Y.-D. Zhou

511 total citations
10 papers, 335 citations indexed

About

Y.-D. Zhou is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Y.-D. Zhou has authored 10 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 1 paper in Molecular Biology. Recurrent topics in Y.-D. Zhou's work include Tactile and Sensory Interactions (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Multisensory perception and integration (3 papers). Y.-D. Zhou is often cited by papers focused on Tactile and Sensory Interactions (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Multisensory perception and integration (3 papers). Y.-D. Zhou collaborates with scholars based in United States, China and United Kingdom. Y.-D. Zhou's co-authors include Joaquı́n M. Fuster, Mark Bodner, Carson C. Chow, Mouhsin M. Shafi, Javier Quintana, Shinji Ohara, Fred A. Lenz, D. Timmerman, Chuan Lü and Sabine Van Huffel and has published in prestigious journals such as PLoS ONE, Neuroscience and Cerebral Cortex.

In The Last Decade

Y.-D. Zhou

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Y.-D. Zhou United States	8	219	82	65	50	35	10	335
Steven Schachter United States	9	86 0.4×	16 0.2×	46 0.7×	56 1.1×	7 0.2×	15	224
Nagulan Ratnarajah Sri Lanka	9	151 0.7×	41 0.5×	8 0.1×	69 1.4×	8 0.2×	34	333
Kyle F. Shattuck United States	10	152 0.7×	6 0.1×	9 0.1×	38 0.8×	4 0.1×	14	321
K. Aittoniemi Finland	6	335 1.5×	17 0.2×	14 0.2×	4 0.1×	13 0.4×	7	418
Danyal Akarca United Kingdom	9	80 0.4×	7 0.1×	16 0.2×	10 0.2×	9 0.3×	26	170
Sina Mansour L. Australia	9	194 0.9×	7 0.1×	12 0.2×	15 0.3×	4 0.1×	16	256
Nathália Bianchini Esper Brazil	9	86 0.4×	9 0.1×	8 0.1×	15 0.3×	2 0.1×	19	181
Johanna Bayer Australia	6	159 0.7×	7 0.1×	10 0.2×	8 0.2×	1 0.0×	7	284
Seyedeh-Rezvan Farahibozorg United Kingdom	9	303 1.4×	3 0.0×	14 0.2×	13 0.3×	8 0.2×	13	341
C E Elger Germany	4	263 1.2×	2 0.0×	81 1.2×	60 1.2×	10 0.3×	7	365

Countries citing papers authored by Y.-D. Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Y.-D. Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.-D. Zhou. 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 Y.-D. Zhou. The network helps show where Y.-D. Zhou may publish in the future.

Co-authorship network of co-authors of Y.-D. Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Li, Jun, Yixuan Ku, Lei Li, et al.. (2018). Neural Correlates of Feedback Processing in Visuo-Tactile Crossmodal Paired-Associate Learning. Frontiers in Human Neuroscience. 12. 266–266. 4 indexed citations

2.

Chen, Ke, Haiqun Lin, & Y.-D. Zhou. (2012). Efficient estimation for the Cox model with varying coefficients. Biometrika. 99(2). 379–392. 17 indexed citations

3.

Ohara, Shinji, Lei Wang, Yixuan Ku, et al.. (2008). Neural activities of tactile cross-modal working memory in humans: an event-related potential study. Neuroscience. 152(3). 692–702. 8 indexed citations

4.

Shafi, Mouhsin M., Y.-D. Zhou, Javier Quintana, et al.. (2007). Variability in neuronal activity in primate cortex during working memory tasks. Neuroscience. 146(3). 1082–1108. 142 indexed citations

5.

Ku, Yixuan, Shinji Ohara, Liping Wang, et al.. (2007). Prefrontal Cortex and Somatosensory Cortex in Tactile Crossmodal Association: An Independent Component Analysis of ERP Recordings. PLoS ONE. 2(8). e771–e771. 20 indexed citations

6.

Zhou, Y.-D., Amin Ardestani, & Joaquı́n M. Fuster. (2007). Distributed and Associative Working Memory. Cerebral Cortex. 17(suppl 1). i77–i87. 20 indexed citations

7.

Luo, Xian, et al.. (2006). Varying-Coefficient Regression Models With Censored Data. Acta Mathematicae Applicatae Sinica English Series. 1 indexed citations

8.

Ohara, Shinji, Fred A. Lenz, & Y.-D. Zhou. (2006). Modulation of somatosensory event-related potential components in a tactile–visual cross-modal task. Neuroscience. 138(4). 1387–1395. 12 indexed citations

9.

Ohara, Shinji, Fred A. Lenz, & Y.-D. Zhou. (2005). Sequential neural processes of tactile–visual crossmodal working memory. Neuroscience. 139(1). 299–309. 22 indexed citations

10.

Condous, G., E. Okaro, Asma Khalid, et al.. (2004). The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location. Human Reproduction. 19(8). 1900–1910. 89 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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