Kechen Zhang

3.5k total citations · 1 hit paper
45 papers, 2.3k citations indexed

About

Kechen Zhang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Kechen Zhang has authored 45 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 11 papers in Artificial Intelligence. Recurrent topics in Kechen Zhang's work include Neural dynamics and brain function (32 papers), Memory and Neural Mechanisms (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). Kechen Zhang is often cited by papers focused on Neural dynamics and brain function (32 papers), Memory and Neural Mechanisms (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). Kechen Zhang collaborates with scholars based in United States, China and Türkiye. Kechen Zhang's co-authors include Terrence J. Sejnowski, Bruce L. McNaughton, Iris Ginzburg, Hugh T. Blair, James Knierim, Alexandre Pouget, Sophie Denève, Peter E. Latham, Kishan Gupta and Joseph D. Monaco and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Kechen Zhang

41 papers receiving 2.3k citations

Hit Papers

A universal scaling law between gray matter and white mat... 2000 2026 2008 2017 2000 100 200 300 400 500
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. A universal scaling law between gray matter and white matter of cerebral cortex
    2000 522 citations Kechen Zhang, Terrence J. Sejnowski profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kechen Zhang United States 19 1.8k 1.0k 207 184 159 45 2.3k
Hamutal Slovin Israel 18 1.9k 1.1× 1.7k 1.6× 140 0.7× 158 0.9× 172 1.1× 37 2.8k
Matthias H. Munk Germany 21 2.3k 1.3× 849 0.8× 94 0.5× 173 0.9× 98 0.6× 39 2.6k
Naotaka Fujii Japan 31 2.3k 1.3× 840 0.8× 101 0.5× 139 0.8× 92 0.6× 57 2.9k
Wu Li China 24 3.0k 1.7× 859 0.8× 130 0.6× 299 1.6× 151 0.9× 51 3.4k
Almut Schüz Germany 18 1.8k 1.0× 1.1k 1.1× 168 0.8× 270 1.5× 333 2.1× 42 2.6k
Nicholas A. Steinmetz United States 28 3.5k 1.9× 1.8k 1.8× 190 0.9× 283 1.5× 282 1.8× 47 4.0k
Frank W. Ohl Germany 35 2.4k 1.3× 1.1k 1.1× 219 1.1× 253 1.4× 183 1.2× 115 3.3k
Vladimir Itskov United States 13 1.4k 0.8× 970 0.9× 118 0.6× 121 0.7× 122 0.8× 21 1.8k
Shaul Druckmann United States 23 1.8k 1.0× 1.5k 1.5× 177 0.9× 256 1.4× 354 2.2× 43 2.7k
David C. Somers United States 29 3.8k 2.1× 766 0.7× 161 0.8× 203 1.1× 185 1.2× 75 4.3k

Countries citing papers authored by Kechen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kechen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kechen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Kechen Zhang. A scholar is included among the top collaborators of Kechen Zhang 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 Kechen Zhang. Kechen Zhang 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.
Yang, Jialong, Kechen Zhang, Ping Xu, et al.. (2025). 2,3,5,4′-Tetrahydroxystilbene-2-O-beta-D-glucopyranoside promotes skin flap survival by promoting mitophagy through the PINK1/Parkin pathway. Journal of Ethnopharmacology. 345. 119587–119587.
2.
3.
Wang, Caixia & Kechen Zhang. (2020). Equilibrium States and Their Stability in the Head-Direction Ring Network. Frontiers in Computational Neuroscience. 13. 96–96. 1 indexed citations
4.
Monaco, Joseph D., Grace M. Hwang, Kevin Schultz, & Kechen Zhang. (2020). Cognitive swarming in complex environments with attractor dynamics and oscillatory computing. Biological Cybernetics. 114(2). 269–284. 22 indexed citations
5.
Zhang, Kechen, et al.. (2019). Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models. Frontiers in Neural Circuits. 12. 119–119. 1 indexed citations
6.
Monaco, Joseph D., Rose M. De Guzman, Hugh T. Blair, & Kechen Zhang. (2019). Spatial synchronization codes from coupled rate-phase neurons. PLoS Computational Biology. 15(1). e1006741–e1006741. 18 indexed citations
7.
Luo, Jinhong, Silvio Macías, Torbjørn V. Ness, et al.. (2018). Neural timing of stimulus events with microsecond precision. PLoS Biology. 16(10). e2006422–e2006422. 24 indexed citations
8.
Zhang, Kechen, et al.. (2018). Fitting of dynamic recurrent neural network models to sensory stimulus-response data. Journal of Biological Physics. 44(3). 449–469. 5 indexed citations
9.
Huang, Wentao & Kechen Zhang. (2018). Information-Theoretic Bounds and Approximations in Neural Population Coding. Neural Computation. 30(4). 885–944. 5 indexed citations
10.
Huang, Wentao, Xin Huang, & Kechen Zhang. (2017). Information-theoretic interpretation of tuning curves for multiple motion directions. 1–4. 2 indexed citations
11.
Zhang, Kechen, et al.. (2013). Adaptive stimulus optimization for sensory systems neuroscience. Frontiers in Neural Circuits. 7. 101–101. 23 indexed citations
12.
Zhang, Kechen, et al.. (2011). Cosine Directional Tuning of Theta Cell Burst Frequencies: Evidence for Spatial Coding by Oscillatory Interference. Journal of Neuroscience. 31(45). 16157–16176. 98 indexed citations
13.
Zhang, Kechen, et al.. (2011). Single-cell persistent activity in anterodorsal thalamus. Neuroscience Letters. 498(3). 179–184. 5 indexed citations
14.
Monaco, Joseph D., James Knierim, & Kechen Zhang. (2011). Sensory Feedback, Error Correction, and Remapping in a Multiple Oscillator Model of Place-Cell Activity. Frontiers in Computational Neuroscience. 5. 39–39. 27 indexed citations
15.
Carlson, Eric T., et al.. (2011). A Sparse Object Coding Scheme in Area V4. Current Biology. 21(4). 288–293. 81 indexed citations
16.
Blair, Hugh T., Kishan Gupta, & Kechen Zhang. (2008). Conversion of a phase‐ to a rate‐coded position signal by a three‐stage model of theta cells, grid cells, and place cells. Hippocampus. 18(12). 1239–1255. 104 indexed citations
17.
Blair, Hugh T., et al.. (2007). Scale-Invariant Memory Representations Emerge from Moiré Interference between Grid Fields That Produce Theta Oscillations: A Computational Model. Journal of Neuroscience. 27(12). 3211–3229. 95 indexed citations
18.
Zhang, Kechen & Terrence J. Sejnowski. (2001). Chapter 21 Accuracy and learning in neuronal populations. Progress in brain research. 130. 333–342.
19.
Pouget, Alexandre & Kechen Zhang. (1997). Statistically efficient estimation using cortical lateral connection. Neural Information Processing Systems. 97–103. 1 indexed citations
20.
Pouget, Alexandre & Kechen Zhang. (1996). Statistically Efficient Estimations Using Cortical Lateral Connections. Neural Information Processing Systems. 97–103. 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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