Minghui Cheng

959 total citations
25 papers, 696 citations indexed

About

Minghui Cheng is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Minghui Cheng has authored 25 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 9 papers in Electrical and Electronic Engineering and 4 papers in Plant Science. Recurrent topics in Minghui Cheng's work include Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (8 papers) and Aluminum Alloys Composites Properties (5 papers). Minghui Cheng is often cited by papers focused on Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (8 papers) and Aluminum Alloys Composites Properties (5 papers). Minghui Cheng collaborates with scholars based in China, Taiwan and New Zealand. Minghui Cheng's co-authors include Pei Yan, Fucang Zhang, Junliang Fan, Haidong Wang, Tianyang Qiu, Xiukang Wang, Xibin Wang, Lifeng Wu, Jiao Li and Yufeng Zou and has published in prestigious journals such as Advanced Materials, Sensors and Journal of Alloys and Compounds.

In The Last Decade

Minghui Cheng

23 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Cheng China 10 276 228 226 155 104 25 696
John K. Schueller United States 21 308 1.1× 99 0.4× 726 3.2× 125 0.8× 52 0.5× 111 1.3k
Kamran Shah Pakistan 12 437 1.6× 139 0.6× 86 0.4× 68 0.4× 52 0.5× 40 892
Miguel Ángel Muñoz-García Spain 16 99 0.4× 208 0.9× 192 0.8× 197 1.3× 13 0.1× 45 924
Hanping Mao China 18 187 0.7× 96 0.4× 491 2.2× 53 0.3× 16 0.2× 57 863
Fiaz Ahmad Pakistan 18 229 0.8× 133 0.6× 368 1.6× 65 0.4× 7 0.1× 63 881
Pengfei Wen China 14 67 0.2× 147 0.6× 165 0.7× 90 0.6× 23 0.2× 45 715
Farman Ali Chandio China 16 255 0.9× 193 0.8× 511 2.3× 75 0.5× 9 0.1× 53 1.1k
E.A. van Os Netherlands 17 133 0.5× 191 0.8× 870 3.8× 58 0.4× 19 0.2× 84 1.2k
Jafar Massah Iran 17 114 0.4× 68 0.3× 357 1.6× 71 0.5× 14 0.1× 48 786
Jinwu Wang China 17 535 1.9× 168 0.7× 226 1.0× 65 0.4× 10 0.1× 109 995

Countries citing papers authored by Minghui Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Cheng. A scholar is included among the top collaborators of Minghui Cheng 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 Minghui Cheng. Minghui Cheng 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, Yong, Zuolin Zhang, Yan Cai, et al.. (2025). Synergistic Isothiourea–Guanidine Additive for Achieving Stable Perovskite Solar Cells with a High Certified Quasi‐Steady‐State Output. Advanced Materials. 38(3). e14903–e14903. 3 indexed citations
2.
3.
Chen, Haiqing, Xiaogang Liu, Lang Wu, et al.. (2024). Optimizing Split-reduced drip fertigation schemes of Arabica coffee based on soil microcosms, bean yield, quality and flavor in dry-hot region of southwest China. Scientia Horticulturae. 336. 113418–113418. 2 indexed citations
4.
Li, Jiaxin, et al.. (2024). Effect of Ni on the mechanical and corrosion properties of TiC-reinforced steel matrix composites. Materials Today Communications. 41. 110274–110274. 4 indexed citations
5.
Zhao, Jian, et al.. (2024). Effect of addition on microstructures and mechanical properties of cBN/Cu-Zn-Ti composites via the pulse electric current sintering. Journal of Alloys and Compounds. 1010. 177455–177455. 1 indexed citations
6.
Li, Jiaxin, et al.. (2024). Progress in the preparation method and mechanical properties of TiC particle-reinforced steel matrix composites. Materials Today Communications. 42. 111311–111311.
7.
Li, Jiaxin, et al.. (2024). Effects of Mn on the interface bonding and mechanical properties of TiC reinforced steel matrix composites. Ceramics International. 50(9). 16650–16662. 12 indexed citations
8.
9.
Yan, Pei, et al.. (2022). Real-time intelligent processing monitoring system and its performance evaluation. 68–68. 1 indexed citations
10.
Li, Jiao, et al.. (2022). Research on Deep-Hole Drilling of High-Strength Steel Using Slender Gun Drill. International Journal of Precision Engineering and Manufacturing. 23(8). 853–868. 2 indexed citations
11.
Li, Jiao, Pei Yan, Minghui Cheng, et al.. (2022). Evolution of hole surface integrity in successive processing using sequential milling and laser shock peening. Journal of Manufacturing Processes. 75. 833–852. 7 indexed citations
12.
Cheng, Minghui, Jiao Li, Pei Yan, et al.. (2021). Prediction of surface residual stress in end milling with Gaussian process regression. Measurement. 178. 109333–109333. 51 indexed citations
13.
Cheng, Minghui, et al.. (2021). Intelligent tool wear monitoring and multi-step prediction based on deep learning model. Journal of Manufacturing Systems. 62. 286–300. 152 indexed citations
14.
Cheng, Minghui, Haidong Wang, Junliang Fan, et al.. (2021). Crop yield and water productivity under salty water irrigation: A global meta-analysis. Agricultural Water Management. 256. 107105–107105. 70 indexed citations
15.
Cheng, Minghui, et al.. (2020). An intelligent prediction model of the tool wear based on machine learning in turning high strength steel. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 234(13). 1580–1597. 43 indexed citations
16.
Wang, Haidong, Lifeng Wu, Xiukang Wang, et al.. (2020). Optimization of water and fertilizer management improves yield, water, nitrogen, phosphorus and potassium uptake and use efficiency of cotton under drip fertigation. Agricultural Water Management. 245. 106662–106662. 67 indexed citations
17.
Wang, Haidong, Lifeng Wu, Minghui Cheng, et al.. (2018). Coupling effects of water and fertilizer on yield, water and fertilizer use efficiency of drip-fertigated cotton in northern Xinjiang, China. Field Crops Research. 219. 169–179. 197 indexed citations
18.
Huang, Ya‐Ling & Minghui Cheng. (2017). The practice of social design-a case study on the fashion Brand development of a traditional aboriginal village. 25. 1339–1342. 1 indexed citations
19.
Cheng, Minghui, Kao‐Shing Hwang, Jyh-Horng Jeng, & Nai-Wei Lin. (2013). Classification-based video super-resolution using artificial neural networks. Signal Processing. 93(9). 2612–2625. 6 indexed citations
20.
Cheng, Minghui, Nai-Wei Lin, Kao‐Shing Hwang, & Jyh-Horng Jeng. (2012). Fast video super-resolution using artificial neural networks. 9 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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