Yilun Shang

5.4k citations
261 papers · 4.1k · h-index 37

Impact in

Papers in

Yilun Shang

240 papers receiving 3.9k citations

Peers

Yilun Shang
Comparison fields: 5 of 141
  • Geometry and Topology 997
  • Statistical and Nonlinear Physics 1.2k
  • Computer Networks and Communications 1.4k
  • Computational Theory and Mathematics 882
  • Modeling and Simulation 219
Replace Abraham Berman with:
Abraham Berman Israel
Miroslav Fiedler Czechia
Geoffrey Grimmett United Kingdom
Robert J. Plemmons United States
Gert Sabidussi Canada
Pei Yu Canada
Chris Godsil Canada
Fred S. Roberts United States
Linyuan Lü United States
Zhongzhi Zhang China
Yilun Shang relative to Abraham Berman Israel Abraham Berman's profile →
Citations per field
00.5×4.8×
Abraham Berman · 1×
Citations per year

Countries citing papers authored by Yilun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yilun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 261 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021103
2 201090
3 201885
4 201784
5 201376
6 201766
7 201463
8 201661
9 201961
10 201561
11 201960
12 202358
13 201757
14 201856
15 202155
16 201654
17 201453
18 201352
19 202052
20 201351

About Yilun Shang

Yilun Shang is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics, Computer Networks and Communications, Computational Theory and Mathematics and Mathematical Physics, having authored 261 papers that have together received 4.1k indexed citations. Recurring topics across this work include Graph theory and applications (95 papers), Complex Network Analysis Techniques (92 papers), Opinion Dynamics and Social Influence (59 papers), Distributed Control Multi-Agent Systems (55 papers), Neural Networks Stability and Synchronization (37 papers), Stochastic processes and statistical mechanics (32 papers), Graph Labeling and Dimension Problems (25 papers) and Advanced Graph Theory Research (24 papers). The work is most often cited by research in Geometry and Topology (997 citations), Statistical and Nonlinear Physics (1.2k citations), Computer Networks and Communications (1.4k citations), Computational Theory and Mathematics (882 citations) and Modeling and Simulation (219 citations). Yilun Shang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kinkar Chandra Das, Roland Bouffanais, İsmail Naci Cangül, A. Sinan Çevik, Muhammad Azeem, Hilal A. Ganie, Muhammad Kamran Jamil, Abdollah Alhevaz, Yiting Yang and Bilal Ahmad Rather. Their work appears in journals such as Symmetry, Heliyon, Applied Mathematics and Computation, Physical review. E and International Journal of Systems 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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