Yue-Li Wang

1.3k citations
99 papers · 928 · h-index 14

Impact in

Papers in

Yue-Li Wang

91 papers receiving 888 citations

Peers

Yue-Li Wang
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 343
  • Computer Networks and Communications 450
  • Discrete Mathematics and Combinatorics 28
  • Geometry and Topology 53
  • Computer Graphics and Computer-Aided Design 20
Replace Thanh‐Tung Bui with:
Thanh‐Tung Bui United States
Takehiro Ito Japan
Akira Tanaka Japan
Wenli Zhou China
Erich Grädel Germany
Saurabh Ray United States
Łukasz Kowalik Poland
Olivier Dubois France
Rosenberg United States
Shin-ichi Nakano Japan
Yue-Li Wang relative to Thanh‐Tung Bui United States Thanh‐Tung Bui's profile →
Citations per field
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Thanh‐Tung Bui · 1×
Citations per year

Countries citing papers authored by Yue-Li Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yue-Li Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014115
2 200660
3
Optimal Independent Spanning Trees on Hypercubes
200448
4 200742
5 200939
6 201438
7 200835
8 201322
9 201021
10 199319
11 201017
12 201617
13 200315
14 199914
15 201913
16 199513
17 201312
18 199612
19 201711
20 200311

About Yue-Li Wang

Yue-Li Wang is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine and Geometry and Topology, having authored 99 papers that have together received 928 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (40 papers), Interconnection Networks and Systems (30 papers), Graph Labeling and Dimension Problems (15 papers), Complexity and Algorithms in Graphs (9 papers), graph theory and CDMA systems (8 papers), VLSI and FPGA Design Techniques (6 papers), Cardiovascular Function and Risk Factors (6 papers) and Graph theory and applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (343 citations), Computer Networks and Communications (450 citations), Discrete Mathematics and Combinatorics (28 citations), Geometry and Topology (53 citations) and Computer Graphics and Computer-Aided Design (20 citations). Yue-Li Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jou–Ming Chang, Shyue-Ming Tang, Jinn‐Shyong Yang, Jie Du, Yulin Li, Yina Wu, Yungho Leu, Hui‐Hua Li, Congcong Zhang and Xi A. Their work appears in journals such as Discrete Applied Mathematics, Theoretical Computer Science, Discrete Mathematics, IEEE Transactions on Parallel and Distributed Systems and European Journal of Operational Research.

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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