Ting-Hao Huang

1.2k total citations
56 papers, 616 citations indexed

About

Ting-Hao Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Ting-Hao Huang has authored 56 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Science Applications. Recurrent topics in Ting-Hao Huang's work include Topic Modeling (17 papers), Multimodal Machine Learning Applications (11 papers) and Natural Language Processing Techniques (11 papers). Ting-Hao Huang is often cited by papers focused on Topic Modeling (17 papers), Multimodal Machine Learning Applications (11 papers) and Natural Language Processing Techniques (11 papers). Ting-Hao Huang collaborates with scholars based in United States, Taiwan and Israel. Ting-Hao Huang's co-authors include Jeffrey P. Bigham, Lun‐Wei Ku, Amos Azaria, Hsin‐Hsi Chen, Illah Nourbakhsh, Walter S. Lasecki, Bing‐Yu Chen, Hua Shen, Dhruv Batra and C. Lawrence Zitnick and has published in prestigious journals such as IEEE Transactions on Consumer Electronics, Patterns and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Ting-Hao Huang

54 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting-Hao Huang United States 14 302 228 71 68 46 56 616
Christian Meurisch Germany 13 122 0.4× 95 0.4× 66 0.9× 47 0.7× 54 1.2× 38 420
Danna Gurari United States 15 219 0.7× 323 1.4× 107 1.5× 56 0.8× 21 0.5× 41 604
Mennatallah El‐Assady Germany 17 561 1.9× 582 2.6× 34 0.5× 35 0.5× 77 1.7× 92 1.1k
Kartik Talamadupula United States 16 636 2.1× 147 0.6× 31 0.4× 25 0.4× 73 1.6× 55 841
J.D. Zamfirescu-Pereira United States 9 266 0.9× 58 0.3× 77 1.1× 90 1.3× 90 2.0× 22 578
Keith Edwards United States 6 98 0.3× 174 0.8× 43 0.6× 168 2.5× 66 1.4× 10 503
Joon Sung Park United States 4 326 1.1× 65 0.3× 24 0.3× 38 0.6× 61 1.3× 6 642
Anthony Levas United States 12 141 0.5× 98 0.4× 20 0.3× 106 1.6× 40 0.9× 19 401
Yann Riche United States 10 78 0.3× 102 0.4× 46 0.6× 145 2.1× 59 1.3× 14 368
Michael Wolverton United States 10 231 0.8× 110 0.5× 19 0.3× 45 0.7× 65 1.4× 20 386

Countries citing papers authored by Ting-Hao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Hao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Hao Huang. 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 Ting-Hao Huang. The network helps show where Ting-Hao Huang may publish in the future.

Co-authorship network of co-authors of Ting-Hao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Hao Huang. A scholar is included among the top collaborators of Ting-Hao Huang 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 Ting-Hao Huang. Ting-Hao Huang 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
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Huang, Ting-Hao, et al.. (2023). Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. 554–565. 6 indexed citations
4.
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Chang, Minsuk, John Joon Young Chung, Katy Ilonka Gero, et al.. (2023). The Second Workshop on Intelligent and Interactive Writing Assistants. 1–5. 7 indexed citations
6.
Huang, Ting-Hao, et al.. (2023). Nationality Bias in Text Generation. 116–122. 13 indexed citations
7.
Lee, Jooyoung, et al.. (2023). Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 163–174. 14 indexed citations
8.
Chen, Vincent, et al.. (2022). Learning to Rank Visual Stories From Human Ranking Data. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6365–6378. 4 indexed citations
9.
Huang, Ting-Hao, et al.. (2022). Empowering local communities using artificial intelligence. Patterns. 3(3). 100449–100449. 38 indexed citations
10.
Gao, Yanjun, Ting-Hao Huang, & Rebecca J. Passonneau. (2021). Learning Clause Representation from Dependency-Anchor Graph for Connective Prediction. 54–66. 1 indexed citations
11.
Huang, Ting-Hao, et al.. (2020). RISE Video Dataset: Recognizing Industrial Smoke Emissions. arXiv (Cornell University). 2 indexed citations
12.
Cross, Jennifer, et al.. (2020). Smell Pittsburgh. ACM Transactions on Interactive Intelligent Systems. 10(4). 1–49. 16 indexed citations
13.
Huang, Ting-Hao, Walter S. Lasecki, Amos Azaria, & Jeffrey P. Bigham. (2017). "Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. arXiv (Cornell University). 79–88. 13 indexed citations
14.
Huang, Ting-Hao, Francis Ferraro, Nasrin Mostafazadeh, et al.. (2016). Visual Storytelling. 1233–1239. 138 indexed citations
15.
Ferraro, Francis, Nasrin Mostafazadeh, Ting-Hao Huang, et al.. (2015). On Available Corpora for Empirical Methods in Vision & Language.. arXiv (Cornell University). 1 indexed citations
16.
Huang, Ting-Hao. (2013). Social Metaphor Detection via Topical Analysis. International Joint Conference on Natural Language Processing. 19(2). 14–22. 5 indexed citations
17.
Huang, Ting-Hao, et al.. (2012). Modeling Pollyanna Phenomena in Chinese Sentiment Analysis. International Conference on Computational Linguistics. 231–238. 1 indexed citations
18.
Ku, Lun‐Wei, Ting-Hao Huang, & Hsin‐Hsi Chen. (2011). Predicting Opinion Dependency Relations for Opinion Analysis. International Joint Conference on Natural Language Processing. 345–353. 4 indexed citations
19.
Huang, Ting-Hao, et al.. (2007). 3D Model Streaming based on a JPEG 2000 Image. 1–2. 11 indexed citations
20.
Huang, Ting-Hao, et al.. (2006). View-dependent JPEG 2000-based mesh streaming. 177–177. 2 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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