Zengru Di

4.6k citations
173 papers · 3.3k indexed · 1 hit paper · h-index 28
Topics
Complex Network Analysis Techniques (101 papers)Opinion Dynamics and Social Influence (68 papers)Evolutionary Game Theory and Cooperation (20 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Zengru Di

159 papers receiving 3.2k citations

Hit Papers

Exact controllability of complex networks20132026201720212013100200300400

Peers

Zengru Di
Comparison fields: 5 of 191
  • Statistical and Nonlinear Physics 1.7k
  • Computer Networks and Communications 612
  • Molecular Biology 542
  • Artificial Intelligence 382
  • Economics and Econometrics 273
Replace Jianxi Gao with:
Jianxi Gao United States
Marta Sales‐Pardo Spain
Massimiliano Zanin Spain
Roni Parshani Israel
An Zeng China
Pietro Panzarasa United Kingdom
Vincenzo Nicosia United Kingdom
Gergely Palla Hungary
Ying Fan China
Sune Lehmann Denmark
Zengru Di relative to Jianxi Gao United States Jianxi Gao's profile →
Citations per field
00.5×1.5×
Jianxi Gao · 1×
Citations per year

Countries citing papers authored by Zengru Di

Since Specialization
Citations

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

Fields of papers citing papers by Zengru Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengru Di

This figure shows the co-authorship network connecting the top 25 collaborators of Zengru Di. A scholar is included among the top collaborators of Zengru Di 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 Zengru Di. Zengru Di 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
1 0
2 6
3 0
4 0
5 4
6 7
7 6
8 1
9 3
10 1
11 3
12 5
13 5
14 6
15 3
16 3
17 24
18 23
19
Review on Spatial Networks
0
20 7

About Zengru Di

Zengru Di is a scholar working on Statistical and Nonlinear Physics, Computational Mathematics and Statistics, Probability and Uncertainty, having authored 173 papers that have together received 3.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (101 papers), Opinion Dynamics and Social Influence (68 papers) and Evolutionary Game Theory and Cooperation (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Transportation (221 citations) and Statistics, Probability and Uncertainty (210 citations). Zengru Di has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying Fan, Menghui Li, Wen-Xu Wang, Ying‐Cheng Lai, An Zeng, Zhengzhong Yuan, Zhao Chen, Zhesi Shen, Liang Gao and Jinshan Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

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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