Peipei Jin

743 total citations · 1 hit paper
9 papers, 657 citations indexed

About

Peipei Jin is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Peipei Jin has authored 9 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Statistical and Nonlinear Physics and 4 papers in Cognitive Neuroscience. Recurrent topics in Peipei Jin's work include Advanced Memory and Neural Computing (8 papers), stochastic dynamics and bifurcation (5 papers) and Neural dynamics and brain function (4 papers). Peipei Jin is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), stochastic dynamics and bifurcation (5 papers) and Neural dynamics and brain function (4 papers). Peipei Jin collaborates with scholars based in China and Australia. Peipei Jin's co-authors include Mo Chen, Bocheng Bao, Han Bao, Guangyi Wang, Guangyi Wang, Ning Wang, Tao Jiang, Herbert Ho‐Ching Iu, Tyrone Fernando and Yuan Fang and has published in prestigious journals such as Chaos Solitons & Fractals, Nonlinear Dynamics and Communications in Nonlinear Science and Numerical Simulation.

In The Last Decade

Peipei Jin

9 papers receiving 628 citations

Hit Papers

Initial condition-dependent dynamics and transient period... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipei Jin China 7 520 377 282 155 79 9 657
Kexin Li China 6 336 0.6× 220 0.6× 154 0.5× 217 1.4× 66 0.8× 12 450
Wesley Thio United States 10 554 1.1× 201 0.5× 285 1.0× 115 0.7× 125 1.6× 20 675
Zekun Deng China 10 307 0.6× 295 0.8× 154 0.5× 201 1.3× 100 1.3× 14 563
Yunzhen Zhang China 14 580 1.1× 417 1.1× 307 1.1× 340 2.2× 65 0.8× 35 800
Juan Hugo García-López Mexico 13 383 0.7× 131 0.3× 311 1.1× 87 0.6× 79 1.0× 55 572
Yajuan Yu China 13 523 1.0× 286 0.8× 350 1.2× 215 1.4× 54 0.7× 23 694
Zhiqiang Wan China 6 438 0.8× 209 0.6× 214 0.8× 104 0.7× 141 1.8× 12 552
Yumei Tan China 5 311 0.6× 213 0.6× 145 0.5× 150 1.0× 65 0.8× 17 410
Yongxin Li China 14 416 0.8× 284 0.8× 128 0.5× 176 1.1× 196 2.5× 37 622

Countries citing papers authored by Peipei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Jin. A scholar is included among the top collaborators of Peipei Jin 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 Peipei Jin. Peipei Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jin, Peipei, et al.. (2025). A new third-order memristive neuron and its complex neuromorphic dynamics near the edge of chaos. Chaos Solitons & Fractals. 195. 116271–116271. 4 indexed citations
2.
Shen, Shuhang, et al.. (2021). Design of Memristor-Based Combinational Logic Circuits. Circuits Systems and Signal Processing. 40(12). 5825–5846. 40 indexed citations
3.
Jin, Peipei, Guangyi Wang, Herbert Ho‐Ching Iu, & Tyrone Fernando. (2017). A Locally Active Memristor and Its Application in a Chaotic Circuit. IEEE Transactions on Circuits & Systems II Express Briefs. 65(2). 246–250. 70 indexed citations
4.
Bao, Bocheng, Tao Jiang, Guangyi Wang, et al.. (2017). Two-memristor-based Chua’s hyperchaotic circuit with plane equilibrium and its extreme multistability. Nonlinear Dynamics. 89(2). 1157–1171. 222 indexed citations
5.
Bao, Han, Ning Wang, Bocheng Bao, et al.. (2017). Initial condition-dependent dynamics and transient period in memristor-based hypogenetic jerk system with four line equilibria. Communications in Nonlinear Science and Numerical Simulation. 57. 264–275. 248 indexed citations breakdown →
6.
Wang, Guangyi, Peipei Jin, Xiaowei Wang, et al.. (2016). A flux-controlled model of meminductor and its application in chaotic oscillator. Chinese Physics B. 25(9). 90502–90502. 29 indexed citations
7.
Wang, Guangyi, et al.. (2016). Memcapacitor model and its application in a chaotic oscillator. Chinese Physics B. 25(1). 10503–10503. 34 indexed citations
8.
Fang, Yuan, Guangyi Wang, & Peipei Jin. (2015). Study on dynamical characteristics of a meminductor model and its meminductor-based oscillator. Acta Physica Sinica. 64(21). 210504–210504. 8 indexed citations
9.
Jin, Peipei, et al.. (2015). Design of PN sequence generator based on memristor oscillator. 51–55. 2 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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