Mingshun Song

491 total citations · 1 hit paper
13 papers, 383 citations indexed

About

Mingshun Song is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Radiological and Ultrasound Technology. According to data from OpenAlex, Mingshun Song has authored 13 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics, Probability and Uncertainty, 5 papers in Management Science and Operations Research and 2 papers in Radiological and Ultrasound Technology. Recurrent topics in Mingshun Song's work include Risk and Safety Analysis (4 papers), Multi-Criteria Decision Making (3 papers) and Advanced Statistical Methods and Models (2 papers). Mingshun Song is often cited by papers focused on Risk and Safety Analysis (4 papers), Multi-Criteria Decision Making (3 papers) and Advanced Statistical Methods and Models (2 papers). Mingshun Song collaborates with scholars based in China. Mingshun Song's co-authors include Hu‐Chen Liu, Jia Huang, Jianxin You, Dong-Hui Xu, Chunyan Duan, Yueyi Zhang, Lixiang Li, Jing Hu, Yilin Wang and Zheng Chen and has published in prestigious journals such as Journal of Business Research, RSC Advances and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Mingshun Song

11 papers receiving 373 citations

Hit Papers

Failure mode and effect analysis improvement: A systemati... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingshun Song China 6 164 144 65 46 46 13 383
Soumava Boral India 11 247 1.5× 111 0.8× 66 1.0× 112 2.4× 39 0.8× 14 459
Ching‐Liang Chang Taiwan 6 241 1.5× 141 1.0× 70 1.1× 38 0.8× 21 0.5× 8 438
Antônio César Ferreira Guimarães Brazil 10 173 1.1× 207 1.4× 103 1.6× 26 0.6× 41 0.9× 16 428
Vahid Khodakarami Iran 7 134 0.8× 89 0.6× 24 0.4× 64 1.4× 66 1.4× 11 309
Zhanwen Niu China 14 122 0.7× 84 0.6× 33 0.5× 128 2.8× 17 0.4× 48 446
Mesut Kumru Türkiye 8 109 0.7× 55 0.4× 26 0.4× 95 2.1× 21 0.5× 12 307
Suprakash Gupta India 12 86 0.5× 138 1.0× 109 1.7× 41 0.9× 94 2.0× 32 397
Mohamed Tkiouat Morocco 11 71 0.4× 91 0.6× 99 1.5× 48 1.0× 80 1.7× 40 539
Faruk Serin Türkiye 9 170 1.0× 91 0.6× 10 0.2× 67 1.5× 68 1.5× 25 415
Komal India 11 166 1.0× 114 0.8× 107 1.6× 22 0.5× 14 0.3× 35 378

Countries citing papers authored by Mingshun Song

Since Specialization
Citations

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

Fields of papers citing papers by Mingshun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingshun Song

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

All Works

13 of 13 papers shown
1.
Huang, Minhao, et al.. (2023). A Bibliometric Review on Supplier Evaluation and Selection. Communications in computer and information science. 496–507. 1 indexed citations
2.
Hu, Jing, et al.. (2022). Mechanism of latecomer enterprises’ technological catch-up in technical standards alliances – An ambidextrous innovation perspective. Journal of Business Research. 154. 113321–113321. 16 indexed citations
3.
Huang, Jia, Jianxin You, Hu‐Chen Liu, & Mingshun Song. (2020). Failure mode and effect analysis improvement: A systematic literature review and future research agenda. Reliability Engineering & System Safety. 199. 106885–106885. 187 indexed citations breakdown →
4.
Huang, Jia, Hu‐Chen Liu, Chunyan Duan, & Mingshun Song. (2019). An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method. Annals of Operations Research. 312(1). 235–258. 60 indexed citations
5.
Huang, Jia, Dong-Hui Xu, Hu‐Chen Liu, & Mingshun Song. (2019). A New Model for Failure Mode and Effect Analysis Integrating Linguistic Z-Numbers and Projection Method. IEEE Transactions on Fuzzy Systems. 29(3). 530–538. 79 indexed citations
8.
Zhang, Yueyi, Lixiang Li, Tai-Yi Chen, & Mingshun Song. (2016). Optimization of Taguchi’s on-line quality feedback control system. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 231(12). 2173–2183. 4 indexed citations
9.
Zhang, Yueyi, et al.. (2016). Optimal tolerance design of hierarchical products based on quality loss function. Journal of Intelligent Manufacturing. 30(1). 185–192. 17 indexed citations
10.
Wu, Xinzhou, Zheng Chen, Teng Zhou, et al.. (2015). Printable poly(methylsilsesquioxane) dielectric ink and its application in solution processed metal oxide thin-film transistors. RSC Advances. 5(27). 20924–20930. 13 indexed citations
11.
Zhang, Yueyi, et al.. (2011). Design of Quality Loss Function under the Smaller the Better Characteristic without Neglecting the Linear Term. 14(6). 81. 3 indexed citations
13.
Song, Mingshun, et al.. (2009). Applying the Principle of Maximum Entropy in Bayesian Prior Distribution Assignment. Asian Journal on Quality. 10(3). 37–42. 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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