Wanru Wang

923 total citations
27 papers, 709 citations indexed

About

Wanru Wang is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Wanru Wang has authored 27 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Wanru Wang's work include Complex Network Analysis Techniques (6 papers), Multi-Criteria Decision Making (3 papers) and Transportation Planning and Optimization (2 papers). Wanru Wang is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Multi-Criteria Decision Making (3 papers) and Transportation Planning and Optimization (2 papers). Wanru Wang collaborates with scholars based in China, United States and Canada. Wanru Wang's co-authors include Dejian Yu, Zeshui Xu, Witold Pedrycz, Shuai Zhang, Wenyu Zhang, Song Xu, Wenting Yang, Rong‐Yu Liu, Kannan Govindan and Siliang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Wanru Wang

22 papers receiving 693 citations

Peers

Wanru Wang
Comparison fields: 5 of 144
  • Artificial Intelligence 118
  • Strategy and Management 89
  • Management Science and Operations Research 83
  • Management Information Systems 63
  • Statistics, Probability and Uncertainty 62
Replace Erik Kropat with:
Erik Kropat Germany
Sigifredo Laengle Chile
Andrew J. Collins United States
Yan Tu China
Zongmin Li China
Yongchang Wei China
Maísa Mendonça Silva Brazil
Majid Mohammadi Iran
Ayşe Özmen Türkiye
Xin An China
Erik Kropat Germany View profile →
Citations per field, relative to Wanru Wang
Wanru Wang · 1×
Citations per year, relative to Wanru Wang
Wanru Wang · 1×

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-authorship network of co-authors of Wanru Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wanru Wang. A scholar is included among the top collaborators of Wanru 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 Wanru Wang. Wanru 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 28
6 9
7 5
8 1
9 0
10 0
11 14
12 1
13 5
14 70
15 38
16 39
17 18
18 109
19 5
20 200

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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