Wei‐Chun Wang

2.1k total citations
55 papers, 1.4k citations indexed

About

Wei‐Chun Wang is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Social Psychology. According to data from OpenAlex, Wei‐Chun Wang has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 13 papers in Electrical and Electronic Engineering and 8 papers in Social Psychology. Recurrent topics in Wei‐Chun Wang's work include Memory Processes and Influences (16 papers), Memory and Neural Mechanisms (13 papers) and Advanced Memory and Neural Computing (7 papers). Wei‐Chun Wang is often cited by papers focused on Memory Processes and Influences (16 papers), Memory and Neural Mechanisms (13 papers) and Advanced Memory and Neural Computing (7 papers). Wei‐Chun Wang collaborates with scholars based in United States, Taiwan and United Kingdom. Wei‐Chun Wang's co-authors include Andrew P. Yonelinas, Joshua D. Koen, Mariam Aly, Charan Ranganath, Roberto Cabeza, Erik A. Wing, Huai‐Yung Wang, Gong‐Ru Lin, Milagros S. Copara and Arne D. Ekstrom and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Wei‐Chun Wang

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei‐Chun Wang United States	20	857	190	150	147	123	55	1.4k
Roger W. Li United States	22	1.6k 1.8×	336 1.8×	65 0.4×	112 0.8×	133 1.1×	57	2.5k
Fábio R. Torres Brazil	12	1.1k 1.3×	388 2.0×	60 0.4×	62 0.4×	104 0.8×	22	1.7k
Shirley Mark United Kingdom	7	729 0.9×	220 1.2×	33 0.2×	59 0.4×	61 0.5×	7	962
Erez Simony Israel	15	1.2k 1.4×	91 0.5×	81 0.5×	335 2.3×	262 2.1×	25	1.6k
Leo P. Sugrue United States	17	1.4k 1.6×	392 2.1×	41 0.3×	137 0.9×	126 1.0×	48	2.4k
Michael J. Arcaro United States	25	2.2k 2.6×	200 1.1×	26 0.2×	193 1.3×	274 2.2×	49	2.6k
Andrew Martin Australia	19	630 0.7×	48 0.3×	155 1.0×	140 1.0×	111 0.9×	70	1.5k
Michael Scholz Germany	15	1.5k 1.7×	195 1.0×	48 0.3×	92 0.6×	212 1.7×	50	1.9k
Alyssa A. Brewer United States	17	2.8k 3.3×	316 1.7×	71 0.5×	120 0.8×	292 2.4×	42	3.3k
Paul Ferrari United States	24	1.2k 1.4×	266 1.4×	60 0.4×	48 0.3×	112 0.9×	71	2.2k

Countries citing papers authored by Wei‐Chun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Wei‐Chun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Chun Wang. 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 Wei‐Chun Wang. The network helps show where Wei‐Chun Wang may publish in the future.

Co-authorship network of co-authors of Wei‐Chun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chun Wang. A scholar is included among the top collaborators of Wei‐Chun Wang 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 Wei‐Chun Wang. Wei‐Chun Wang 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:

20 of 20 papers shown

Mao, Xiangyu, et al.. (2025). Fully Digital Ultra-low-bit Linear Embedding Beamforming System with Quantization Compensation. 13–16.

Wang, Wei‐Chun, et al.. (2024). Measurement of Aging Effect on an Analog Computing-In-Memory Macro in 28nm CMOS. 1–4. 1 indexed citations

Lin, Gong‐Ru, Yi-Chien Wu, Chih‐Hsien Cheng, et al.. (2024). AAO Diffused Red-Green-Blue LD White-Light Bulb for 39.6-Gbit/s Data Link. Journal of Lightwave Technology. 43(4). 1861–1867.

