Meng Cheng

2.0k total citations
5 papers, 38 citations indexed

About

Meng Cheng is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Meng Cheng has authored 5 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 2 papers in Management Science and Operations Research and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Meng Cheng's work include Probabilistic and Robust Engineering Design (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Optimal Experimental Design Methods (2 papers). Meng Cheng is often cited by papers focused on Probabilistic and Robust Engineering Design (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Optimal Experimental Design Methods (2 papers). Meng Cheng collaborates with scholars based in China and United Kingdom. Meng Cheng's co-authors include Jiexiang Hu, Qi Zhou, Leshi Shu, Ping Jiang, Quan Lin, Huaping Liu, Qian Zhang, Tianhao Wang, Rui Qin and Yi Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Structural and Multidisciplinary Optimization.

In The Last Decade

Meng Cheng

5 papers receiving 37 citations

Peers

Meng Cheng
Kathryn Maupin United States
Yong-Soo Jung South Korea
A. Prodon Switzerland
F. Wei China
Aleksei Sholokhov United States
Kathryn Maupin United States
Meng Cheng
Citations per year, relative to Meng Cheng Meng Cheng (= 1×) peers Kathryn Maupin

Countries citing papers authored by Meng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Meng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Cheng

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

All Works

5 of 5 papers shown
1.
Cui, Yingjun, et al.. (2024). Predicting Internet addiction in college students using a 1D-CNN model: analysis of influencing factors. SHILAP Revista de lepidopterología. 91(233). 66–74. 2 indexed citations
2.
Zhang, Qian, et al.. (2023). Study on mechanical properties of SAC modified ECC material and insufficient reinforcement of lining. Construction and Building Materials. 406. 133450–133450. 4 indexed citations
3.
Wang, Tianhao, et al.. (2022). Frequency Domain Feature Extraction and Long Short-Term Memory for Rolling Bearing Fault Diagnosis. Brunel University Research Archive (BURA) (Brunel University London). 2 indexed citations
4.
Hu, Jiexiang, et al.. (2021). A conservative multi-fidelity surrogate model-based robust optimization method for simulation-based optimization. Structural and Multidisciplinary Optimization. 64(4). 2525–2551. 10 indexed citations
5.
Cheng, Meng, Ping Jiang, Jiexiang Hu, Leshi Shu, & Qi Zhou. (2021). A multi-fidelity surrogate modeling method based on variance-weighted sum for the fusion of multiple non-hierarchical low-fidelity data. Structural and Multidisciplinary Optimization. 64(6). 3797–3818. 20 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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