Wen‐Ting Chung

458 total citations
16 papers, 324 citations indexed

About

Wen‐Ting Chung is a scholar working on Artificial Intelligence, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, Wen‐Ting Chung has authored 16 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 5 papers in Developmental and Educational Psychology. Recurrent topics in Wen‐Ting Chung's work include Social Media and Politics (3 papers), Misinformation and Its Impacts (3 papers) and Innovative Teaching and Learning Methods (3 papers). Wen‐Ting Chung is often cited by papers focused on Social Media and Politics (3 papers), Misinformation and Its Impacts (3 papers) and Innovative Teaching and Learning Methods (3 papers). Wen‐Ting Chung collaborates with scholars based in United States, Chile and Türkiye. Wen‐Ting Chung's co-authors include Glenda Stump, Jonathan C. Hilpert, Wonsik Kim, Jenefer Husman, Yu‐Ru Lin, Jenefer Husman, Rebecca Hwa, Adriana Kovashka, Ji Eun Lee and Jieun Lee and has published in prestigious journals such as Journal of Engineering Education, Humanities and Social Sciences Communications and Computer Applications in Engineering Education.

In The Last Decade

Wen‐Ting Chung

16 papers receiving 298 citations

Peers

Countries citing papers authored by Wen‐Ting Chung

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Ting Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ting Chung. 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 Wen‐Ting Chung. The network helps show where Wen‐Ting Chung may publish in the future.

Co-authorship network of co-authors of Wen‐Ting Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Ting Chung. A scholar is included among the top collaborators of Wen‐Ting Chung 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 Wen‐Ting Chung. Wen‐Ting Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization 2022 ·arXiv (Cornell University) ·(unknown), Adriana Kovashka, Wen‐Ting Chung, Yu‐Ru Lin	2
2	Are Mutated Misinformation More Contagious? A Case Study of COVID-19 Misinformation on Twitter 2022 ·(unknown), Yu‐Ru Lin, Wen‐Ting Chung	5
3	Characterizing User Susceptibility to COVID-19 Misinformation on Twitter 2022 ·Proceedings of the International AAAI Conference on Web and Social Media ·(unknown), Yu‐Ru Lin, Wen‐Ting Chung, Ang Li, Adriana Kovashka	7
4	Tribe or Not? Critical Inspection of Group Differences Using TribalGram 2022 ·ACM Transactions on Interactive Intelligent Systems ·(unknown), (unknown), Yu‐Ru Lin, Wen‐Ting Chung, Rebecca Hwa	6
5	The dynamics of Twitter users’ gun narratives across major mass shooting events 2020 ·Humanities and Social Sciences Communications ·Yu‐Ru Lin, Wen‐Ting Chung	13
6	MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis 2020 ·Proceedings of the International AAAI Conference on Web and Social Media ·(unknown), Yu‐Ru Lin, Rebecca Hwa, (unknown), (unknown), Wen‐Ting Chung	4
7	Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models 2020 ·(unknown), Rebecca Hwa, Yu‐Ru Lin, Wen‐Ting Chung	4
8	Activism via attention: interpretable spatiotemporal learning to forecast protest activities 2019 ·EPJ Data Science ·(unknown), Yu‐Ru Lin, Wen‐Ting Chung, (unknown), (unknown)	15
9	Probing Construct Validity in Data-Driven Disaster Analysis 2016 ·Wen‐Ting Chung, Yu‐Ru Lin	1
10	A novel software framework for teaching aircraft dynamics and control 2013 ·Computer Applications in Engineering Education ·(unknown), Wen‐Ting Chung, Jenefer Husman, (unknown)	8
11	Examining students' future time perspective: Pathways to knowledge building¹ 2012 ·Japanese Psychological Research ·Jonathan C. Hilpert, Jenefer Husman, Glenda Stump, Wonsik Kim, Wen‐Ting Chung, (unknown)	55
12	Collaborative Learning in Engineering Students: Gender and Achievement 2011 ·Journal of Engineering Education ·Glenda Stump, Jonathan C. Hilpert, Jenefer Husman, Wen‐Ting Chung, Wonsik Kim	173
13	Steps toward a sound measure of engineering student attitudes: Pittsburgh Engineering Attitudes Scale - Revised 2009 ·Jonathan C. Hilpert, Glenda Stump, Jenefer Husman, Wonsik Kim, Wen‐Ting Chung, Jieun Lee	6
14	Student beliefs about intelligence: Relationship to learning 2009 ·Glenda Stump, Jenefer Husman, Wen‐Ting Chung, (unknown)	9
15	Connecting to the future: How the perception of future impacts engineering undergraduate students' learning and performance 2009 ·Wen‐Ting Chung, (unknown), Jenefer Husman, Glenda Stump, (unknown), (unknown)	5
16	Addressing engineering educators’ concerns: Collaborative learning and achievement 2008 ·Wen‐Ting Chung, Glenda Stump, Jonathan C. Hilpert, Jenefer Husman, Wonsik Kim, Ji Eun Lee	11

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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