Chun-I Yeh

2.1k total citations
24 papers, 1.5k citations indexed

About

Chun-I Yeh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chun-I Yeh has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Chun-I Yeh's work include Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (16 papers) and Neurobiology and Insect Physiology Research (6 papers). Chun-I Yeh is often cited by papers focused on Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (16 papers) and Neurobiology and Insect Physiology Research (6 papers). Chun-I Yeh collaborates with scholars based in United States, Taiwan and China. Chun-I Yeh's co-authors include Dajun Xing, Robert Shapley, José‐Manuel Alonso, Chong Weng, Jianzhong Jin, Garrett B. Stanley, Nicholas A. Lesica, Daniel A. Butts, Samuel P. Burns and Carl R. Stoelzel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Chun-I Yeh

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-I Yeh United States 17 1.4k 799 206 180 90 24 1.5k
Jason N. MacLean United States 22 1.1k 0.8× 985 1.2× 213 1.0× 146 0.8× 88 1.0× 47 1.6k
Frédéric Chavane France 20 1.9k 1.4× 1.0k 1.3× 170 0.8× 178 1.0× 146 1.6× 59 2.2k
Eyal Seidemann United States 20 1.6k 1.2× 746 0.9× 250 1.2× 99 0.6× 82 0.9× 34 1.9k
Vladimir Itskov United States 13 1.4k 1.0× 970 1.2× 121 0.6× 122 0.7× 89 1.0× 21 1.8k
Cyril Monier France 14 1.4k 1.0× 995 1.2× 146 0.7× 197 1.1× 168 1.9× 23 1.5k
George H. Denfield United States 9 1.4k 1.0× 753 0.9× 123 0.6× 116 0.6× 50 0.6× 17 1.5k
William H. Bosking United States 18 1.8k 1.3× 966 1.2× 261 1.3× 176 1.0× 29 0.3× 28 2.0k
Arthur R. Houweling Netherlands 14 1.3k 0.9× 1.1k 1.4× 162 0.8× 163 0.9× 150 1.7× 21 1.6k
Ian Nauhaus United States 17 1.9k 1.4× 1.2k 1.5× 344 1.7× 120 0.7× 69 0.8× 22 2.0k
Daniel E. Shulz France 21 1.3k 1.0× 1.1k 1.4× 150 0.7× 222 1.2× 26 0.3× 47 1.5k

Countries citing papers authored by Chun-I Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Chun-I Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-I Yeh. 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 Chun-I Yeh. The network helps show where Chun-I Yeh may publish in the future.

Co-authorship network of co-authors of Chun-I Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-I Yeh. A scholar is included among the top collaborators of Chun-I Yeh 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 Chun-I Yeh. Chun-I Yeh 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.
Spillmann, Lothar, et al.. (2023). Gestalt neurons and emergent properties in visual perception: A novel concept for the transformation from local to global processing. Journal of Vision. 23(14). 4–4. 4 indexed citations
2.
Han, Chuanliang, Tian Wang, Yi Yang, et al.. (2021). Multiple gamma rhythms carry distinct spatial frequency information in primary visual cortex. PLoS Biology. 19(12). e3001466–e3001466. 55 indexed citations
3.
Yeh, Chun-I, et al.. (2020). Relative posture between head and finger determines perceived tactile direction of motion. Scientific Reports. 10(1). 5494–5494. 2 indexed citations
4.
Han, Chuanliang, Bin Wang, Yi Yang, et al.. (2020). Neural mechanism of orientation selectivity for distinct gamma oscillations in cat V1. Journal of Vision. 20(11). 1116–1116. 17 indexed citations
5.
Yeh, Chun-I, Mei‐Fang Cheng, Furen Xiao, et al.. (2020). Effects of Focal Radiation on [18F]-Fluoro-D-Glucose Positron Emission Tomography in the Brains of Miniature Pigs: Preliminary Findings on Local Metabolism. Neuromodulation Technology at the Neural Interface. 24(5). 863–869. 12 indexed citations
6.
Yeh, Chun-I, et al.. (2019). Illusory Motion Reversal in Touch. Frontiers in Neuroscience. 13. 605–605. 2 indexed citations
7.
Xing, Dajun, et al.. (2012). Stochastic Generation of Gamma-Band Activity in Primary Visual Cortex of Awake and Anesthetized Monkeys. Journal of Neuroscience. 32(40). 13873–13880a. 94 indexed citations
8.
Xing, Dajun, Chun-I Yeh, Samuel P. Burns, & Robert Shapley. (2012). Laminar analysis of visually evoked activity in the primary visual cortex. Proceedings of the National Academy of Sciences. 109(34). 13871–13876. 139 indexed citations
9.
Xing, Dajun, Chun-I Yeh, & Robert Shapley. (2010). Generation of Black-Dominant Responses in V1 Cortex. Journal of Neuroscience. 30(40). 13504–13512. 75 indexed citations
10.
Xing, Dajun, Chun-I Yeh, & Robert Shapley. (2009). Spatial Spread of the Local Field Potential and its Laminar Variation in Visual Cortex. Journal of Neuroscience. 29(37). 11540–11549. 192 indexed citations
11.
Yeh, Chun-I, Carl R. Stoelzel, Chong Weng, & José‐Manuel Alonso. (2009). Functional Consequences of Neuronal Divergence Within the Retinogeniculate Pathway. Journal of Neurophysiology. 101(4). 2166–2185. 27 indexed citations
12.
Yeh, Chun-I, Dajun Xing, & Robert Shapley. (2009). “Black” Responses Dominate Macaque Primary Visual Cortex V1. Journal of Neuroscience. 29(38). 11753–11760. 125 indexed citations
13.
Alonso, José‐Manuel, Chun-I Yeh, & Carl R. Stoelzel. (2008). Visual stimuli modulate precise synchronous firing within the thalamus. PubMed. 4(1). 21–34. 12 indexed citations
14.
Jin, Jianzhong, Chong Weng, Chun-I Yeh, et al.. (2007). On and off domains of geniculate afferents in cat primary visual cortex. Nature Neuroscience. 11(1). 88–94. 133 indexed citations
15.
Butts, Daniel A., Chong Weng, Jianzhong Jin, et al.. (2007). Temporal precision in the neural code and the timescales of natural vision. Nature. 449(7158). 92–95. 291 indexed citations
16.
Lesica, Nicholas A., Jianzhong Jin, Chong Weng, et al.. (2007). Adaptation to Stimulus Contrast and Correlations during Natural Visual Stimulation. Neuron. 55(3). 479–491. 89 indexed citations
17.
Yeh, Chun-I, et al.. (2006). Retinogeniculate connections: a balancing act between connection specificity and receptive field diversity. Progress in brain research. 154. 3–13. 25 indexed citations
18.
Weng, Chong, Chun-I Yeh, Carl R. Stoelzel, & José‐Manuel Alonso. (2005). Receptive Field Size and Response Latency Are Correlated Within the Cat Visual Thalamus. Journal of Neurophysiology. 93(6). 3537–3547. 33 indexed citations
19.
Yeh, Chun-I & Alice Schade Powers. (2005). Effects of blocking nitric oxide on learning in turtles (chrysemys picta).. Behavioral Neuroscience. 119(6). 1656–1661. 5 indexed citations
20.
Yeh, Chun-I, Carl R. Stoelzel, & José‐Manuel Alonso. (2003). Two Different Types of Y Cells in the Cat Lateral Geniculate Nucleus. Journal of Neurophysiology. 90(3). 1852–1864. 22 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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