Clayton Cooper

540 total citations
14 papers, 368 citations indexed

About

Clayton Cooper is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Clayton Cooper has authored 14 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 6 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Clayton Cooper's work include Advanced machining processes and optimization (5 papers), Advanced Machining and Optimization Techniques (5 papers) and Surface Roughness and Optical Measurements (3 papers). Clayton Cooper is often cited by papers focused on Advanced machining processes and optimization (5 papers), Advanced Machining and Optimization Techniques (5 papers) and Surface Roughness and Optical Measurements (3 papers). Clayton Cooper collaborates with scholars based in United States, Sweden and China. Clayton Cooper's co-authors include Robert X. Gao, Y. B. Guo, Qi Tian, Weihong Guo, Shenghan Guo, Jianjing Zhang, Ihab Ragai, Sichao Liu, Lihui Wang and Peng Wang and has published in prestigious journals such as Journal of Materials Processing Technology, IEEE Transactions on Control Systems Technology and CIRP Annals.

In The Last Decade

Clayton Cooper

14 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clayton Cooper United States	8	235	120	84	55	50	14	368
Qinghua Lu China	11	194 0.8×	76 0.6×	66 0.8×	80 1.5×	63 1.3×	40	391
Hongming Gao China	12	489 2.1×	75 0.6×	122 1.5×	30 0.5×	44 0.9×	35	549
Danny J. Lohan United States	12	220 0.9×	34 0.3×	40 0.5×	34 0.6×	94 1.9×	32	480
Yu Ming Zhang China	9	457 1.9×	85 0.7×	81 1.0×	50 0.9×	101 2.0×	36	536
Yong Ren China	13	226 1.0×	60 0.5×	163 1.9×	31 0.6×	33 0.7×	28	424
Zhen Hou China	10	418 1.8×	228 1.9×	93 1.1×	55 1.0×	57 1.1×	20	565
Yuxiang Hong China	15	438 1.9×	131 1.1×	26 0.3×	32 0.6×	45 0.9×	34	538

Countries citing papers authored by Clayton Cooper

Since Specialization

Citations

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

Fields of papers citing papers by Clayton Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clayton Cooper

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

All Works

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14 of 14 papers shown

Cooper, Clayton, Jianjing Zhang, Y. B. Guo, & Robert X. Gao. (2025). Surface roughness prediction in machining using two-stage domain-incremental learning with input dimensionality expansion. Journal of Manufacturing Systems. 80. 503–510. 1 indexed citations

Cooper, Clayton, Jianjing Zhang, Ihab Ragai, & Robert X. Gao. (2024). Multi-sensor fusion and machine learning-driven sequence-to-sequence translation for interpretable process signature prediction in machining. Journal of Manufacturing Systems. 75. 288–298. 7 indexed citations

Hu, Liwei, Hai Thanh Phan, Shankar Srinivasan, et al.. (2024). Multimodal data-driven machine learning for the prediction of surface topography in end milling. Production Engineering. 18(3-4). 507–523. 4 indexed citations

Cooper, Clayton, Jianjing Zhang, & Robert X. Gao. (2023). Error homogenization in physics-informed neural networks for modeling in manufacturing. Journal of Manufacturing Systems. 71. 298–308. 8 indexed citations

Cooper, Clayton, Jianjing Zhang, Y. B. Guo, & Robert X. Gao. (2023). Surface roughness prediction through GAN-synthesized power signal as a process signature. Journal of Manufacturing Systems. 68. 660–669. 22 indexed citations

Cooper, Clayton, et al.. (2023). Tensile strength prediction in directed energy deposition through physics-informed machine learning and Shapley additive explanations. Journal of Materials Processing Technology. 315. 117908–117908. 22 indexed citations

Cooper, Clayton, et al.. (2022). Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 6 indexed citations

Guo, Shenghan, Clayton Cooper, Qi Tian, et al.. (2021). Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm. Journal of Manufacturing Systems. 62. 145–163. 194 indexed citations

Wang, Lihui, Sichao Liu, Clayton Cooper, Xi Vincent Wang, & Robert X. Gao. (2021). Function block-based human-robot collaborative assembly driven by brainwaves. CIRP Annals. 70(1). 5–8. 26 indexed citations

10.

Liu, Sichao, et al.. (2021). Leveraging multimodal data for intuitive robot control towards human-robot collaborative assembly. Procedia CIRP. 104. 206–211. 7 indexed citations

11.

Cooper, Clayton, Jianjing Zhang, Robert X. Gao, Peng Wang, & Ihab Ragai. (2020). Anomaly detection in milling tools using acoustic signals and generative adversarial networks. Procedia Manufacturing. 48. 372–378. 27 indexed citations

12.

Cooper, Clayton, et al.. (2020). Convolutional neural network-based tool condition monitoring in vertical milling operations using acoustic signals. Procedia Manufacturing. 49. 105–111. 41 indexed citations

13.

Cooper, Clayton, Dongdong Liu, Jianjing Zhang, & Robert X. Gao. (2020). Feature-Based Transfer Learning for Bearing Fault Recognition Without Available Fault Data. 2 indexed citations

14.

Rosen, I. G., et al.. (2001). A neural-network-based approach to determining a robust process recipe for the plasma-enhanced deposition of silicon nitride thin films. IEEE Transactions on Control Systems Technology. 9(2). 271–284. 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.

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