Kai‐Cheng Yang

2.5k total citations · 5 hit papers
62 papers, 1.4k citations indexed

About

Kai‐Cheng Yang is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kai‐Cheng Yang has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 18 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Kai‐Cheng Yang's work include Misinformation and Its Impacts (22 papers), Spam and Phishing Detection (8 papers) and Hate Speech and Cyberbullying Detection (8 papers). Kai‐Cheng Yang is often cited by papers focused on Misinformation and Its Impacts (22 papers), Spam and Phishing Detection (8 papers) and Hate Speech and Cyberbullying Detection (8 papers). Kai‐Cheng Yang collaborates with scholars based in United States, China and Italy. Kai‐Cheng Yang's co-authors include Filippo Menczer, Onur Varol, Pik-Mai Hui, Emilio Ferrara, Alessandro Flammini, Francesco Pierri, John Bryden, Brea L. Perry, Clayton A. Davis and Matthew DeVerna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Kai‐Cheng Yang

52 papers receiving 1.4k citations

Hit Papers

Arming the public with artificial intelligence to counter... 2019 2026 2021 2023 2019 2020 2022 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai‐Cheng Yang United States 15 850 432 402 263 190 62 1.4k
Alessio Signorini United States 9 390 0.5× 273 0.6× 327 0.8× 154 0.6× 177 0.9× 12 1.4k
Adrian Benton United States 11 657 0.8× 139 0.3× 456 1.1× 167 0.6× 353 1.9× 24 1.4k
Yelena Mejova United States 15 500 0.6× 141 0.3× 296 0.7× 209 0.8× 142 0.7× 74 1.1k
Eiji Aramaki Japan 19 278 0.3× 123 0.3× 694 1.7× 119 0.5× 66 0.3× 153 1.6k
Scott H. Burton United States 11 420 0.5× 140 0.3× 187 0.5× 225 0.9× 320 1.7× 18 1.1k
Chung‐hong Chan Hong Kong 18 526 0.6× 57 0.1× 258 0.6× 336 1.3× 102 0.5× 60 1.2k
Jiawei Li United States 15 347 0.4× 148 0.3× 189 0.5× 98 0.4× 100 0.5× 58 959
David Huynh United States 15 340 0.4× 351 0.8× 559 1.4× 89 0.3× 197 1.0× 35 1.4k
Abeed Sarker United States 27 439 0.5× 269 0.6× 1.4k 3.5× 57 0.2× 216 1.1× 123 3.0k

Countries citing papers authored by Kai‐Cheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Cheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Cheng Yang. 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 Kai‐Cheng Yang. The network helps show where Kai‐Cheng Yang may publish in the future.

Co-authorship network of co-authors of Kai‐Cheng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Cheng Yang. A scholar is included among the top collaborators of Kai‐Cheng Yang 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 Kai‐Cheng Yang. Kai‐Cheng Yang 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.
Yang, Kai‐Cheng, Shengjie Luo, Jiacheng Sun, et al.. (2025). How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. 46–85.
2.
Hu, Yibo, Xiaozhou Liao, Jisoo Kim, et al.. (2025). Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Content. Political Analysis. 33(4). 425–445. 1 indexed citations
3.
Cresci, Stefano, Kai‐Cheng Yang, Angelo Spognardi, et al.. (2025). Demystifying Misconceptions in Social Bots Research. Social Science Computer Review.
4.
Zhang, Maolin, et al.. (2025). Structural vibration characteristics of offshore wind turbines under tropical cyclones. SHILAP Revista de lepidopterología. 2(4). 100084–100084.
7.
DeVerna, Matthew, Harry Yaojun Yan, Kai‐Cheng Yang, & Filippo Menczer. (2024). Fact-checking information from large language models can decrease headline discernment. Proceedings of the National Academy of Sciences. 121(50). e2322823121–e2322823121. 16 indexed citations
8.
Yang, Qiang, et al.. (2024). DMGAE: An interpretable representation learning method for directed scale-free networks based on autoencoder and masking. Information Processing & Management. 62(3). 104007–104007.
9.
Yang, Kai‐Cheng & Filippo Menczer. (2024). Anatomy of an AI-powered malicious social botnet. SHILAP Revista de lepidopterología. 4. 27 indexed citations
10.
Yang, Kai‐Cheng, et al.. (2024). Characteristics and Prevalence of Fake Social Media Profiles with AI-generated Faces. 2(4). 8 indexed citations
11.
Yan, Harry Yaojun, Kai‐Cheng Yang, James Shanahan, & Filippo Menczer. (2023). Exposure to social bots amplifies perceptual biases and regulation propensity. Scientific Reports. 13(1). 20707–20707. 8 indexed citations
12.
Gan, Zhiwei, Youxian Zhang, Sibei Chen, et al.. (2023). Transcriptomic and metabolomic perspectives for the growth of alfalfa (Medicago sativa L.) seedlings with the effect of vanadium exposure. Chemosphere. 336. 139222–139222. 6 indexed citations
13.
Lukito, Josephine, et al.. (2022). Algorithmic Agents in the Hybrid Media System: Social Bots, Selective Amplification, and Partisan News about COVID-19. Human Communication Research. 48(3). 516–542. 38 indexed citations
14.
Pierri, Francesco, Brea L. Perry, Matthew DeVerna, et al.. (2022). Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal. Scientific Reports. 12(1). 5966–5966. 144 indexed citations breakdown →
15.
Yan, Harry Yaojun, Kai‐Cheng Yang, Filippo Menczer, & James Shanahan. (2020). Asymmetrical perceptions of partisan political bots. New Media & Society. 23(10). 3016–3037. 32 indexed citations
16.
Yang, Kai‐Cheng, Brian Aronson, & Yong‐Yeol Ahn. (2020). BiRank: Fast and Flexible Ranking on Bipartite Networks with R and Python. The Journal of Open Source Software. 5(51). 2315–2315. 6 indexed citations
17.
Wu, Zhi-Xi, et al.. (2019). Advantage of Being Multicomponent and Spatial: Multipartite Viruses Colonize Structured Populations with Lower Thresholds. Physical Review Letters. 123(13). 138101–138101. 7 indexed citations
18.
Yang, Kai‐Cheng, Zhi-Xi Wu, Petter Holme, & Etsuko Nonaka. (2017). Expansion of cooperatively growing populations: Optimal migration rates and habitat network structures. Physical review. E. 95(1). 12306–12306. 2 indexed citations
19.
Yang, Kai‐Cheng, et al.. (2010). The Structure and Functions of P-Glycoprotein. Current Medicinal Chemistry. 17(8). 786–800. 76 indexed citations
20.
Yang, Kai‐Cheng, et al.. (1989). The S RN 1 reaction of the sodium salt of 2-nitropropane with 1-chloro-3-nitro-2-butene.. 47(5). 509–511.

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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