Yuheng Hu

2.0k total citations · 1 hit paper
49 papers, 1.1k citations indexed

About

Yuheng Hu is a scholar working on Sociology and Political Science, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yuheng Hu has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Sociology and Political Science, 18 papers in Artificial Intelligence and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Yuheng Hu's work include Digital Marketing and Social Media (20 papers), Complex Network Analysis Techniques (11 papers) and Sentiment Analysis and Opinion Mining (10 papers). Yuheng Hu is often cited by papers focused on Digital Marketing and Social Media (20 papers), Complex Network Analysis Techniques (11 papers) and Sentiment Analysis and Opinion Mining (10 papers). Yuheng Hu collaborates with scholars based in United States, China and Bermuda. Yuheng Hu's co-authors include Subbarao Kambhampati, Lydia Manikonda, Yili Hong, Yingda Lu, David Gal, J. Christopher Westland, Vibha Singhal Sinha, Rama Akkiraju, Anbang Xu and Cheng Chen and has published in prestigious journals such as MIS Quarterly, Information & Management and Information Systems Research.

In The Last Decade

Yuheng Hu

47 papers receiving 1.0k citations

Hit Papers

What We Instagram: A Firs... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuheng Hu United States 13 576 223 170 144 130 49 1.1k
Zhicong Lu Hong Kong 18 625 1.1× 173 0.8× 270 1.6× 103 0.7× 151 1.2× 73 1.3k
Hyunjin Kang Singapore 21 688 1.2× 178 0.8× 162 1.0× 226 1.6× 86 0.7× 49 1.1k
Shenghua Zha United States 13 480 0.8× 116 0.5× 252 1.5× 141 1.0× 184 1.4× 33 1.1k
Thomas Chesney United Kingdom 16 404 0.7× 145 0.7× 109 0.6× 198 1.4× 124 1.0× 54 1.0k
Liqiang Huang China 16 713 1.2× 387 1.7× 205 1.2× 148 1.0× 110 0.8× 31 1.1k
Mohammad Salehan United States 11 1.0k 1.8× 227 1.0× 252 1.5× 204 1.4× 116 0.9× 23 1.3k
Jyun‐Cheng Wang Taiwan 11 400 0.7× 336 1.5× 120 0.7× 95 0.7× 206 1.6× 39 1.1k
Bo Xiao United States 18 766 1.3× 355 1.6× 185 1.1× 171 1.2× 98 0.8× 56 1.3k
Hamed Qahri‐Saremi United States 17 714 1.2× 155 0.7× 135 0.8× 119 0.8× 82 0.6× 37 1.3k
Albert Huang United States 16 576 1.0× 155 0.7× 210 1.2× 187 1.3× 95 0.7× 44 1.0k

Countries citing papers authored by Yuheng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yuheng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuheng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuheng Hu. A scholar is included among the top collaborators of Yuheng Hu 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 Yuheng Hu. Yuheng Hu 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.
Hong, Yili, et al.. (2025). Lost in the Crowd: How Group Size and Content Moderation Shape User Engagement in Live Streaming. Information Systems Research. 36(4). 2076–2095.
2.
Lu, Yingda, et al.. (2025). Engagement or entanglement? The dual impact of generative artificial intelligence in online knowledge exchange platforms. Information & Management. 62(6). 104178–104178. 3 indexed citations
3.
Hu, Yuheng, et al.. (2024). Customer Engagement Prediction on Social Media: A Graph Neural Network Method. Information Systems Research. 36(3). 1887–1897. 2 indexed citations
4.
Lu, Yingda, et al.. (2023). Information Foraging in the Era of AI: Exploring the Effect of ChatGPT on Digital Q&A Platforms. SSRN Electronic Journal. 3 indexed citations
5.
Lu, Yingda, et al.. (2022). Direct and Indirect Spillovers from Content Providers’ Switching: Evidence from Online Livestreaming. Information Systems Research. 34(3). 847–866. 50 indexed citations
6.
Hu, Yuheng, et al.. (2021). Examining the Impact of Television-Program-Induced Emotions on Online Word-of-Mouth Toward Television Advertising. Information Systems Research. 32(2). 605–632. 22 indexed citations
7.
Hu, Yuheng, et al.. (2021). Understanding Characteristics of Popular Streamers on Live Streaming Platforms: Evidence from Twitch.tv. Journal of the Association for Information Systems. 22(4). 1076–1098. 61 indexed citations
8.
Hu, Yuheng & Yili Hong. (2021). SHEDR: An End-to-End Deep Neural Event Detection and Recommendation Framework for Hyperlocal News Using Social Media. INFORMS journal on computing. 34(2). 790–806. 7 indexed citations
9.
Wang, Yilin, Yuheng Hu, Subbarao Kambhampati, & Baoxin Li. (2021). Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach. Proceedings of the International AAAI Conference on Web and Social Media. 9(1). 473–482. 3 indexed citations
11.
Hu, Yuheng, Ajita John, Dorée Duncan Seligmann, & Fei Wang. (2021). What Were the Tweets About? Topical Associations between Public Events and Twitter Feeds. Proceedings of the International AAAI Conference on Web and Social Media. 6(1). 154–161. 4 indexed citations
12.
Hu, Yuheng, Ali Tafti, & David Gal. (2019). Read This, Please? The Role of Politeness in Customer Service Engagement on Social Media. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 14 indexed citations
13.
Hu, Yuheng, Ali Tafti, & David Gal. (2018). Predicting Complainers on Social Media: A Machine Learning Approach. Journal of the Association for Information Systems. 1 indexed citations
14.
Hu, Yuheng, David Gal, & Yili Hong. (2018). Modeling Brand Personality with Business Value of Social Media Analytics: Predicting Brand Personality with User-generated Content and Firm-generated Content. Journal of the Association for Information Systems. 1 indexed citations
15.
Hu, Yuheng & Yili Hong. (2017). Modeling Twitter Engagement in Real-World Events. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations
16.
De, Sushovan, et al.. (2016). BayesWipe. Journal of Data and Information Quality. 8(1). 1–30. 13 indexed citations
17.
Hong, Yili, Yuheng Hu, & Gordon Burtch. (2015). How does Social Media Affect Contribution to Public versus Private Goods in Crowdfunding Campaigns. International Conference on Information Systems. 10 indexed citations
18.
De, Sushovan, Yuheng Hu, Yi Chen, & Subbarao Kambhampati. (2014). BayesWipe: A multimodal system for data cleaning and consistent query answering on structured bigdata. 15–24. 8 indexed citations
19.
Hu, Yuheng, Fei Wang, & Subbarao Kambhampati. (2013). Listening to the crowd: automated analysis of events via aggregated twitter sentiment. International Joint Conference on Artificial Intelligence. 2640–2646. 32 indexed citations
20.
Hu, Yuheng, et al.. (2007). Ontology driven adaptive data processing in wireless sensor networks. 46. 11 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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