Ying‐Ming Wang

2.7k total citations · 1 hit paper
43 papers, 2.2k citations indexed

About

Ying‐Ming Wang is a scholar working on Management Science and Operations Research, Economics and Econometrics and Environmental Engineering. According to data from OpenAlex, Ying‐Ming Wang has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 14 papers in Economics and Econometrics and 12 papers in Environmental Engineering. Recurrent topics in Ying‐Ming Wang's work include Multi-Criteria Decision Making (22 papers), Efficiency Analysis Using DEA (22 papers) and Environmental Impact and Sustainability (12 papers). Ying‐Ming Wang is often cited by papers focused on Multi-Criteria Decision Making (22 papers), Efficiency Analysis Using DEA (22 papers) and Environmental Impact and Sustainability (12 papers). Ying‐Ming Wang collaborates with scholars based in China, Hong Kong and United States. Ying‐Ming Wang's co-authors include Kwai‐Sang Chin, Ying Luo, Zhongsheng Hua, Jianbo Yang, Dong‐Ling Xu, Taha Elhag, Chunyan Duan, Hu‐Chen Liu, Fujun Lai and Gary Ka Kwai Poon and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Cleaner Production and European Journal of Operational Research.

In The Last Decade

Ying‐Ming Wang

42 papers receiving 2.1k citations

Hit Papers

On the extent analysis method for fuzzy AHP and its appli... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Ming Wang China 21 1.5k 419 323 268 249 43 2.2k
Yu-Jie Wang Taiwan 20 1.3k 0.9× 442 1.1× 220 0.7× 287 1.1× 106 0.4× 55 2.1k
Yanbing Ju China 35 1.9k 1.2× 608 1.5× 289 0.9× 519 1.9× 170 0.7× 127 3.2k
Kaveh Khalili‐Damghani Iran 34 1.4k 1.0× 568 1.4× 227 0.7× 524 2.0× 190 0.8× 149 3.0k
Lazim Abdullah Malaysia 27 1.4k 0.9× 426 1.0× 171 0.5× 335 1.3× 116 0.5× 213 2.6k
Darko Božanić Serbia 33 1.8k 1.2× 438 1.0× 241 0.7× 555 2.1× 97 0.4× 110 3.0k
Jarosław Wątróbski Poland 30 1.5k 1.0× 444 1.1× 221 0.7× 370 1.4× 81 0.3× 115 2.9k
A. Hadi‐Vencheh Iran 27 1.3k 0.9× 430 1.0× 290 0.9× 250 0.9× 93 0.4× 100 2.1k
Hsuan-Shih Lee Taiwan 22 1.4k 1.0× 340 0.8× 397 1.2× 266 1.0× 71 0.3× 66 2.1k
Gin‐Shuh Liang Taiwan 26 1.5k 1.0× 471 1.1× 97 0.3× 358 1.3× 182 0.7× 56 2.6k
Adiel Teixeira de Almeida Brazil 33 1.7k 1.1× 422 1.0× 239 0.7× 590 2.2× 553 2.2× 180 3.9k

Countries citing papers authored by Ying‐Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Ming Wang. 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 Ying‐Ming Wang. The network helps show where Ying‐Ming Wang may publish in the future.

