Sheng Qu

527 total citations
25 papers, 393 citations indexed

About

Sheng Qu is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Sheng Qu has authored 25 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 15 papers in Biomedical Engineering and 8 papers in Computational Mechanics. Recurrent topics in Sheng Qu's work include Advanced Surface Polishing Techniques (14 papers), Advanced machining processes and optimization (13 papers) and Laser Material Processing Techniques (7 papers). Sheng Qu is often cited by papers focused on Advanced Surface Polishing Techniques (14 papers), Advanced machining processes and optimization (13 papers) and Laser Material Processing Techniques (7 papers). Sheng Qu collaborates with scholars based in China and Belarus. Sheng Qu's co-authors include Tianbiao Yu, Zhelun Ma, Zixuan Wang, Liaoyuan Chen, Qinghua Wang, Hao Chen, Fanwei Meng, Ji Zhao, Huimin Wu and Xun Zhang and has published in prestigious journals such as Sensors and Actuators B Chemical, RSC Advances and Journal of Materials Processing Technology.

In The Last Decade

Sheng Qu

22 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Qu China 12 269 247 151 53 44 25 393
S. Habib Alavi United States 15 427 1.6× 139 0.6× 100 0.7× 121 2.3× 118 2.7× 27 600
Viboon Saetang Thailand 10 99 0.4× 148 0.6× 109 0.7× 54 1.0× 91 2.1× 23 287
Guosheng Su China 13 387 1.4× 75 0.3× 58 0.4× 30 0.6× 102 2.3× 29 479
Abishek B. Kamaraj United States 14 321 1.2× 285 1.2× 420 2.8× 29 0.5× 58 1.3× 23 556
Houxiao Wang China 15 245 0.9× 238 1.0× 97 0.6× 292 5.5× 33 0.8× 31 443
Lianyong Xu China 14 272 1.0× 126 0.5× 195 1.3× 8 0.2× 107 2.4× 29 458
Peter Bocchini United States 12 465 1.7× 269 1.1× 78 0.5× 23 0.4× 92 2.1× 15 599
Dragan Adamović Serbia 9 148 0.6× 41 0.2× 38 0.3× 31 0.6× 90 2.0× 38 273
Jan Felba Poland 11 94 0.3× 127 0.5× 314 2.1× 12 0.2× 74 1.7× 81 416

Countries citing papers authored by Sheng Qu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Qu. A scholar is included among the top collaborators of Sheng Qu 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 Sheng Qu. Sheng Qu 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, Wenze, Sheng Qu, Jing‐Feng Li, et al.. (2025). Fabrication of Cu-MOFs derived nanofiber membranes for efficient removal of environmental pollutants. Journal of Materials Chemistry C. 13(15). 7591–7602.
2.
Li, Wenze, Zhe Yuan, Sheng Qu, & Jian Luan. (2025). Robust superhydrophilic and underwater superoleophobic membrane based on copper-organic framework modified carbon nanotube for oil-water and dye separation. Journal of Solid State Chemistry. 348. 125381–125381. 1 indexed citations
3.
Qu, Sheng, Xingwei Sun, Tianbiao Yu, et al.. (2025). The effect of novel silica-based polishing solution on the UV-CMP performances of K9 optical glass. Ceramics International. 52(2). 2043–2059.
4.
Qu, Sheng, Xingwei Sun, Yin Liu, et al.. (2025). Optimization of the components and polishing performances of SiO2 slurry containing K2CO3 and KH550 for UV-CMP of K9 optical glass. Ceramics International. 51(21). 34616–34628. 1 indexed citations
5.
6.
Qu, Sheng, Xingwei Sun, Yin Liu, et al.. (2024). Simulation and experimental investigation of material removal profile based on ultrasonic vibration polishing of K9 optical glass. Tribology International. 196. 109730–109730. 21 indexed citations
7.
Qu, Sheng, et al.. (2024). Desired properties of polymeric hydrogel vitreous substitute. Biomedicine & Pharmacotherapy. 172. 116154–116154. 14 indexed citations
8.
Qu, Sheng, Tao Yu, Fanwei Meng, et al.. (2023). Material removal rate prediction and surface quality study for ultrasonic vibration polishing of monocrystalline silicon. The International Journal of Advanced Manufacturing Technology. 127(9-10). 4789–4802. 4 indexed citations
9.
Meng, Fanwei, Sheng Qu, Yingdong Liang, et al.. (2023). Prediction of quadratic cylinder surface morphology for ultrasonic assisted polishing. Measurement. 225. 114025–114025. 5 indexed citations
10.
Meng, Fanwei, Yingdong Liang, Chao Zhang, et al.. (2022). Sub-regional polishing and machining trajectory selection of complex surface based on K9 optical glass. Journal of Materials Processing Technology. 304. 117563–117563. 17 indexed citations
11.
Ma, Zhelun, Qinghua Wang, Hao Chen, et al.. (2022). Surface prediction in laser-assisted grinding process considering temperature-dependent mechanical properties of zirconia ceramic. Journal of Manufacturing Processes. 80. 491–503. 38 indexed citations
12.
Qu, Sheng, et al.. (2022). Predictive modeling and experimental study of polishing force for ultrasonic vibration-assisted polishing of K9 optical glass. The International Journal of Advanced Manufacturing Technology. 119(5-6). 3119–3139. 12 indexed citations
13.
Chen, Liaoyuan, Zhao Yú, Fanwei Meng, et al.. (2022). Effect of TiC content on the microstructure and wear performance of in situ synthesized Ni-based composite coatings by laser direct energy deposition. Surface and Coatings Technology. 444. 128678–128678. 40 indexed citations
14.
Zhang, Chao, Sheng Qu, Wenchao Xi, et al.. (2022). Preparation of a novel vitrified bond CBN grinding wheel and study on the grinding performance. Ceramics International. 48(11). 15565–15575. 10 indexed citations
15.
Ma, Zhelun, Qinghua Wang, Hao Chen, et al.. (2022). A grinding force predictive model and experimental validation for the laser-assisted grinding (LAG) process of zirconia ceramic. Journal of Materials Processing Technology. 302. 117492–117492. 119 indexed citations
16.
Qu, Sheng, Zixuan Wang, Chao Zhang, et al.. (2021). Material removal profile prediction and experimental validation for obliquely axial ultrasonic vibration-assisted polishing of K9 optical glass. Ceramics International. 47(23). 33106–33119. 22 indexed citations
17.
Qu, Sheng, Yingdong Liang, Zhelun Ma, et al.. (2021). Experimental investigation of ultrasonic-vibration polishing of K9 optical glass based on ultrasonic atomization. Ceramics International. 48(7). 9067–9074. 13 indexed citations
18.
Wang, Zixuan, et al.. (2019). A numerical method to predict work-hardening caused by plastic deformation. Engineering Analysis with Boundary Elements. 112. 25–38. 1 indexed citations
19.
Qu, Sheng, He Mei, Huimin Wu, Xun Zhang, & Shengfu Wang. (2014). A highly sensitive non-enzymatic glucose sensor based on PtxCo1−x/C nanostructured composites. Sensors and Actuators B Chemical. 207. 51–58. 24 indexed citations
20.
Qu, Sheng, Huimin Wu, David Wexler, & Huan Liu. (2014). Effects of Reducing Temperatures on the Hydrogen Storage Capacity of Double-Walled Carbon Nanotubes with Pd Loading. Journal of Nanoscience and Nanotechnology. 14(6). 4706–4709. 3 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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2026