Tiffany Y. Tang

1.4k total citations
69 papers, 761 citations indexed

About

Tiffany Y. Tang is a scholar working on Cognitive Neuroscience, Information Systems and Artificial Intelligence. According to data from OpenAlex, Tiffany Y. Tang has authored 69 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 22 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Tiffany Y. Tang's work include Autism Spectrum Disorder Research (18 papers), Recommender Systems and Techniques (15 papers) and Child Development and Digital Technology (9 papers). Tiffany Y. Tang is often cited by papers focused on Autism Spectrum Disorder Research (18 papers), Recommender Systems and Techniques (15 papers) and Child Development and Digital Technology (9 papers). Tiffany Y. Tang collaborates with scholars based in China, Canada and United States. Tiffany Y. Tang's co-authors include Pinata Winoto, Gordon McCalla, Gordon I. McCalla, Bart Boets, Jean Steyaert, Yongfu Wang, Stephanie Van der Donck, Nicky Daniëls, Kaat Alaerts and Jellina Prinsen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Tiffany Y. Tang

64 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiffany Y. Tang China 15 375 243 165 127 97 69 761
Martha E. Crosby United States 16 343 0.9× 168 0.7× 204 1.2× 58 0.5× 154 1.6× 55 890
Robert Hendley United Kingdom 14 181 0.5× 137 0.6× 104 0.6× 68 0.5× 39 0.4× 53 903
Christos Fidas Greece 20 424 1.1× 127 0.5× 74 0.4× 183 1.4× 52 0.5× 98 1.1k
Nor Azan Mat Zin Malaysia 18 289 0.8× 196 0.8× 172 1.0× 48 0.4× 233 2.4× 98 996
Amy Ogan United States 17 167 0.4× 251 1.0× 295 1.8× 124 1.0× 262 2.7× 87 981
Stephan Weibelzahl Ireland 14 124 0.3× 145 0.6× 182 1.1× 37 0.3× 99 1.0× 39 590
Kasia Müldner Canada 19 278 0.7× 349 1.4× 363 2.2× 59 0.5× 192 2.0× 61 1.0k
Craig Stewart United Kingdom 17 134 0.4× 158 0.7× 215 1.3× 250 2.0× 91 0.9× 76 900
Luís Carriço Portugal 17 257 0.7× 125 0.5× 68 0.4× 149 1.2× 25 0.3× 127 936
Anne Aula Finland 17 444 1.2× 148 0.6× 92 0.6× 175 1.4× 24 0.2× 26 993

Countries citing papers authored by Tiffany Y. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Y. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiffany Y. Tang. 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 Tiffany Y. Tang. The network helps show where Tiffany Y. Tang may publish in the future.

Co-authorship network of co-authors of Tiffany Y. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Y. Tang. A scholar is included among the top collaborators of Tiffany Y. Tang 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 Tiffany Y. Tang. Tiffany Y. Tang 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.
Liu, Zhimin, Tiffany Y. Tang, Jiawei Pan, & Gang Han. (2025). Anatomizing Resilience: The Multi-Dimensional Evolution and Drivers of Regional Collaborative Innovation Networks. Systems. 13(11). 1017–1017.
2.
Daniëls, Nicky, Tiffany Y. Tang, Stephanie Van der Donck, et al.. (2024). Chronic oxytocin administration stimulates the oxytocinergic system in children with autism. Nature Communications. 15(1). 58–58. 19 indexed citations
3.
Tang, Tiffany Y., Stephanie Van der Donck, Jean Steyaert, et al.. (2024). Face Processing in Prematurely Born Individuals—A Systematic Review. Brain Sciences. 14(12). 1168–1168.
4.
Daniëls, Nicky, Stephanie Van der Donck, Tiffany Y. Tang, et al.. (2024). Impact of chronic intranasal oxytocin administration on face expression processing in autistic children: a randomized controlled trial using fMRI. Molecular Autism. 15(1). 53–53. 1 indexed citations
5.
Daniëls, Nicky, Stephanie Van der Donck, Tiffany Y. Tang, et al.. (2023). Can repeated intranasal oxytocin administration affect reduced neural sensitivity towards expressive faces in autism? A randomized controlled trial. Journal of Child Psychology and Psychiatry. 64(11). 1583–1595. 14 indexed citations
6.
Daniëls, Nicky, Jean Steyaert, Jellina Prinsen, et al.. (2023). Effects of multiple-dose intranasal oxytocin administration on social responsiveness in children with autism: a randomized, placebo-controlled trial. Molecular Autism. 14(1). 16–16. 33 indexed citations
7.
Tang, Tiffany Y., et al.. (2018). Microblog Mood Predicts the Box Office Performance. 129–133.
8.
Winoto, Pinata, et al.. (2016). I will Help You Pass the Puzzle Piece to Your Partner if This is What You Want Me to. 601–606. 9 indexed citations
9.
Tang, Tiffany Y., Pinata Winoto, & Yongfu Wang. (2015). Having Fun Over a Distance. 1187–1192. 4 indexed citations
10.
Tang, Tiffany Y., Pinata Winoto, & Yongfu Wang. (2015). Supporting Multiplayer Online Ball Passing at a Distance with Multiple Sets of Kinect. 22. 107–111. 1 indexed citations
11.
Tang, Tiffany Y., et al.. (2013). Digital Age Professional Development for College Faculty from the Ends of the Earth. Society for Information Technology & Teacher Education International Conference. 2013(1). 2646–2648. 1 indexed citations
12.
Tang, Tiffany Y., et al.. (2011). Analysis of a multi-domain recommender system. 280–285. 4 indexed citations
13.
Tang, Tiffany Y. & Gordon I. McCalla. (2009). The Pedagogical Value of Papers: a Collaborative-Filtering based Paper Recommender. Texas Digital Library (University of Texas). 10(2). 2. 28 indexed citations
14.
Tang, Tiffany Y. & Gordon McCalla. (2005). Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment. International journal on e-learning. 4(1). 105–129. 142 indexed citations
15.
Tang, Tiffany Y. & Gordon McCalla. (2005). Paper Annotation with Learner Models. Indian Journal of Medical Ethics. VIII(4). 654–661. 2 indexed citations
16.
Tang, Tiffany Y. & Gordon I. McCalla. (2004). On the Pedagogically Guided Paper Recommendation for an Evolving Web-Based Learning System.. The Florida AI Research Society. 86–92. 7 indexed citations
17.
Tang, Tiffany Y., Pinata Winoto, & Keith C. C. Chan. (2004). On the temporal analysis for improved hybrid recommendations. 240. 214–220. 9 indexed citations
18.
Winoto, Pinata & Tiffany Y. Tang. (2002). Competing in a queue for resource allocations among non-cooperative agents. European Conference on Artificial Intelligence. 48(5). 73–77. 2 indexed citations
19.
Tang, Tiffany Y. & Gordon McCalla. (2002). Student modeling for a web-based learning environment: a data mining approach. National Conference on Artificial Intelligence. 967–968. 33 indexed citations
20.
Winoto, Pinata & Tiffany Y. Tang. (2002). A multi-agent queuing model for resource allocations in a non-cooperative game. 170–171.

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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