Yimin Chen

2.3k total citations · 3 hit papers
17 papers, 1.4k citations indexed

About

Yimin Chen is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Yimin Chen has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 5 papers in Information Systems. Recurrent topics in Yimin Chen's work include Misinformation and Its Impacts (6 papers), Spam and Phishing Detection (4 papers) and Sexuality, Behavior, and Technology (3 papers). Yimin Chen is often cited by papers focused on Misinformation and Its Impacts (6 papers), Spam and Phishing Detection (4 papers) and Sexuality, Behavior, and Technology (3 papers). Yimin Chen collaborates with scholars based in Canada, United States and China. Yimin Chen's co-authors include Victoria L. Rubin, Nadia Conroy, Niall Conroy, Jianfeng Ma, Qi Jiang, Jing‐Hao Xue, Xindi Ma, Qingmin Liao, Wenming Yang and Baopu Li and has published in prestigious journals such as IEEE Internet of Things Journal, Sex Roles and Violence Against Women.

In The Last Decade

Yimin Chen

17 papers receiving 1.3k 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.

Automatic deception detection: Methods for finding fake news

2015 592 citations Nadia Conroy, Victoria L. Rubin et al. Proceedings of the Association for Information Science and Technology profile →
Deception detection for news: Three types of fakes

2015 327 citations Victoria L. Rubin, Yimin Chen et al. Proceedings of the Association for Information Science and Technology profile →
Misleading Online Content

2015 257 citations Yimin Chen, Niall Conroy et al. profile →

Peers

Yimin Chen

SPS

IS

AI

SP

COMMU

Nadia Conroy Canada

Svitlana Volkova United States

Jin Yea Jang United States

Ahmet Aker United Kingdom

Naeemul Hassan United States

Giovanni Da San Martino Italy

Anastasia Giachanou Switzerland

Pik-Mai Hui United States

Alberto Barrón‐Cedeño Spain

Giovanni Luca Ciampaglia United States

Nadia Conroy Canada

Yimin Chen

902 ×0.8

SPS

660 ×0.8

IS

454 ×0.7

AI

231 ×0.9

SP

150 ×0.7

COMMU

Citations per year, relative to Yimin Chen Yimin Chen (= 1×) peers Nadia Conroy

Countries citing papers authored by Yimin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yimin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yimin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yimin Chen. A scholar is included among the top collaborators of Yimin Chen 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 Yimin Chen. Yimin Chen 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:

17 of 17 papers shown

1.

Chen, Yimin, et al.. (2025). Inclusive and Accessible Bystander Interventions for Technology Facilitated Sexual Violence. 2772–2775. 1 indexed citations

2.

Hodson, Jaigris, et al.. (2024). “You Did It to Yourself”: An Exploratory Study of Myths About Gender-Based Technology-Facilitated Violence and Abuse Among Men. Sex Roles. 90(11). 1521–1533. 2 indexed citations

3.

Chen, Yimin, Kaitlynn Mendes, Chandell Gosse, Jaigris Hodson, & George Veletsianos. (2024). Canadian Gender-Based Violence Prevention Programs: Gaps and Opportunities. Violence Against Women. 31(10). 2682–2704. 3 indexed citations

4.

Chen, Yimin, et al.. (2023). ChatGPT Media Coverage Metrics; Initial Examination. Proceedings of the Association for Information Science and Technology. 60(1). 935–937. 4 indexed citations

5.

Ma, Xindi, Baopu Li, Qi Jiang, et al.. (2021). NOSnoop: An Effective Collaborative Meta-Learning Scheme Against Property Inference Attack. IEEE Internet of Things Journal. 9(9). 6778–6789. 10 indexed citations

6.

Liu, Liyang, Zhanghui Kuang, Jing‐Hao Xue, et al.. (2021). Towards Impartial Multi-task Learning. UCL Discovery (University College London). 16 indexed citations

7.

Rubin, Victoria L., et al.. (2019). litrl/litrl_code: Litrl Browser Experimental 0.14.0.0 Public. Figshare. 1 indexed citations

8.

Rubin, Victoria L., et al.. (2019). A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News. The Journal of Open Source Software. 4(35). 1208–1208. 6 indexed citations

9.

Chen, Yimin. (2018). “Being a butt while on the internet”: Perceptions of what is and isn't internet trolling. Proceedings of the Association for Information Science and Technology. 55(1). 76–85. 4 indexed citations

10.

Chen, Yimin & Victoria L. Rubin. (2018). Perceptions of Clickbait: A Q - Methodology Approach. Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI. 7 indexed citations

11.

Chen, Yimin, Niall Conroy, & Victoria L. Rubin. (2015). Misleading Online Content. 15–19. 257 indexed citations breakdown →

12.

Conroy, Nadia, Victoria L. Rubin, & Yimin Chen. (2015). Automatic deception detection: Methods for finding fake news. Proceedings of the Association for Information Science and Technology. 52(1). 1–4. 592 indexed citations breakdown →

13.

Rubin, Victoria L., Yimin Chen, & Nadia Conroy. (2015). Deception detection for news: Three types of fakes. Proceedings of the Association for Information Science and Technology. 52(1). 1–4. 327 indexed citations breakdown →

14.

Chen, Yimin, Nadia Conroy, & Victoria L. Rubin. (2015). News in an online world: The need for an “automatic crap detector”. Proceedings of the Association for Information Science and Technology. 52(1). 1–4. 93 indexed citations

15.

Chen, Yimin, et al.. (2013). A simple analytic solution for the perspective-3-point problem. International Journal of Digital Content Technology and its Applications. 7(10). 129–138. 1 indexed citations

16.

Rubin, Victoria L. & Yimin Chen. (2012). Information manipulation classification theory for LIS and NLP. Proceedings of the American Society for Information Science and Technology. 49(1). 1–5. 4 indexed citations

17.

Rubin, Victoria L., et al.. (2010). Artificially intelligent conversational agents in libraries. Library Hi Tech. 28(4). 496–522. 70 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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