Wanru Wang

22 papers receiving 739 citations

Peers

Wanru Wang
Comparison fields: 5 of 136
  • Statistics, Probability and Uncertainty 56
  • Management Information Systems 69
  • Management Science and Operations Research 89
  • Strategy and Management 96
  • Industrial and Manufacturing Engineering 60
Replace Kefan Xie with:
Kefan Xie China
Maísa Mendonça Silva Brazil
Adam Zagorecki United Kingdom
Maxim Shcherbakov Russia
Vera Miguéis Portugal
Majid Mohammadi Iran
Yanfang Ma China
Onur Doğan Türkiye
Zeynep Didem Unutmaz Durmuşoğlu Türkiye
Jaime Miranda Chile
Wanru Wang relative to Kefan Xie China Kefan Xie's profile →
Citations per field
00.5×3.7×
Kefan Xie · 1×
Citations per year

Countries citing papers authored by Wanru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wanru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanru 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 Wanru Wang Line = papers co-authored together Wanru Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017207
2 2017112
3 201873
4 201867
5 202449
6 202244
7 201841
8 201739
9 202329
10 201719
11 202015
12 202311
13 201810
14 20217
15 20226
16 20176
17 20235
18 20235
19 20253
20 20222

About Wanru Wang

Wanru Wang is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Artificial Intelligence, Strategy and Management and Information Systems, having authored 27 papers that have together received 752 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Multi-Criteria Decision Making (2 papers), Transportation Planning and Optimization (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Bioinformatics and Genomic Networks (2 papers), Video Surveillance and Tracking Methods (2 papers), Cognitive Science and Mapping (2 papers) and Competitive and Knowledge Intelligence (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (56 citations), Management Information Systems (69 citations), Management Science and Operations Research (89 citations), Strategy and Management (96 citations) and Industrial and Manufacturing Engineering (60 citations). Wanru Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dejian Yu, Zeshui Xu, Witold Pedrycz, Shuai Zhang, Wenyu Zhang, Rong‐Yu Liu, Song Xu, Kannan Govindan, Wenting Yang and Manuel J. Cobo. Their work appears in journals such as Journal of Informetrics, International Journal of Production Economics, Expert Systems with Applications, Computers & Industrial Engineering and Process Biochemistry.

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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