Weifan Wang
Impact in
- Computational Theory and Mathematics top 0.5%
- Graph Labeling and Dimension Problems
- Advanced Graph Theory Research
- Computational Drug Discovery Methods
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- Limits and Structures in Graph Theory
Papers in
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- Graph Labeling and Dimension Problems 72
- Advanced Graph Theory Research 64
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- Graph theory and applications 19
- Co-authors
- Yiqiao Wang (47 shared papers)Wei Gao (6 shared papers)Wei Gao (4 shared papers)Danjun Huang (17 shared papers)Darko Dimitrov (1 shared paper)Ko‐Wei Lih (6 shared papers)Min Chen (9 shared papers)Xuding Zhu (3 shared papers)
In The Last Decade
Weifan Wang
102 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 918
- Discrete Mathematics and Combinatorics 176
- Geometry and Topology 208
- Computer Graphics and Computer-Aided Design 70
- Safety, Risk, Reliability and Quality 36
Countries citing papers authored by Weifan Wang
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
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.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 174 | |
| 2 | 2017 | 92 | |
| 3 | 2015 | 72 | |
| 4 | 2016 | 57 | |
| 5 | 2014 | 56 | |
| 6 | 2017 | 43 | |
| 7 | 2008 | 40 | |
| 8 | 2012 | 39 | |
| 9 | 2017 | 35 | |
| 10 | 2008 | 33 | |
| 11 | 2005 | 33 | |
| 12 | 2016 | 32 | |
| 13 | 2012 | 31 | |
| 14 | 2013 | 30 | |
| 15 | 2001 | 28 | |
| 16 | 2011 | 25 | |
| 17 | 2003 | 23 | |
| 18 | 2007 | 21 | |
| 19 | 2010 | 21 | |
| 20 | 2011 | 19 |
About Weifan Wang
Weifan Wang is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Graph Labeling and Dimension Problems (72 papers), Advanced Graph Theory Research (64 papers), Graph theory and applications (19 papers), Limits and Structures in Graph Theory (18 papers), graph theory and CDMA systems (18 papers), Computational Geometry and Mesh Generation (16 papers), Interconnection Networks and Systems (9 papers) and Photochromic and Fluorescence Chemistry (9 papers). The work is most often cited by research in Computational Theory and Mathematics (918 citations), Discrete Mathematics and Combinatorics (176 citations), Geometry and Topology (208 citations), Computer Graphics and Computer-Aided Design (70 citations) and Safety, Risk, Reliability and Quality (36 citations). Weifan Wang has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Yiqiao Wang, Wei Gao, Wei Gao, Danjun Huang, Darko Dimitrov, Ko‐Wei Lih, Min Chen, Xuding Zhu, Mirko Horňák and Ping Wang. Their work appears in journals such as Journal of Combinatorial Optimization, Discrete Applied Mathematics, Discrete Mathematics, Journal of Graph Theory and Graphs and Combinatorics.
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.