Faping Zhang

528 total citations
54 papers, 389 citations indexed

About

Faping Zhang is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Faping Zhang has authored 54 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Industrial and Manufacturing Engineering, 18 papers in Mechanical Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Faping Zhang's work include Manufacturing Process and Optimization (17 papers), Advanced machining processes and optimization (14 papers) and Advanced Surface Polishing Techniques (6 papers). Faping Zhang is often cited by papers focused on Manufacturing Process and Optimization (17 papers), Advanced machining processes and optimization (14 papers) and Advanced Surface Polishing Techniques (6 papers). Faping Zhang collaborates with scholars based in China, Pakistan and United States. Faping Zhang's co-authors include Shahid Ikramullah Butt, Umer Asgher, Mujtaba Hassan Agha, Anjum Naveed, Riaz Ahmad, Jiping Lu, Aamir Mubashar, Guo Li, Yan Yan and Ghulam Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Economics and Sustainability.

In The Last Decade

Faping Zhang

48 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faping Zhang China 9 184 130 51 50 34 54 389
Rachmadi Norcahyo Indonesia 9 147 0.8× 132 1.0× 47 0.9× 56 1.1× 18 0.5× 28 313
Alberto J. Álvares Brazil 12 282 1.5× 132 1.0× 103 2.0× 30 0.6× 87 2.6× 62 446
Clint Saidy United States 6 245 1.3× 48 0.4× 36 0.7× 23 0.5× 24 0.7× 8 361
Jianguo Duan China 14 316 1.7× 165 1.3× 39 0.8× 24 0.5× 97 2.9× 70 609
Christopher Sacco United States 8 288 1.6× 161 1.2× 95 1.9× 36 0.7× 43 1.3× 10 573
Nobuhiro Sugimura Japan 11 284 1.5× 136 1.0× 24 0.5× 83 1.7× 25 0.7× 95 451
Jiyun Qin China 14 188 1.0× 156 1.2× 25 0.5× 20 0.4× 75 2.2× 50 422
Jabir Mumtaz China 13 254 1.4× 101 0.8× 17 0.3× 65 1.3× 23 0.7× 41 432
Jingtao Zhou China 10 153 0.8× 208 1.6× 22 0.4× 29 0.6× 53 1.6× 32 344
Soumyakant Padhee India 6 93 0.5× 155 1.2× 107 2.1× 75 1.5× 19 0.6× 9 324

Countries citing papers authored by Faping Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Faping Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faping Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Faping Zhang. A scholar is included among the top collaborators of Faping Zhang 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 Faping Zhang. Faping Zhang 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.
Zhang, Faping, et al.. (2025). Graph modeling of multi-scale energy entropy for intelligent fault detection. Engineering Applications of Artificial Intelligence. 159. 111389–111389.
2.
Zhang, Yu, et al.. (2025). Prediction of Milling Deformation for Frame-Type Thin-Walled Parts Considering Workblank Initial Residual Stress and Milling Force. SHILAP Revista de lepidopterología. 9(5). 146–146. 2 indexed citations
3.
Zhang, Faping, et al.. (2024). Health indicator construction based on Double attribute feature deviation degree and its application into RUL prediction. Reliability Engineering & System Safety. 256. 110785–110785.
4.
Zhang, Faping, et al.. (2024). Initial Surface Residual Stress Field of Aluminum Alloy Prediction Method Based on Surface-Measured Stresses. Journal of Materials Engineering and Performance. 34(11). 9327–9341. 2 indexed citations
5.
Zheng, Youyi, et al.. (2023). Residual stress formation mechanism considering cutting energy in milling of 7075 aluminum alloy. The International Journal of Advanced Manufacturing Technology. 131(5-6). 3039–3055. 9 indexed citations
6.
Xu, Tianci, et al.. (2023). Preparation of Super-Flexible Silica Aerogel and Its Application in Oil–Water Separation. Gels. 9(9). 739–739. 5 indexed citations
7.
Zhang, Faping, et al.. (2022). Fault diagnosis method for machinery based on multi-source conflict information fusion. Measurement Science and Technology. 33(11). 115007–115007. 7 indexed citations
8.
Butt, Shahid Ikramullah, et al.. (2020). A layered genetic algorithm with iterative diversification for optimization of flexible job shop scheduling problems. Advances in Production Engineering & Management. 15(4). 377–389. 15 indexed citations
9.
Butt, Shahid Ikramullah, et al.. (2020). Design and verification of enhanced CFRTPCs fabrication technique using fused deposition modeling. Journal of Thermoplastic Composite Materials. 35(11). 1957–1980. 9 indexed citations
10.
Butt, Shahid Ikramullah, et al.. (2019). Effect of carbon fibre on reinforcement of thermoplastics using FDM and RSM. Journal of Thermoplastic Composite Materials. 35(3). 352–374. 43 indexed citations
11.
Yang, Han‐Seung, Xiaochen Yue, Jun Yang, et al.. (2019). Pyrolysis Molecules of Pinus armandii Leaves for Potential Reuse. Ekoloji. 28(108). 159–163. 1 indexed citations
12.
Chen, Huiling, Xiaochen Yue, Jun Yang, et al.. (2019). Pyrolysis molecule of Torreya grandis bark for potential biomedicine. Saudi Journal of Biological Sciences. 26(4). 808–815. 8 indexed citations
13.
Butt, Shahid Ikramullah, Riaz Ahmad, Mujtaba Hassan Agha, et al.. (2018). Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems. Mathematical Problems in Engineering. 2018. 1–32. 102 indexed citations
14.
Zhang, Faping, et al.. (2018). Blind Signal Separation Method Based Machining Error Decomposition. International Journal of Precision Engineering and Manufacturing. 19(2). 203–211. 4 indexed citations
15.
Butt, Shahid Ikramullah, Umer Asgher, Riaz Ahmed, et al.. (2017). Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process. Advances in Materials Science and Engineering. 2017. 1–11. 8 indexed citations
16.
Butt, Shahid Ikramullah, et al.. (2017). Thermal Model of Rotary Friction Welding for Similar and Dissimilar Metals. Metals. 7(6). 224–224. 28 indexed citations
17.
Zhang, Faping, et al.. (2011). Dimensional Quality Oriented Reliability Modeling for Complex Manufacturing Processes. International Journal of Computational Intelligence Systems. 4(6). 1262–1268. 7 indexed citations
18.
Zhang, Faping. (2010). Locating Error Considering Dimensional Errors Modeling for Multistation Manufacturing System. Chinese Journal of Mechanical Engineering. 23(6). 765–765. 6 indexed citations
19.
Yan, Yan, et al.. (2009). Research on assembly quality evaluation based on Markov chain. 13. 1366–1370. 4 indexed citations
20.
Zhang, Faping. (2004). Machining errors analysis based on stiffness of workpiece-fixture system. Modular Machine Tool & Automatic Manufacturing Technique. 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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