (2025). Fast prediction and compensation of curing deformation behaviours of composite parts with complex geometry based on neural operator on Riemannian manifolds. Engineering Applications of Artificial Intelligence. 161. 112247–112247.
3.
Chen, Gengxiang, et al.. (2025). Advanced ultra-high precision system (NanoCyl) for accurate cylindricity measurements. CIRP journal of manufacturing science and technology. 59. 118–126.
4.
Chen, Gengxiang, Yingguang Li, Charyar Mehdi-Souzani, & Xu Liu. (2024). Implicit residual approximation for multi-sensor data fusion in surface geometry measurement. Journal of Manufacturing Systems. 75. 246–256. 1 indexed citations
5.
Li, Yingguang, et al.. (2023). A novel physics-informed neural operator for thermochemical curing analysis of carbon-fibre-reinforced thermosetting composites. Composite Structures. 321. 117197–117197. 17 indexed citations
6.
Chen, Gengxiang, Yingguang Li, Xu Liu, et al.. (2023). Physics-guided neural operator for data-driven composites manufacturing process modelling. Journal of Manufacturing Systems. 70. 217–229. 9 indexed citations
7.
Chen, Lu, Yingguang Li, Gengxiang Chen, Xu Liu, & Changqing Liu. (2023). Physics-guided high-value data sampling method for predicting milling stability with limited experimental data. Journal of Intelligent Manufacturing. 35(7). 3219–3234. 6 indexed citations
8.
Chen, Gengxiang, Yingguang Li, Charyar Mehdi-Souzani, & Xu Liu. (2023). Active transfer learning for data-driven manufacturing process modelling. Procedia CIRP. 118. 98–103. 1 indexed citations
9.
Liu, Xu, Yingguang Li, & Gengxiang Chen. (2022). Transfer learning for regression via latent variable represented conditional distribution alignment. Knowledge-Based Systems. 240. 108110–108110. 8 indexed citations
10.
Liu, Xu, Yingguang Li, Lu Chen, Gengxiang Chen, & Boya Zhao. (2022). Multiple source partial knowledge transfer for manufacturing system modelling. Robotics and Computer-Integrated Manufacturing. 80. 102468–102468. 8 indexed citations
11.
Liu, Xu, et al.. (2022). Sampling via the aggregation value for data-driven manufacturing. National Science Review. 9(11). nwac201–nwac201. 9 indexed citations
12.
Chen, Gengxiang, Yingguang Li, Charyar Mehdi-Souzani, & Xu Liu. (2022). A kernel transfer learning based multi-sensor surface reconstruction framework for reverse engineering. Procedia CIRP. 109. 672–677. 2 indexed citations
13.
Chen, Gengxiang, Yingguang Li, Xu Liu, & Bo Yang. (2021). Physics-informed Bayesian inference for milling stability analysis. International Journal of Machine Tools and Manufacture. 167. 103767–103767. 44 indexed citations
14.
Liu, Xu, et al.. (2021). Deep transfer learning for conditional shift in regression. Knowledge-Based Systems. 227. 107216–107216. 46 indexed citations
15.
Chen, Gengxiang, Yingguang Li, & Xu Liu. (2020). Transfer Learning Under Conditional Shift Based on Fuzzy Residual. IEEE Transactions on Cybernetics. 52(2). 960–970. 15 indexed citations
16.
Li, Yingguang, et al.. (2020). Multi-source integrated fusion for surface measurement. The International Journal of Advanced Manufacturing Technology. 109(7-8). 1815–1823. 5 indexed citations
17.
Chen, Gengxiang, Yingguang Li, & Xu Liu. (2018). Pose-dependent tool tip dynamics prediction using transfer learning. International Journal of Machine Tools and Manufacture. 137. 30–41. 67 indexed citations
18.
Liu, Xu, Yingguang Li, & Gengxiang Chen. (2018). Multimode tool tip dynamics prediction based on transfer learning. Robotics and Computer-Integrated Manufacturing. 57. 146–154. 28 indexed citations
19.
Hao, Xiaozhong, Yingguang Li, Gengxiang Chen, & Changqing Liu. (2017). 6+X locating principle based on dynamic mass centers of structural parts machined by responsive fixtures. International Journal of Machine Tools and Manufacture. 125. 112–122. 28 indexed citations
20.
Yan, Binbin, Gengxiang Chen, Kuiru Wang, et al.. (2012). High stable single-polarization tunable fiber laser based on Opto-DMD processor and polarization-maintaining fiber devices. Laser Physics. 22(12). 1833–1836.

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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