Jin Yea Jang

1.5k total citations · 1 hit paper
18 papers, 919 citations indexed

About

Jin Yea Jang is a scholar working on Sociology and Political Science, Artificial Intelligence and Communication. According to data from OpenAlex, Jin Yea Jang has authored 18 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 10 papers in Artificial Intelligence and 5 papers in Communication. Recurrent topics in Jin Yea Jang's work include Misinformation and Its Impacts (7 papers), Speech and dialogue systems (6 papers) and Social Media and Politics (5 papers). Jin Yea Jang is often cited by papers focused on Misinformation and Its Impacts (7 papers), Speech and dialogue systems (6 papers) and Social Media and Politics (5 papers). Jin Yea Jang collaborates with scholars based in United States and South Korea. Jin Yea Jang's co-authors include Svitlana Volkova, Hannah Rashkin, Eunsol Choi, Yejin Choi, Nathan O. Hodas, Kyle Shaffer, Kyungsik Han, Dongwon Lee, Patrick C. Shih and San Kim and has published in prestigious journals such as Computer, Empirical Methods in Natural Language Processing and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Jin Yea Jang

16 papers receiving 875 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking

2017 490 citations Hannah Rashkin, Eunsol Choi et al. profile →

Peers

Jin Yea Jang

SPS

AI

IS

COMMU

SP

Nadia Conroy Canada

Niall Conroy Canada

Yimin Chen Canada

Ahmet Aker United Kingdom

Giovanni Luca Ciampaglia United States

Mainack Mondal India

Gabriel Magno Brazil

Marisa Vasconcelos Brazil

Megan Squire United States

Nir Grinberg United States

Nadia Conroy Canada

Jin Yea Jang

902 ×1.2

SPS

454 ×0.9

AI

660 ×1.5

IS

150 ×1.3

COMMU

231 ×2.1

SP

Citations per year, relative to Jin Yea Jang Jin Yea Jang (= 1×) peers Nadia Conroy

Countries citing papers authored by Jin Yea Jang

Since Specialization

Citations

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

Fields of papers citing papers by Jin Yea Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Yea Jang. 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 Jin Yea Jang. The network helps show where Jin Yea Jang may publish in the future.

Co-authorship network of co-authors of Jin Yea Jang

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Jang, Jin Yea, et al.. (2024). Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context Richness. 14509–14521.

2.

Jang, Jin Yea, et al.. (2023). Gesture Classification Based on System’s Emotion and Strategy for Korean Dialogue Systems. 1838–1840.

3.

Kim, San, et al.. (2022). Characteristic Comparison of Korean Unstructured Dialogue Corpora by Morphological Analysis. 16. 1–4. 1 indexed citations

4.

Jang, Jin Yea, et al.. (2021). BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3447–3452. 6 indexed citations

5.

Kim, San, et al.. (2021). A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems. 352–365. 10 indexed citations

6.

Jang, Jin Yea, et al.. (2020). A Performance Comparison among Different Amounts of Context on Deep Learning Based Intent Classification Models. 1336–1338. 2 indexed citations

7.

Kim, San, et al.. (2020). Robust Keypoint Normalization Method for Korean Sign Language Translation using Transformer. 8 indexed citations

8.

Jang, Jin Yea, et al.. (2020). Utilizing Multi-modal Emotion Information in Dialogue Strategy Classification. 943–945. 1 indexed citations

9.

Volkova, Svitlana & Jin Yea Jang. (2018). Misleading or Falsification. 575–583. 36 indexed citations

10.

Han, Kyungsik, Hyunggu Jung, Jin Yea Jang, & Dongwon Lee. (2018). Understanding Users’ Privacy Attitudes through Subjective and Objective Assessments: An Instagram Case Study. Computer. 51(6). 18–28. 5 indexed citations

11.

Rashkin, Hannah, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, & Yejin Choi. (2017). Truth of Varying Shades: On Political Fact-Checking and Fake News. Empirical Methods in Natural Language Processing. 1 indexed citations

12.

Volkova, Svitlana, Kyle Shaffer, Jin Yea Jang, & Nathan O. Hodas. (2017). Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. 647–653. 207 indexed citations

13.

Rashkin, Hannah, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, & Yejin Choi. (2017). Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. 2931–2937. 490 indexed citations breakdown →

14.

Jang, Jin Yea, Kyungsik Han, Dongwon Lee, Haiyan Jia, & Patrick C. Shih. (2016). Teens Engage More with Fewer Photos. 71–81. 5 indexed citations

15.

Han, Kyungsik, Sanghack Lee, Jin Yea Jang, Yong Ju Jung, & Dongwon Lee. (2016). Teens are from mars, adults are from venus. 35–44. 9 indexed citations

16.

Han, Kyungsik, Jin Yea Jang, & Dongwon Lee. (2015). Exploring Tag-based Like Networks. 1941–1946. 14 indexed citations

17.

Jang, Jin Yea, Kyungsik Han, & Dongwon Lee. (2015). No Reciprocity in "Liking" Photos. 273–282. 33 indexed citations

18.

Jang, Jin Yea, Kyungsik Han, Patrick C. Shih, & Dongwon Lee. (2015). Generation Like. 4039–4042. 91 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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