Hsin-Hung Li

1.1k total citations
23 papers, 592 citations indexed

About

Hsin-Hung Li is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Networks and Communications. According to data from OpenAlex, Hsin-Hung Li has authored 23 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Computer Networks and Communications. Recurrent topics in Hsin-Hung Li's work include Neural and Behavioral Psychology Studies (11 papers), Visual perception and processing mechanisms (10 papers) and Neural dynamics and brain function (7 papers). Hsin-Hung Li is often cited by papers focused on Neural and Behavioral Psychology Studies (11 papers), Visual perception and processing mechanisms (10 papers) and Neural dynamics and brain function (7 papers). Hsin-Hung Li collaborates with scholars based in United States, Taiwan and United Kingdom. Hsin-Hung Li's co-authors include Marisa Carrasco, William Stout, Wei Ji, Antoine Barbot, Clayton E. Curtis, Chien‐Chung Chen, David J. Heeger, Chiang‐Shan R. Li, Andrew Chang and Ratna Nandakumar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Hsin-Hung Li

23 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin-Hung Li United States 14 418 112 109 82 36 23 592
Rocío Alcalá‐Quintana Spain 16 498 1.2× 28 0.3× 276 2.5× 14 0.2× 24 0.7× 31 668
Lee Averell Australia 5 222 0.5× 24 0.2× 71 0.7× 10 0.1× 11 0.3× 7 459
Erik–Jan van Kesteren Netherlands 7 169 0.4× 19 0.2× 71 0.7× 11 0.1× 15 0.4× 11 350
Daniel Calderone United States 9 387 0.9× 24 0.2× 79 0.7× 12 0.1× 7 0.2× 21 499
Jan Balaguer United Kingdom 9 239 0.6× 19 0.2× 48 0.4× 9 0.1× 15 0.4× 12 388
Daniel P. Newman Australia 13 367 0.9× 10 0.1× 49 0.4× 9 0.1× 5 0.1× 19 548
Natalia I. Córdova United States 7 377 0.9× 12 0.1× 45 0.4× 7 0.1× 24 0.7× 7 538
Amy H. Criss United States 18 899 2.2× 21 0.2× 167 1.5× 18 0.2× 31 0.9× 48 1.1k
Sebastian Walter Germany 7 284 0.7× 17 0.2× 149 1.4× 5 0.1× 59 1.6× 20 567
Andrei Teodorescu Israel 10 336 0.8× 23 0.2× 85 0.8× 5 0.1× 10 0.3× 12 442

Countries citing papers authored by Hsin-Hung Li

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Hung Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Hung Li. 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 Hsin-Hung Li. The network helps show where Hsin-Hung Li may publish in the future.

Co-authorship network of co-authors of Hsin-Hung Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin-Hung Li. A scholar is included among the top collaborators of Hsin-Hung Li 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 Hsin-Hung Li. Hsin-Hung Li 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.
Li, Hsin-Hung & Clayton E. Curtis. (2023). Neural population dynamics of human working memory. Current Biology. 33(17). 3775–3784.e4. 19 indexed citations
2.
Li, Hsin-Hung, Nina M. Hanning, & Marisa Carrasco. (2021). To look or not to look: dissociating presaccadic and covert spatial attention. Trends in Neurosciences. 44(8). 669–686. 34 indexed citations
3.
Li, Hsin-Hung, Thomas C. Sprague, Aspen H. Yoo, Wei Ji, & Clayton E. Curtis. (2021). Joint representation of working memory and uncertainty in human cortex. Neuron. 109(22). 3699–3712.e6. 41 indexed citations
4.
Li, Hsin-Hung, et al.. (2021). Different computations underlie overt presaccadic and covert spatial attention. Nature Human Behaviour. 5(10). 1418–1431. 36 indexed citations
5.
Li, Hsin-Hung & Wei Ji. (2020). Confidence reports in decision-making with multiple alternatives violate the Bayesian confidence hypothesis. Nature Communications. 11(1). 2004–2004. 43 indexed citations
6.
Li, Hsin-Hung, et al.. (2019). How exogenous spatial attention affects visual representation. Journal of Vision. 19(11). 4–4. 11 indexed citations
7.
Li, Hsin-Hung, et al.. (2019). Presaccadic attention improves or impairs performance by enhancing sensitivity to higher spatial frequencies. Scientific Reports. 9(1). 2659–2659. 28 indexed citations
8.
Li, Hsin-Hung, et al.. (2019). How exogenous spatial attention affects visual representation. Journal of Vision. 19(10). 100b–100b. 4 indexed citations
9.
Li, Hsin-Hung, et al.. (2018). Presaccadic attention reshapes the sensory representation even when it impairs performance. Journal of Vision. 18(10). 375–375. 2 indexed citations
10.
Chang, Andrew, Jaime S. Ide, Hsin-Hung Li, Chien‐Chung Chen, & Chiang‐Shan R. Li. (2017). Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing. eNeuro. 4(3). ENEURO.0061–17.2017. 23 indexed citations
11.
Li, Hsin-Hung, James Rankin, John Rinzel, Marisa Carrasco, & David J. Heeger. (2017). An attention model of binocular rivalry. Journal of Vision. 17(10). 579–579. 1 indexed citations
12.
Li, Hsin-Hung, James Rankin, John Rinzel, Marisa Carrasco, & David J. Heeger. (2017). Attention model of binocular rivalry. Proceedings of the National Academy of Sciences. 114(30). E6192–E6201. 54 indexed citations
13.
Li, Hsin-Hung, Antoine Barbot, & Marisa Carrasco. (2016). Saccade Preparation Reshapes Sensory Tuning. Current Biology. 26(12). 1564–1570. 75 indexed citations
14.
Li, Hsin-Hung, Antoine Barbot, & Marisa Carrasco. (2016). Saccade preparation reshapes perceptual tuning. Journal of Vision. 16(12). 1042–1042. 1 indexed citations
15.
Chang, Andrew, Chien‐Chung Chen, Hsin-Hung Li, & Chiang‐Shan R. Li. (2015). Perigenual anterior cingulate event-related potential precedes stop signal errors. NeuroImage. 111. 179–185. 9 indexed citations
16.
Li, Hsin-Hung, Marisa Carrasco, & David J. Heeger. (2015). Deconstructing Interocular Suppression: Attention and Divisive Normalization. PLoS Computational Biology. 11(10). e1004510–e1004510. 19 indexed citations
17.
Chang, Andrew, Chien‐Chung Chen, Hsin-Hung Li, & Chiang‐Shan R. Li. (2014). Event-Related Potentials for Post-Error and Post-Conflict Slowing. PLoS ONE. 9(6). e99909–e99909. 38 indexed citations
18.
Li, Hsin-Hung, Won Mok Shim, & Patrick Cavanagh. (2014). Backward position shift in apparent motion. Journal of Vision. 14(1). 16–16. 7 indexed citations
19.
Li, Hsin-Hung & Chien‐Chung Chen. (2011). Surround modulation of global form perception. Journal of Vision. 11(1). 17–17. 4 indexed citations
20.
Stout, William, Hsin-Hung Li, Ratna Nandakumar, & Daniel M. Bolt. (1997). MULTISIB: A Procedure to Investigate DIF When a Test is Intentionally Two-Dimensional. Applied Psychological Measurement. 21(3). 195–213. 24 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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