Wang, Wei‐Chun, et al.. (2023). Design and synthesis of pyrazole derivatives against neutrophilic inflammation. European Journal of Medicinal Chemistry. 262. 115874–115874. 2 indexed citations

Chang, Hong‐Yi, et al.. (2023). A Novel Computer-Aided Detection/Diagnosis System for Detection and Classification of Polyps in Colonoscopy. Diagnostics. 13(2). 170–170. 5 indexed citations

Huang, Li‐Min, et al.. (2021). Continental transmission of emerging COVID-19 on the 38° north latitude. Journal of the Formosan Medical Association. 120. S19–S25. 4 indexed citations

Wang, Wei‐Chun, Jean Ching‐Yuan Fann, Ray‐E Chang, et al.. (2021). Economic evaluation for mass vaccination against COVID-19. Journal of the Formosan Medical Association. 120. S95–S105. 43 indexed citations

Davis, Simon W., Benjamin R. Geib, Erik A. Wing, et al.. (2020). Visual and Semantic Representations Predict Subsequent Memory in Perceptual and Conceptual Memory Tests. Cerebral Cortex. 31(2). 974–992. 28 indexed citations

Barrios, Joshua, et al.. (2020). Hypothalamic Dopamine Neurons Control Sensorimotor Behavior by Modulating Brainstem Premotor Nuclei in Zebrafish. Current Biology. 30(23). 4606–4618.e4. 36 indexed citations

10.

Wee, Caroline Lei, Maxim Nikitchenko, Wei‐Chun Wang, et al.. (2019). Zebrafish oxytocin neurons drive nocifensive behavior via brainstem premotor targets. Nature Neuroscience. 22(9). 1477–1492. 52 indexed citations

11.

Wang, Wei‐Chun, Nadia M. Brashier, Erik A. Wing, Elizabeth J. Marsh, & Roberto Cabeza. (2016). On Known Unknowns: Fluency and the Neural Mechanisms of Illusory Truth. Journal of Cognitive Neuroscience. 28(5). 739–746. 59 indexed citations

12.

Wang, Wei‐Chun, Ilana T. Z. Dew, & Roberto Cabeza. (2014). Age-related differences in medial temporal lobe involvement during conceptual fluency. Brain Research. 1612. 48–58. 16 indexed citations

13.

Wang, Wei‐Chun, Andrew P. Yonelinas, & Charan Ranganath. (2013). Dissociable neural correlates of item and context retrieval in the medial temporal lobes. Behavioural Brain Research. 254. 102–107. 21 indexed citations

14.

Koen, Joshua D., Mariam Aly, Wei‐Chun Wang, & Andrew P. Yonelinas. (2013). Examining the causes of memory strength variability: Recollection, attention failure, or encoding variability?. Journal of Experimental Psychology Learning Memory and Cognition. 39(6). 1726–1741. 19 indexed citations

15.

Wang, Wei‐Chun, Charan Ranganath, & Andrew P. Yonelinas. (2013). Activity reductions in perirhinal cortex predict conceptual priming and familiarity-based recognition. Neuropsychologia. 52. 19–26. 48 indexed citations

16.

Wang, Wei‐Chun & Andrew P. Yonelinas. (2012). Familiarity is related to conceptual implicit memory: An examination of individual differences. Psychonomic Bulletin & Review. 19(6). 1154–1164. 52 indexed citations

17.

Wang, Wei‐Chun & Andrew P. Yonelinas. (2012). Familiarity and conceptual implicit memory: Individual differences and neural correlates. Cognitive Neuroscience. 3(3-4). 213–214. 15 indexed citations

18.

Ekstrom, Arne D., Milagros S. Copara, Eve A. Isham, Wei‐Chun Wang, & Andrew P. Yonelinas. (2011). Dissociable networks involved in spatial and temporal order source retrieval. NeuroImage. 56(3). 1803–1813. 90 indexed citations

19.

Wang, Wei‐Chun, Ilana T. Z. Dew, & Kelly S. Giovanello. (2010). Effects of aging and prospective memory on recognition of item and associative information.. Psychology and Aging. 25(2). 486–491. 14 indexed citations

20.

Flesher, A. R., et al.. (1995). Fluorophore‐labeled carbohydrate analysis of immunoglobulin fusion proteins: Correlation of oligosaccharide content with in vivo clearance profile. Biotechnology and Bioengineering. 47(3). 405–405. 9 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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