Weize Wang

48 papers receiving 1.5k citations

Hit Papers

Intuitionistic Fuzzy Information Aggregation Using Einstein Operations 2012 · 336 citations
3362012202620162021100200300

Peers

Weize Wang
Comparison fields: 5 of 116
  • Management Science and Operations Research 1.3k
  • Statistics and Probability 597
  • Control and Systems Engineering 783
  • Computational Theory and Mathematics 210
  • Management, Monitoring, Policy and Law 114
Replace Xiaopu Shang with:
Xiaopu Shang China
Lu Lu United States
Amirhossein Amiri Iran
Xiaomin Zhu China
Xue‐Feng Ding China
Peter Morgan United Kingdom
Augustine O. Esogbue United States
Selvaraj Geetha India
Brigitte Werners Germany
Weize Wang relative to Xiaopu Shang China Xiaopu Shang's profile →
Citations per field
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Xiaopu Shang · 1×
Citations per year

Countries citing papers authored by Weize Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weize Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Weize Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weize Wang Line = papers co-authored together Weize Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202514
2 20250
3 20252
4 20203
5 20209
6 20204
7 202032
8 201911
9 20195
10 20195
11 20194
12 20193
13 20185
14 201810
15 20171
16 201616
17 20152
18 201416
19 201372
20
Interval-valued intuitionistic fuzzy aggregation operators
201227

About Weize Wang

Weize Wang is a scholar working on Statistics and Probability, Management Science and Operations Research, Control and Systems Engineering, General Social Sciences and General Health Professions, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (26 papers), Fuzzy Systems and Optimization (17 papers), Optimization and Mathematical Programming (14 papers), Migration, Health and Trauma (5 papers), Fuzzy Logic and Control Systems (4 papers), HIV/AIDS Research and Interventions (4 papers), Racial and Ethnic Identity Research (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Statistics and Probability (597 citations), Control and Systems Engineering (783 citations), Computational Theory and Mathematics (210 citations) and Management, Monitoring, Policy and Law (114 citations). Weize Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinwang Liu, Zhou-Jing Wang, Kevin Li, Yong Qin, Jerry M. Mendel, Yue Pan, Christopher F. Tirotta, Richard G. Lagueruela, Mario De La Rosa and Mariana Sánchez. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, International Journal of Intelligent Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, World Medical & Health Policy and Information Sciences.

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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