Xing Pei

2.0k total citations
37 papers, 1.6k citations indexed

About

Xing Pei is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Xing Pei has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 16 papers in Statistical and Nonlinear Physics and 10 papers in Computer Networks and Communications. Recurrent topics in Xing Pei's work include Neural dynamics and brain function (18 papers), stochastic dynamics and bifurcation (13 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Xing Pei is often cited by papers focused on Neural dynamics and brain function (18 papers), stochastic dynamics and bifurcation (13 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Xing Pei collaborates with scholars based in United States, Germany and China. Xing Pei's co-authors include Frank Moss, Lon A. Wilkens, Trichur R. Vidyasagar, Maxim Volgushev, Hans Braun, Martin Huber, Alexander Neiman, Winfried Wojtenek, Karlheinz Voigt and David F. Russell and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Xing Pei

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Pei United States 22 1.1k 826 545 368 251 37 1.6k
Timothy J. Lewis United States 19 1.2k 1.1× 411 0.5× 294 0.5× 899 2.4× 429 1.7× 42 2.0k
Jonathan Touboul France 22 852 0.8× 630 0.8× 307 0.6× 325 0.9× 297 1.2× 72 1.6k
Juan G. Restrepo United States 24 519 0.5× 774 0.9× 822 1.5× 265 0.7× 531 2.1× 60 2.0k
Martin Stemmler Germany 22 1.4k 1.3× 425 0.5× 157 0.3× 868 2.4× 196 0.8× 41 2.0k
Nancy Kopell United States 22 1.2k 1.1× 1.1k 1.4× 1.1k 2.0× 632 1.7× 174 0.7× 35 2.2k
Teresa Ree Chay United States 23 756 0.7× 1.0k 1.3× 670 1.2× 524 1.4× 674 2.7× 76 2.0k
Bidesh K. Bera India 19 860 0.8× 1.0k 1.3× 1.4k 2.5× 123 0.3× 75 0.3× 38 1.6k
Hil G. E. Meijer Netherlands 18 302 0.3× 400 0.5× 410 0.8× 237 0.6× 102 0.4× 66 1.3k
Eleni Pantazelou United States 6 864 0.8× 1.6k 1.9× 834 1.5× 106 0.3× 338 1.3× 9 1.8k
Germán Mato Argentina 17 1.5k 1.5× 945 1.1× 822 1.5× 736 2.0× 142 0.6× 47 2.0k

Countries citing papers authored by Xing Pei

Since Specialization
Citations

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

Fields of papers citing papers by Xing Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Pei. A scholar is included among the top collaborators of Xing Pei 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 Xing Pei. Xing Pei 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.
Zhu, Biqing, Jianping He, Xiaojing Ye, et al.. (2023). Role of Cisplatin in Inducing Acute Kidney Injury and Pyroptosis in Mice via the Exosome miR-122/ELAVL1 Regulatory Axis. Physiological Research. 72(6). 753–765. 11 indexed citations
2.
3.
Pei, Xing. (2002). English Native Speaker's Advantages,Problems and Solutions in Teaching in China.
4.
Braun, Hans, Martin Huber, Karlheinz Voigt, et al.. (2001). Noise-induced impulse pattern modifications at different dynamical period-one situations in a computer model of temperature encoding. Biosystems. 62(1-3). 99–112. 30 indexed citations
5.
Huber, Martin, J.‐C. Krieg, Hans Braun, et al.. (2000). Noisy precursors of bifurcations in a neurodynamical model for disease states of mood disorders. Neurocomputing. 32-33. 823–831. 13 indexed citations
6.
Braun, Hans, M. Dewald, Klaus Schäfer, et al.. (1999). Low-Dimensional Dynamics in Sensory Biology 2: Facial Cold Receptors of the Rat. Journal of Computational Neuroscience. 7(1). 17–32. 63 indexed citations
7.
Braun, Hans, Klaus Schäfer, Karlheinz Voigt, et al.. (1997). Low-Dimensional Dynamics in Sensory Biology 1: Thermally Sensitive Electroreceptors of the Catfish. Journal of Computational Neuroscience. 4(4). 335–347. 81 indexed citations
8.
Vidyasagar, Trichur R., Xing Pei, & Maxim Volgushev. (1996). Multiple mechanisms underlying the orientation selectivity of visual cortical neurones. Trends in Neurosciences. 19(7). 272–277. 116 indexed citations
9.
Volgushev, Maxim, Trichur R. Vidyasagar, & Xing Pei. (1996). A linear model fails to predict orientation selectivity of cells in the cat visual cortex.. The Journal of Physiology. 496(3). 597–606. 26 indexed citations
10.
Pei, Xing, Lon A. Wilkens, & Frank Moss. (1996). Noise-Mediated Spike Timing Precision from Aperiodic Stimuli in an Array of Hodgekin-Huxley-Type Neurons. Physical Review Letters. 77(22). 4679–4682. 105 indexed citations
11.
Pei, Xing & Frank Moss. (1996). Characterization of low-dimensional dynamics in the crayfish caudal photoreceptor. Nature. 379(6566). 618–621. 85 indexed citations
12.
Volgushev, Maxim, Trichur R. Vidyasagar, & Xing Pei. (1995). Dynamics of the orientation tuning of postsynaptic potentials in the cat visual cortex. Visual Neuroscience. 12(4). 621–628. 51 indexed citations
13.
Pei, Xing, et al.. (1995). The detection threshold, noise and stochastic resonance in the Fitzhugh-Nagumo neuron model. Physics Letters A. 206(1-2). 61–65. 45 indexed citations
14.
Vidyasagar, Trichur R., Xing Pei, Maxim Volgushev, & O. Creutzfeldt. (1994). Orientation selectivity and receptive field structure of cat striate cells studied by whole cell recording in vivo. Investigative Ophthalmology & Visual Science. 35(4). 1976–1976. 1 indexed citations
15.
Pei, Xing, Trichur R. Vidyasagar, Maxim Volgushev, & O. Creutzfeldt. (1994). Receptive field analysis and orientation selectivity of postsynaptic potentials of simple cells in cat visual cortex. Journal of Neuroscience. 14(11). 7130–7140. 106 indexed citations
16.
Volgushev, Maxim, Xing Pei, Trichur R. Vidyasagar, & O. Creutzfeldt. (1993). Excitation and inhibition in orientation selectivity of cat visual cortex neurons revealed by whole-cell recordings in vivo. Visual Neuroscience. 10(6). 1151–1155. 65 indexed citations
17.
Kästner, Sabine, John M. Crook, Xing Pei, & O. Creutzfeldt. (1992). Neurophysiological Correlates of Colour Induction on White Surfaces. European Journal of Neuroscience. 4(11). 1079–1086. 6 indexed citations
18.
Volgushev, Maxim, Xing Pei, Trichur R. Vidyasagar, & O. Creutzfeldt. (1992). Postsynaptic potentials in cat visual cortex. Neuroreport. 3(8). 679–682. 9 indexed citations
19.
Creutzfeldt, O., et al.. (1991). The neurophysiological correlates of colour and brightness contrast in lateral geniculate neurons. Experimental Brain Research. 87(1). 3–21. 30 indexed citations
20.
Creutzfeldt, O., Sabine Kästner, Xing Pei, & Arne Valberg. (1991). The neurophysiological correlates of colour and brightness contrast in lateral geniculate neurons. Experimental Brain Research. 87(1). 22–45. 30 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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