Cun‐Quan Zhang

2.6k citations
139 papers · 1.5k indexed · h-index 19
Topics
Advanced Graph Theory Research (90 papers)Limits and Structures in Graph Theory (54 papers)graph theory and CDMA systems (36 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Cun‐Quan Zhang

125 papers receiving 1.4k citations

Peers

Cun‐Quan Zhang
Comparison fields: 5 of 123
  • Computational Theory and Mathematics 861
  • Discrete Mathematics and Combinatorics 414
  • Electrical and Electronic Engineering 242
  • Computer Networks and Communications 233
  • Geometry and Topology 231
Replace Suohai Fan with:
Suohai Fan China
Abdol‐Hossein Esfahanian United States
Yuchen Fu China
Palash Sarkar India
E. Kay United Kingdom
Binhai Zhu United States
Gleb Gusev Russia
Toshinori Munakata United States
D.V. Tošić Serbia
Min Lü China
Cun‐Quan Zhang relative to Suohai Fan China Suohai Fan's profile →
Citations per field
00.5×9.2×
Suohai Fan · 1×
Citations per year

Countries citing papers authored by Cun‐Quan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Cun‐Quan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cun‐Quan Zhang. 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 Cun‐Quan Zhang. The network helps show where Cun‐Quan Zhang may publish in the future.

Co-authorship network of co-authors of Cun‐Quan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Cun‐Quan Zhang. A scholar is included among the top collaborators of Cun‐Quan Zhang 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 Cun‐Quan Zhang. Cun‐Quan Zhang 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
#WorkIndexed citations
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6 15
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14 30
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Permutation graphs and Petersen graph.
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About Cun‐Quan Zhang

Cun‐Quan Zhang is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 139 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (90 papers), Limits and Structures in Graph Theory (54 papers) and graph theory and CDMA systems (36 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (414 citations), Computational Theory and Mathematics (861 citations) and Geometry and Topology (231 citations). Cun‐Quan Zhang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yezhou Wu, Edgar Fuller, Xingqin Qi, Qin Wu, Rong Luo, Carsten Thomassen, Lei Wang, Jitian Han, Hongxia Zhao and Hong‐Jian Lai. Their work appears in journals such as Energy, BMC Bioinformatics 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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