Benchi Wang

1.8k total citations
27 papers, 1.0k citations indexed

About

Benchi Wang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Benchi Wang has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 2 papers in Social Psychology. Recurrent topics in Benchi Wang's work include Neural and Behavioral Psychology Studies (22 papers), Visual perception and processing mechanisms (16 papers) and Neural dynamics and brain function (11 papers). Benchi Wang is often cited by papers focused on Neural and Behavioral Psychology Studies (22 papers), Visual perception and processing mechanisms (16 papers) and Neural dynamics and brain function (11 papers). Benchi Wang collaborates with scholars based in Netherlands, China and Rwanda. Benchi Wang's co-authors include Jan Theeuwes, Christian N. L. Olivers, Michel Failing, Joram van Driel, Xinyu Li, Tobias Feldmann‐Wüstefeld, Zhiguo Wang, Xiaohua Cao, Hong Yao and Baiwei Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Benchi Wang

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benchi Wang Netherlands 16 982 205 91 69 69 27 1.0k
Dirk van Moorselaar Netherlands 16 971 1.0× 201 1.0× 126 1.4× 37 0.5× 38 0.6× 50 1.1k
Markus Conci Germany 21 934 1.0× 195 1.0× 92 1.0× 125 1.8× 36 0.5× 64 1.0k
Timothy J. Vickery United States 12 540 0.5× 163 0.8× 93 1.0× 88 1.3× 25 0.4× 30 647
Anna Grubert United Kingdom 17 919 0.9× 207 1.0× 86 0.9× 112 1.6× 44 0.6× 47 963
Manuel Blanco Spain 9 589 0.6× 162 0.8× 96 1.1× 49 0.7× 30 0.4× 24 669
Min‐Shik Kim South Korea 9 745 0.8× 208 1.0× 132 1.5× 69 1.0× 24 0.3× 15 833
Wouter Kruijne Netherlands 13 384 0.4× 110 0.5× 44 0.5× 60 0.9× 37 0.5× 23 427
Filipp Schmidt Germany 16 548 0.6× 140 0.7× 141 1.5× 85 1.2× 37 0.5× 54 679
Brian Odegaard United States 13 570 0.6× 273 1.3× 101 1.1× 19 0.3× 131 1.9× 30 684
Marcus R. Watson Canada 12 234 0.2× 160 0.8× 81 0.9× 38 0.6× 74 1.1× 22 427

Countries citing papers authored by Benchi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Benchi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benchi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Benchi Wang. A scholar is included among the top collaborators of Benchi 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 Benchi Wang. Benchi Wang 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.
Chen, Junxi, Geoffrey F. Woodman, Fuyong Chen, et al.. (2025). Automaticity speeds the retrieval of instances from the human hippocampus. Proceedings of the National Academy of Sciences. 122(44). e2518523122–e2518523122.
2.
Meng, Xianghong, et al.. (2024). Neural evidence for attentional capture by salient distractors. Nature Human Behaviour. 8(5). 932–944. 5 indexed citations
3.
Wang, Benchi & Jan Theeuwes. (2024). Salient distractor processing: inhibition following attentional capture. Trends in Cognitive Sciences. 28(7). 593–594. 2 indexed citations
4.
Yang, Yihan, et al.. (2022). Spatial enhancement due to statistical learning tracks the estimated spatial probability. Attention Perception & Psychophysics. 84(4). 1077–1086. 5 indexed citations
5.
Liu, Baiwei, Xinyu Li, Jan Theeuwes, & Benchi Wang. (2022). Long-term memory retrieval bypasses working memory. NeuroImage. 261. 119513–119513. 8 indexed citations
6.
Wang, Benchi, et al.. (2021). Across-trial spatial suppression in visual search. Attention Perception & Psychophysics. 83(7). 2744–2752. 5 indexed citations
7.
Zhao, Chenxiao, Xinyu Li, Michel Failing, & Benchi Wang. (2021). Automatically binding relevant and irrelevant features in visual working memory. Quarterly Journal of Experimental Psychology. 75(8). 1552–1560. 1 indexed citations
8.
Li, Xinyu, et al.. (2020). Proactively location-based suppression elicited by statistical learning. PLoS ONE. 15(6). e0233544–e0233544. 18 indexed citations
9.
Wang, Benchi & Jan Theeuwes. (2020). Implicit attentional biases in a changing environment. Acta Psychologica. 206. 103064–103064. 21 indexed citations
10.
Li, Xinyu, et al.. (2020). Visual memory benefits from prolonged encoding time regardless of stimulus type.. Journal of Experimental Psychology Learning Memory and Cognition. 46(10). 1998–2005. 16 indexed citations
11.
Li, Xinyu, et al.. (2020). Spatial suppression due to statistical learning tracks the estimated spatial probability. Attention Perception & Psychophysics. 83(1). 283–291. 18 indexed citations
12.
Wang, Benchi, et al.. (2019). Anticipatory Distractor Suppression Elicited by Statistical Regularities in Visual Search. Journal of Cognitive Neuroscience. 31(10). 1535–1548. 107 indexed citations
13.
Wang, Benchi, et al.. (2019). Statistical regularities bias overt attention. Attention Perception & Psychophysics. 81(6). 1813–1821. 44 indexed citations
14.
Failing, Michel, Benchi Wang, & Jan Theeuwes. (2019). Spatial suppression due to statistical regularities is driven by distractor suppression not by target activation. Attention Perception & Psychophysics. 81(5). 1405–1414. 42 indexed citations
15.
Failing, Michel, Tobias Feldmann‐Wüstefeld, Benchi Wang, Christian N. L. Olivers, & Jan Theeuwes. (2019). Statistical regularities induce spatial as well as feature-specific suppression.. Journal of Experimental Psychology Human Perception & Performance. 45(10). 1291–1303. 69 indexed citations
16.
Wang, Benchi & Jan Theeuwes. (2018). Statistical regularities modulate attentional capture independent of search strategy. Attention Perception & Psychophysics. 80(7). 1763–1774. 103 indexed citations
17.
Wang, Benchi & Jan Theeuwes. (2018). How to inhibit a distractor location? Statistical learning versus active, top-down suppression. Attention Perception & Psychophysics. 80(4). 860–870. 156 indexed citations
18.
Wang, Benchi, Jan Theeuwes, & Christian N. L. Olivers. (2017). When shorter delays lead to worse memories: Task disruption makes visual working memory temporarily vulnerable to test interference.. Journal of Experimental Psychology Learning Memory and Cognition. 44(5). 722–733. 19 indexed citations
19.
Wang, Benchi, et al.. (2016). Adverse orienting effects on visual working memory encoding and maintenance. Psychonomic Bulletin & Review. 24(4). 1261–1267. 6 indexed citations
20.
Wang, Benchi, Xiaohua Cao, Jan Theeuwes, Christian N. L. Olivers, & Zhiguo Wang. (2016). Separate capacities for storing different features in visual working memory.. Journal of Experimental Psychology Learning Memory and Cognition. 43(2). 226–236. 40 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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