Anne Hsu

1.9k total citations
39 papers, 1.3k citations indexed

About

Anne Hsu is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Applied Psychology. According to data from OpenAlex, Anne Hsu has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 7 papers in Applied Psychology. Recurrent topics in Anne Hsu's work include Natural Language Processing Techniques (5 papers), Machine Learning and Algorithms (4 papers) and Language and cultural evolution (4 papers). Anne Hsu is often cited by papers focused on Natural Language Processing Techniques (5 papers), Machine Learning and Algorithms (4 papers) and Language and cultural evolution (4 papers). Anne Hsu collaborates with scholars based in United Kingdom, United States and Canada. Anne Hsu's co-authors include Frédéric E. Theunissen, Sarah M. N. Woolley, Thane Fremouw, Peter Dayan, Odelia Schwartz, Tomas Chamorro‐Premuzic, Nick Chater, Stian Reimers, Gorkan Ahmetoglu and Adam J. L. Harris and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Anne Hsu

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Hsu United Kingdom 16 671 197 182 178 151 39 1.3k
Nori Jacoby United States 21 963 1.4× 300 1.5× 340 1.9× 66 0.4× 305 2.0× 58 1.5k
Emmanuel Chemla France 27 456 0.7× 540 2.7× 211 1.2× 461 2.6× 182 1.2× 92 1.8k
Robert Morrison United States 17 665 1.0× 483 2.5× 122 0.7× 285 1.6× 311 2.1× 82 2.0k
John R. Vokey Canada 20 858 1.3× 363 1.8× 87 0.5× 281 1.6× 342 2.3× 50 1.4k
Katarzyna Pisanski Poland 26 332 0.5× 991 5.0× 605 3.3× 139 0.8× 299 2.0× 72 2.2k
Adena Schachner United States 11 539 0.8× 191 1.0× 214 1.2× 15 0.1× 304 2.0× 33 948
William J. Idsardi United States 22 813 1.2× 1.0k 5.1× 80 0.4× 280 1.6× 58 0.4× 65 1.8k
Bill Thompson United States 14 153 0.2× 299 1.5× 64 0.4× 191 1.1× 167 1.1× 57 986
Robert C. Berwick United States 27 663 1.0× 529 2.7× 359 2.0× 1.2k 6.9× 235 1.6× 98 3.3k
Hannes Matuschek Germany 7 641 1.0× 415 2.1× 21 0.1× 140 0.8× 167 1.1× 8 1.3k

Countries citing papers authored by Anne Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Anne Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Hsu. A scholar is included among the top collaborators of Anne Hsu 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 Anne Hsu. Anne Hsu 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.
2.
Hsu, Anne, et al.. (2023). Athletic identity and career engagement as predictors of mental well-being in North American professional athletes. International Journal of Sport and Exercise Psychology. 22(6). 1516–1528. 3 indexed citations
3.
Hsu, Anne, Jay B. Martin, Adam N. Sanborn, & Thomas L. Griffiths. (2019). Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. Behavior Research Methods. 51(4). 1706–1716. 2 indexed citations
4.
Hsu, Anne & Thomas L. Griffiths. (2016). Sampling Assumptions Affect Use of Indirect Negative Evidence in Language Learning. PLoS ONE. 11(6). e0156597–e0156597. 6 indexed citations
5.
Griffiths, Thomas L., Joshua T. Abbott, & Anne Hsu. (2016). Exploring Human Cognition Using Large Image Databases. Topics in Cognitive Science. 8(3). 569–588. 3 indexed citations
6.
Hsu, Anne & Ann Blandford. (2014). Designing for Psychological Change: Individuals’ Reward and Cost Valuations in Weight Management. Journal of Medical Internet Research. 16(6). e138–e138. 9 indexed citations
7.
Hsu, Anne & Ivo Vlaev. (2014). Monetary cost for time spent in everyday physical activities. Social Science & Medicine. 108. 74–80. 9 indexed citations
8.
Fenton, Norman, et al.. (2013). When ‘neutral’ evidence still has probative value (with implications from the Barry George Case). Science & Justice. 54(4). 274–287. 29 indexed citations
9.
Hsu, Anne, Jay B. Martin, Adam N. Sanborn, & Thomas L. Griffiths. (2012). Identifying representations of categories of discrete items using Markov chain Monte Carlo with People.. Cognitive Science. 34(34). 3 indexed citations
10.
Hsu, Anne, Nick Chater, & Paul Vitányi. (2011). The probabilistic analysis of language acquisition: Theoretical, computational, and experimental analysis. Cognition. 120(3). 380–390. 34 indexed citations
11.
Hsu, Anne, et al.. (2010). Effects of Generative and Discriminative Learning on Use of Category Variability. eScholarship (California Digital Library). 32(32). 5 indexed citations
12.
Hsu, Anne, et al.. (2010). Subjective randomness and natural scene statistics. Psychonomic Bulletin & Review. 17(5). 624–629. 10 indexed citations
13.
Hsu, Anne & Nick Chater. (2010). The Logical Problem of Language Acquisition: A Probabilistic Perspective. Cognitive Science. 34(6). 972–1016. 33 indexed citations
14.
Hsu, Anne, et al.. (2009). Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning. SSRN Electronic Journal. 22. 754–762. 12 indexed citations
15.
Chamorro‐Premuzic, Tomas, Stian Reimers, Anne Hsu, & Gorkan Ahmetoglu. (2008). Who art thou? Personality predictors of artistic preferences in a large UK sample: The importance of openness. British Journal of Psychology. 100(3). 501–516. 116 indexed citations
16.
Schwartz, Odelia, Anne Hsu, & Peter Dayan. (2007). Space and time in visual context. Nature reviews. Neuroscience. 8(7). 522–535. 227 indexed citations
17.
Hsu, Anne & Peter Dayan. (2007). An unsupervised learning model of neural plasticity: Orientation selectivity in goggle-reared kittens. Vision Research. 47(22). 2868–2877. 10 indexed citations
18.
Woolley, Sarah M. N., Thane Fremouw, Anne Hsu, & Frédéric E. Theunissen. (2005). Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds. Nature Neuroscience. 8(10). 1371–1379. 216 indexed citations
19.
Theunissen, Frédéric E., Sarah M. N. Woolley, Anne Hsu, & Thane Fremouw. (2004). Methods for the Analysis of Auditory Processing in the Brain. Annals of the New York Academy of Sciences. 1016(1). 187–207. 26 indexed citations
20.
Hsu, Anne, Sarah M. N. Woolley, Thane Fremouw, & Frédéric E. Theunissen. (2004). Modulation Power and Phase Spectrum of Natural Sounds Enhance Neural Encoding Performed by Single Auditory Neurons. Journal of Neuroscience. 24(41). 9201–9211. 94 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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