Meng Zhao

597 citations
41 papers · 386 indexed · h-index 11
Topics
Multi-Criteria Decision Making (17 papers)Digital Marketing and Social Media (11 papers)Cognitive Science and Mapping (6 papers)
Partner nations
ChinaMacaoMexico

In The Last Decade

Meng Zhao

39 papers receiving 385 citations

Peers

Meng Zhao
Comparison fields: 5 of 82
  • Management Science and Operations Research 187
  • Artificial Intelligence 139
  • Sociology and Political Science 85
  • Computational Theory and Mathematics 62
  • Marketing 48
Replace Yongming Song with:
Yongming Song China
Shengli Li China
Jie Lin China
Tzeu-Chen Han Taiwan
Juan Bernabé-Moreno Spain
Hanyang Luo China
Mehdi Fasanghari Iran
Christina Beneki Greece
Meng Zhao relative to Yongming Song China Yongming Song's profile →
Citations per field
00.5×1.5×
Yongming Song · 1×
Citations per year

Countries citing papers authored by Meng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Meng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Zhao. A scholar is included among the top collaborators of Meng Zhao 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 Zhao. Meng Zhao 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
#WorkIndexed citations
1 3
2 1
3 2
4 1
5 1
6 8
7 8
8 1
9 2
10 6
11 6
12 4
13 1
14 6
15 0
16 7
17 1
18 1
19
Compositor Method of Relative Entropy for Interval Multi-attribute Decision-making
0
20
Surfactant NTX-100 for Middle-High Temperature Viscoelastic Surfactant Fracturing Fluid
1

About Meng Zhao

Meng Zhao is a scholar working on Management Science and Operations Research, Marketing and Information Systems and Management, having authored 41 papers that have together received 386 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (17 papers), Digital Marketing and Social Media (11 papers) and Cognitive Science and Mapping (6 papers). The work is most often cited by research in Management Science and Operations Research (187 citations), Marketing (48 citations) and Artificial Intelligence (139 citations). Meng Zhao has collaborated with scholars based in China, Macao and Mexico. Frequent co-authors include Chenxi Zhang, Xiaoyü Ma, Zeshui Xu, Linyao Li, Mei Gao, Hao Liu, Huchang Liao, Zichao Li, Yue Zhang and Qian Gao. Their work appears in journals such as International Journal of Production Economics, Information Sciences and Journal of the Operational Research Society.

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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