Zengru Di

4.6k total citations · 1 hit paper
173 papers, 3.3k citations indexed

About

Zengru Di is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Zengru Di has authored 173 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Statistical and Nonlinear Physics, 28 papers in Computer Networks and Communications and 26 papers in Sociology and Political Science. Recurrent topics in Zengru Di's work include Complex Network Analysis Techniques (101 papers), Opinion Dynamics and Social Influence (68 papers) and Evolutionary Game Theory and Cooperation (20 papers). Zengru Di is often cited by papers focused on Complex Network Analysis Techniques (101 papers), Opinion Dynamics and Social Influence (68 papers) and Evolutionary Game Theory and Cooperation (20 papers). Zengru Di collaborates with scholars based in China, United States and Canada. Zengru Di's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Zengru Di

159 papers receiving 3.2k citations

Hit Papers

Exact controllability of complex networks 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exact controllability of complex networks
    2013 422 citations Zengru Di et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zengru Di China 28 1.7k 612 542 382 273 173 3.3k
Jordi Duch Spain 17 2.8k 1.6× 584 1.0× 691 1.3× 1.0k 2.7× 336 1.2× 36 4.2k
Marta Sales‐Pardo Spain 26 1.7k 1.0× 228 0.4× 1.1k 2.0× 663 1.7× 244 0.9× 70 4.0k
Jianxi Gao United States 39 3.2k 1.8× 1.2k 2.0× 700 1.3× 333 0.9× 305 1.1× 182 6.8k
Vincenzo Nicosia United Kingdom 25 1.7k 1.0× 732 1.2× 433 0.8× 327 0.9× 226 0.8× 67 3.4k
Tore Opsahl United Kingdom 11 1.6k 0.9× 358 0.6× 308 0.6× 482 1.3× 312 1.1× 15 4.2k
Mikko Kivelä Finland 19 2.4k 1.4× 667 1.1× 430 0.8× 465 1.2× 279 1.0× 50 4.0k
Sune Lehmann Denmark 32 2.0k 1.1× 494 0.8× 454 0.8× 654 1.7× 182 0.7× 102 4.8k
M. Ángeles Serrano Spain 29 2.7k 1.6× 438 0.7× 568 1.0× 345 0.9× 476 1.7× 69 4.2k
Roni Parshani Israel 7 2.8k 1.6× 1.1k 1.8× 286 0.5× 146 0.4× 233 0.9× 9 4.1k
Ying Fan China 25 1.1k 0.7× 212 0.3× 593 1.1× 358 0.9× 256 0.9× 124 2.7k

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
1.
Shi, Lei, et al.. (2025). Geometric properties of the additional third-order transitions in the two-dimensional Potts model. Physical review. E. 111(5). 54128–54128.
2.
Zhang, Zecheng, et al.. (2024). Evolutionary tinkering enriches the hierarchical and nested structures in amino acid sequences. Physical Review Research. 6(2). 6 indexed citations
3.
Wang, Ning-Ning, Yajing Wang, & Zengru Di. (2024). Chimera states and eigen microstates of nonidentical power-law coupled oscillators with heterogeneous phase lag. Chaos Solitons & Fractals. 188. 115519–115519.
4.
Zhou, Jianlin, et al.. (2024). Motifs-based link prediction for heterogeneous multilayer networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(9).
5.
Deng, Ye, et al.. (2024). Cost-Effective Network Disintegration Through Targeted Enumeration. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7657–7669. 4 indexed citations
6.
Di, Zengru, et al.. (2023). Characterizing the importance of nodes with information feedback in multilayer networks. Information Processing & Management. 60(3). 103344–103344. 7 indexed citations
7.
Di, Zengru, et al.. (2023). Rigorous Criteria for the Collapse of Nonlinear Cooperative Networks. Physical Review Letters. 130(9). 97401–97401. 6 indexed citations
8.
Di, Zengru, et al.. (2023). Identifying the structure patterns to govern the performance of localization in regulating innovation diffusion. New Journal of Physics. 25(5). 53009–53009. 1 indexed citations
9.
Zhang, Aobo, Ying Fan, Zengru Di, & An Zeng. (2023). Dynamics-based reconstruction of the multilayer structure from an aggregated network. Chaos Solitons & Fractals. 173. 113712–113712. 3 indexed citations
10.
Di, Zengru, et al.. (2022). Characterizing the reputation of evaluators using vectors in the object feature space. Expert Systems with Applications. 201. 117136–117136. 1 indexed citations
11.
Wang, Ze, et al.. (2022). Target recovery of the economic system based on the target reinforcement path method. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(9). 93118–93118. 3 indexed citations
12.
Zeng, An, et al.. (2022). Modeling multi-opinion propagation in complex systems with heterogeneous relationships via Potts model on signed networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(8). 83101–83101. 5 indexed citations
13.
14.
Di, Zengru, et al.. (2020). An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space. Complexity. 2020. 1–16. 6 indexed citations
15.
Fan, Ying, et al.. (2019). A nonlinear collective credit allocation in scientific publications. Scientometrics. 119(3). 1655–1668. 3 indexed citations
16.
Shen, Zhesi, Liying Yang, Zengru Di, & Jinshan Wu. (2019). Large enough sample size to rank two groups of data reliably according to their means. Scientometrics. 118(2). 653–671. 3 indexed citations
17.
Wang, Fenghua, Ying Fan, An Zeng, & Zengru Di. (2018). Can we predict ESI highly cited publications?. Scientometrics. 118(1). 109–125. 24 indexed citations
18.
Zhou, Jianlin, An Zeng, Ying Fan, & Zengru Di. (2017). Identifying important scholars via directed scientific collaboration networks. Scientometrics. 114(3). 1327–1343. 23 indexed citations
19.
Di, Zengru. (2010). Review on Spatial Networks.
20.
Fan, Ying, et al.. (2009). Bielemental random networks. Acta Physica Sinica. 58(3). 1383–1383. 7 indexed citations

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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