Co-authorship network of co-authors of Ying‐Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Ming Wang. A scholar is included among the top collaborators of Ying‐Ming Wang 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 Ying‐Ming Wang. Ying‐Ming Wang 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.
Pan, Xiaohong, Shi-Fan He, Ying‐Ming Wang, & Luis Martı́nez. (2025). An ExpTODIM based multi-criteria sorting method under uncertainty. Information Fusion. 125. 103519–103519.
2.
Song, Huihui, Ying‐Ming Wang, & Luis Martı́nez. (2024). Enhancing group decision-making: Maximum consensus aggregation for fuzzy cross-efficiency under hesitant fuzzy linguistic information. Computers & Industrial Engineering. 197. 110622–110622. 1 indexed citations
3.
Ye, Fei-Fei, Long-Hao Yang, Haitian Lu, & Ying‐Ming Wang. (2022). A novel data-driven decision model based on extended belief rule base to predict China's carbon emissions. Journal of Environmental Management. 318. 115547–115547. 17 indexed citations
4.
5.
Wang, Ying‐Ming, et al.. (2022). An integrated slacks-based super-efficiency measure in the presence of nonpositive data. Omega. 111. 102669–102669. 7 indexed citations
6.
Wang, Xu, et al.. (2021). Measuring the bias of technical change of industrial energy and environment productivity in China: a global DEA-Malmquist productivity approach. Environmental Science and Pollution Research. 28(31). 41896–41911. 14 indexed citations
7.
Wang, Ying‐Ming, et al.. (2020). Regional unified environmental efficiency of China: a non-separable hybrid measure under natural and managerial disposability. Environmental Science and Pollution Research. 27(22). 27609–27625. 6 indexed citations
8.
Ye, Fei-Fei, Long-Hao Yang, Ying‐Ming Wang, & Lei Chen. (2020). An environmental pollution management method based on extended belief rule base and data envelopment analysis under interval uncertainty. Computers & Industrial Engineering. 144. 106454–106454. 20 indexed citations
9.
Wang, Ying‐Ming, et al.. (2019). An interprovincial evaluation of industrial energy and environment efficiency: what drives China to make progress in sustainability?. Environmental Science and Pollution Research. 27(5). 5222–5239. 9 indexed citations
11.
Ye, Fei-Fei & Ying‐Ming Wang. (2018). The effects of two types of environmental regulations on economic efficiency: An analysis of Chinese industries. Energy & Environment. 30(5). 898–929. 13 indexed citations
12.
Chen, Lei, et al.. (2018). A Common Set of Weights for Ranking Decision-Making Units with Undesirable Outputs: A Double Frontiers Data Envelopment Analysis Approach. Asia Pacific Journal of Operational Research. 35(6). 1850039–1850039. 4 indexed citations
13.
Chen, Lei, Ying‐Ming Wang, & Liang Wang. (2015). Congestion measurement under different policy objectives: an analysis of Chinese industry. Journal of Cleaner Production. 112. 2943–2952. 21 indexed citations
14.
Wang, Ying‐Ming, et al.. (2011). Measuring Malmquist productivity index: A new approach based on double frontiers data envelopment analysis. Mathematical and Computer Modelling. 54(11-12). 2760–2771. 66 indexed citations
15.
Wang, Ying‐Ming. (2011). A fuzzy-normalisation-based group decision-making approach for prioritising engineering design requirements in QFD under uncertainty. International Journal of Production Research. 50(23). 6963–6977. 28 indexed citations
16.
Chin, Kwai‐Sang, Ying‐Ming Wang, Gary Ka Kwai Poon, & Jianbo Yang. (2009). Failure mode and effects analysis by data envelopment analysis. Decision Support Systems. 48(1). 246–256. 163 indexed citations
17.
Wang, Ying‐Ming, Celik Parkan, & Ying Luo. (2006). Priority estimation in the AHP through maximization of correlation coefficient. Applied Mathematical Modelling. 31(12). 2711–2718. 36 indexed citations
18.
Wang, Ying‐Ming & Kwai‐Sang Chin. (2006). Discriminating DEA efficient candidates by considering their least relative total scores. Journal of Computational and Applied Mathematics. 206(1). 209–215. 38 indexed citations
19.
Wang, Ying‐Ming & Taha Elhag. (2006). An approach to avoiding rank reversal in AHP. Decision Support Systems. 42(3). 1474–1480. 120 indexed citations
20.
Hu, Nien‐Tai, et al.. (1987). Characterization of a genomic clone of Erwinia carotovora subsp. carotovora TG3 encoding a pectolytic enzyme of apparent molecular weight 78 kDa. Molecular and General Genetics MGG. 210(2). 294–298. 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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