Feifei Yang

4.3k total citations · 4 hit papers
92 papers, 3.3k citations indexed

About

Feifei Yang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Feifei Yang has authored 92 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistical and Nonlinear Physics, 36 papers in Cognitive Neuroscience and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Feifei Yang's work include Neural dynamics and brain function (36 papers), stochastic dynamics and bifurcation (36 papers) and Advanced Memory and Neural Computing (29 papers). Feifei Yang is often cited by papers focused on Neural dynamics and brain function (36 papers), stochastic dynamics and bifurcation (36 papers) and Advanced Memory and Neural Computing (29 papers). Feifei Yang collaborates with scholars based in China, United States and Australia. Feifei Yang's co-authors include Jun Ma, Jun Mou, Peter W. Groeneveld, Chenguang Ma, Andrew J. Epstein, Daniel Polsky, Yinghong Cao, Lin Yang, Huizhen Yan and Xinlin Song and has published in prestigious journals such as JAMA, Journal of the American College of Cardiology and IEEE Access.

In The Last Decade

Feifei Yang

88 papers receiving 3.2k citations

Hit Papers

Coronary Revascularization Trends in the United States, 2... 2011 2026 2016 2021 2011 2021 2024 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feifei Yang China 35 1.4k 1.1k 764 731 473 92 3.3k
В. И. Пономаренко Russia 25 823 0.6× 95 0.1× 394 0.5× 120 0.2× 590 1.2× 190 1.9k
Raúl Alcaraz Spain 28 340 0.2× 94 0.1× 662 0.9× 155 0.2× 1.4k 3.0× 177 2.6k
М. Д. Прохоров Russia 24 676 0.5× 79 0.1× 320 0.4× 97 0.1× 632 1.3× 145 1.6k
Hui Zhao China 25 537 0.4× 181 0.2× 44 0.1× 479 0.7× 207 0.4× 147 2.2k
Gernot Plank Austria 44 285 0.2× 88 0.1× 139 0.2× 306 0.4× 5.2k 11.0× 261 6.5k
Shankar Krishnan United States 27 49 0.0× 965 0.9× 376 0.5× 92 0.1× 688 1.5× 119 3.1k
Steven Niederer United Kingdom 42 192 0.1× 80 0.1× 91 0.1× 233 0.3× 5.1k 10.9× 322 6.4k
Assef Zare Iran 23 110 0.1× 198 0.2× 620 0.8× 106 0.1× 128 0.3× 68 1.7k
Sanjiv M. Narayan United States 47 72 0.1× 53 0.0× 340 0.4× 222 0.3× 7.0k 14.7× 321 8.9k
Minvydas Ragulskis Lithuania 20 373 0.3× 326 0.3× 108 0.1× 159 0.2× 156 0.3× 214 1.8k

Countries citing papers authored by Feifei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei Yang. A scholar is included among the top collaborators of Feifei Yang 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 Feifei Yang. Feifei Yang 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.
Song, Xinlin, et al.. (2025). A map neuron with a hybrid ion channel and its dynamics. Communications in Theoretical Physics. 77(8). 85801–85801. 6 indexed citations
2.
Song, Xinlin & Feifei Yang. (2024). Analysis of electrical activities in a functional neuron with dual memristors. Journal of Theoretical Biology. 599. 112034–112034. 13 indexed citations
3.
Yang, Feifei, Xinlin Song, & Zhenhua Yu. (2024). Dynamics of a functional neuron model with double membranes. Chaos Solitons & Fractals. 188. 115496–115496. 38 indexed citations
4.
Wan, Qin, et al.. (2024). Risk analysis and risk prediction of in-hospital heart failure in patients with acute myocardial infarction after emergency intervention surgery. BMC Cardiovascular Disorders. 24(1). 673–673. 1 indexed citations
5.
Yang, Feifei, Xinlin Song, & Jun Ma. (2024). A memristive map neuron under noisy electric field. Chinese Journal of Physics. 91. 287–298. 46 indexed citations
6.
Yang, Feifei, et al.. (2024). Two simple memristive maps with adaptive energy regulation and digital signal process verification. Journal of Zhejiang University. Science A. 25(5). 382–394. 43 indexed citations
7.
Yang, Feifei, et al.. (2023). Energy encoding in a biophysical neuron and adaptive energy balance under field coupling. Chaos Solitons & Fractals. 169. 113230–113230. 45 indexed citations
8.
Yang, Feifei, Qun Guo, & Jun Ma. (2023). A neuron model with nonlinear membranes. Cognitive Neurodynamics. 18(2). 673–684. 44 indexed citations
9.
Yang, Feifei, Ying Xu, & Jun Ma. (2023). A memristive neuron and its adaptability to external electric field. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(2). 23110–23110. 93 indexed citations breakdown →
10.
Guo, Yitong, Fuqiang Wu, Feifei Yang, & Jun Ma. (2023). Physical approach of a neuron model with memristive membranes. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(11). 56 indexed citations
11.
Yang, Feifei & Jun Ma. (2023). Creation of memristive synapse connection to neurons for keeping energy balance. Pramana. 97(2). 23 indexed citations
12.
Yang, Feifei, Xikui Hu, Guodong Ren, & Jun Ma. (2023). Synchronization and patterns in a memristive network in noisy electric field. The European Physical Journal B. 96(6). 16 indexed citations
13.
Yang, Feifei & Jun Ma. (2023). A controllable photosensitive neuron model and its application. Optics & Laser Technology. 163. 109335–109335. 32 indexed citations
14.
Ma, Jun, et al.. (2023). Energy-guided synapse coupling between neurons under noise. Journal of Biological Physics. 49(1). 49–76. 17 indexed citations
15.
Yang, Feifei, Ya Wang, & Jun Ma. (2023). Creation of heterogeneity or defects in a memristive neural network under energy flow. Communications in Nonlinear Science and Numerical Simulation. 119. 107127–107127. 56 indexed citations
16.
Yang, Feifei, Jun Ma, & Guodong Ren. (2023). A Josephson junction-coupled neuron with double capacitive membranes. Journal of Theoretical Biology. 578. 111686–111686. 27 indexed citations
17.
Yang, Feifei, Ya Wang, & Jun Ma. (2022). An adaptive synchronization approach in a network composed of four neurons with energy diversity. Indian Journal of Physics. 97(7). 2125–2137. 15 indexed citations
18.
Xiong, Li, et al.. (2022). Dynamic analysis of a fractional-order hyperchaotic system and its application in image encryption. Physica Scripta. 97(4). 45201–45201. 34 indexed citations
19.
Yang, Feifei, et al.. (2022). A new discrete chaotic map application in image encryption algorithm. Physica Scripta. 97(3). 35202–35202. 63 indexed citations
20.
Yang, Feifei, et al.. (2019). An improved color image encryption scheme and cryptanalysis based on a hyperchaotic sequence. Physica Scripta. 94(8). 85206–85206. 43 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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