Weifan Wang

2.2k citations
119 papers · 1.5k · h-index 20

Impact in

Papers in

Weifan Wang

105 papers receiving 1.4k citations

Peers

Weifan Wang
Comparison fields: 5 of 70
  • Discrete Mathematics and Combinatorics 342
  • Computational Theory and Mathematics 1.2k
  • Computer Graphics and Computer-Aided Design 212
  • Geometry and Topology 327
  • Computer Networks and Communications 197
Replace Michael D. Plummer with:
Michael D. Plummer United States
Stanislav Jendrol′ Slovakia
Gerhard Ringel United States
Hong‐Jian Lai United States
Jing Huang Canada
Arthur T. White United States
Jin Akiyama Japan
Seiya Negami Japan
Alexander Kelmans United States
Xueliang Li China
Weifan Wang relative to Michael D. Plummer United States Michael D. Plummer's profile →
Citations per field
00.5×4.3×
Michael D. Plummer · 1×
Citations per year

Countries citing papers authored by Weifan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weifan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016141
2 2015100
3 200371
4 200268
5 200654
6 200350
7 201647
8 200241
9 200839
10 200235
11 202032
12 200829
13 200128
14 200927
15 200623
16 201122
17 201722
18 201121
19 200319
20 201219

About Weifan Wang

Weifan Wang is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Geometry and Topology, having authored 119 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (103 papers), Graph Labeling and Dimension Problems (53 papers), Limits and Structures in Graph Theory (39 papers), Computational Geometry and Mesh Generation (24 papers), Graph theory and applications (15 papers), graph theory and CDMA systems (13 papers), Interconnection Networks and Systems (12 papers) and Optimization and Search Problems (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (342 citations), Computational Theory and Mathematics (1.2k citations), Computer Graphics and Computer-Aided Design (212 citations), Geometry and Topology (327 citations) and Computer Networks and Communications (197 citations). Weifan Wang has collaborated with scholars based in China, Taiwan and France. Frequent co-authors include Ko‐Wei Lih, Wei Gao, André Raspaud, Mohammad Reza Farahani, Min Chen, Wei Gao, Xuding Zhu, Yuehua Bu, Yaojun Chen and Mickaël Montassier. Their work appears in journals such as Discrete Mathematics, Discrete Applied Mathematics, Journal of Graph Theory, Applied Mathematics and Computation and Theoretical Computer Science.

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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