Peng Ji

2.6k total citations · 2 hit papers
63 papers, 1.7k citations indexed

About

Peng Ji is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Biomedical Engineering. According to data from OpenAlex, Peng Ji has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 23 papers in Statistical and Nonlinear Physics and 13 papers in Biomedical Engineering. Recurrent topics in Peng Ji's work include Nonlinear Dynamics and Pattern Formation (28 papers), Neural dynamics and brain function (10 papers) and Complex Network Analysis Techniques (10 papers). Peng Ji is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (28 papers), Neural dynamics and brain function (10 papers) and Complex Network Analysis Techniques (10 papers). Peng Ji collaborates with scholars based in China, Germany and United Kingdom. Peng Ji's co-authors include Jürgen Kurths, Thomas Peron, Francisco A. Rodrigues, Wei Lin, Xiujing Han, Qinsheng Bi, Matjaž Perc, Jiachen Ye, Chittaranjan Hens and Yang Tian and has published in prestigious journals such as Physical Review Letters, Nature Communications and Analytical Chemistry.

In The Last Decade

Peng Ji

57 papers receiving 1.7k citations

Hit Papers

The Kuramoto model in complex networks 2015 2026 2018 2022 2015 2023 200 400 600

Peers

Peng Ji
Peng Ji
Citations per year, relative to Peng Ji Peng Ji (= 1×) peers Shuguang Guan

Countries citing papers authored by Peng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ji. A scholar is included among the top collaborators of Peng Ji 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 Peng Ji. Peng Ji 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.
Ghosh, Subrata, Xue Li, Arindam Mishra, et al.. (2025). Universal nonlinear dynamics in damped and driven physical systems: From Pendula via Josephson junctions to power grids. Physics Reports. 1147. 1–112.
3.
Chen, Dan, et al.. (2024). Improved localization and segmentation of spinal bone metastases in MRI with nnUNet radiomics. Journal of bone oncology. 48. 100630–100630. 4 indexed citations
4.
Ji, Peng, Jan Nagler, Matjaž Perc, Michael Small, & Jinghua Xiao. (2024). Focus on the disruption of networks and system dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(8). 6 indexed citations
5.
Zhang, Xiangyue, et al.. (2024). A Gradient Vector Self-Learning Network for Infrared Small Target Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
8.
Ghosh, Subrata, et al.. (2023). Dimension reduction in higher-order contagious phenomena. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(5). 14 indexed citations
9.
Ji, Peng, et al.. (2023). Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews. 45. 74–111. 12 indexed citations
10.
Ji, Peng, et al.. (2022). Impact of basic network motifs on the collective response to perturbations. Nature Communications. 13(1). 5301–5301. 30 indexed citations
11.
Li, Qiang, et al.. (2022). Basins of attraction of chimera states on networks. Frontiers in Physiology. 13. 959431–959431. 2 indexed citations
12.
Ji, Peng, et al.. (2021). The impact of COVID-19 on the worldwide air transportation network. Royal Society Open Science. 8(11). 210682–210682. 33 indexed citations
13.
Aleta, Alberto, et al.. (2020). A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China. Chaos Solitons & Fractals. 139. 110068–110068. 31 indexed citations
14.
Protachevicz, Paulo R., Fernando S. Borges, Ewandson L. Lameu, et al.. (2019). Bistable Firing Pattern in a Neural Network Model. Frontiers in Computational Neuroscience. 13. 19–19. 25 indexed citations
15.
Han, Xiujing, Qinsheng Bi, Peng Ji, & Jürgen Kurths. (2015). Fast-slow analysis for parametrically and externally excited systems with two slow rationally related excitation frequencies. Physical Review E. 92(1). 12911–12911. 93 indexed citations
16.
Kohar, Vivek, Peng Ji, Anshul Choudhary, Sudeshna Sinha, & Jürgen Kurths. (2014). Synchronization in time-varying networks. Physical Review E. 90(2). 22812–22812. 73 indexed citations
17.
Ji, Peng, Huadong Guo, & Lu Zhang. (2013). Crack detection above buildings based on the infrared thermal imaging technology. Guotu ziyuan yaogan. 25(2). 53–56. 1 indexed citations
18.
Ji, Peng & Hongwei Ge. (2011). Edges Immunization Strategy in Scale-free Network. Jisuanji gongcheng. 37(6). 130–132. 3 indexed citations
19.
Ji, Peng. (2009). The Calculation of the Angle and Position of the Kingpin Axis Based on Steering Geometric Test. Science Technology and Engineering. 1 indexed citations
20.
Ji, Peng. (2007). Heavy tractor semi-trailer dynamic modeling and stability analysis in the ADAMS. 1 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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