Kai Shu

11.9k total citations · 8 hit papers
105 papers, 6.0k citations indexed

About

Kai Shu is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Kai Shu has authored 105 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 52 papers in Sociology and Political Science and 46 papers in Information Systems. Recurrent topics in Kai Shu's work include Misinformation and Its Impacts (49 papers), Spam and Phishing Detection (36 papers) and Topic Modeling (24 papers). Kai Shu is often cited by papers focused on Misinformation and Its Impacts (49 papers), Spam and Phishing Detection (36 papers) and Topic Modeling (24 papers). Kai Shu collaborates with scholars based in United States, China and Australia. Kai Shu's co-authors include Huan Liu, Suhang Wang, Jiliang Tang, Amy Sliva, Dongwon Lee, Reza Zafarani, Limeng Cui, Xinyi Zhou, Huan Liu and Jundong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Scientific Reports.

In The Last Decade

Kai Shu

96 papers receiving 5.7k citations

Hit Papers

5 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.

Fake News Detection on Social Media

2017 1.8k citations Kai Shu, Suhang Wang et al. profile →
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

2020 578 citations Kai Shu, Suhang Wang et al. profile →
dEFEND

2019 360 citations Kai Shu, Suhang Wang et al. profile →
Beyond News Contents

2019 350 citations Kai Shu, Suhang Wang et al. profile →
Understanding User Profiles on Social Media for Fake News Detection

2018 218 citations Kai Shu, Suhang Wang et al. profile →
Unsupervised Fake News Detection on Social Media: A Generative Approach

2019 197 citations Shuo Yang, Kai Shu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
User Preference-aware Fake News Detection

2021 152 citations Kai Shu, Philip S. Yu et al. profile →
Combating misinformation in the age of LLMs: Opportunities and challenges

2024 40 citations Canyu Chen, Kai Shu AI Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Shu United States	30	4.7k	3.7k	3.1k	1.1k	807	105	6.0k
Ponnurangam Kumaraguru India	31	2.4k 0.5×	3.3k 0.9×	1.8k 0.6×	1.2k 1.1×	498 0.6×	169	4.9k
Reza Zafarani United States	24	1.6k 0.3×	1.6k 0.4×	1.7k 0.6×	395 0.4×	831 1.0×	54	3.2k
Kalina Bontcheva United Kingdom	36	1.4k 0.3×	1.4k 0.4×	3.1k 1.0×	281 0.3×	608 0.8×	160	4.5k
Arkaitz Zubiaga United Kingdom	28	1.8k 0.4×	1.1k 0.3×	2.1k 0.7×	247 0.2×	731 0.9×	125	3.3k
Marcelo Mendoza Chile	16	2.1k 0.4×	1.3k 0.4×	1.4k 0.4×	206 0.2×	1.0k 1.3×	82	3.4k
Bárbara Poblete Chile	16	2.1k 0.5×	1.3k 0.3×	1.5k 0.5×	210 0.2×	1.1k 1.3×	63	3.3k
Maurizio Tesconi Italy	27	1.1k 0.2×	1.1k 0.3×	1.1k 0.4×	481 0.5×	347 0.4×	83	2.6k
Stefano Cresci Italy	27	1.3k 0.3×	1.1k 0.3×	849 0.3×	484 0.5×	376 0.5×	66	2.5k
Belle L. Tseng United States	30	943 0.2×	1.2k 0.3×	1.6k 0.5×	294 0.3×	2.1k 2.6×	69	4.5k
Huiji Gao United States	22	568 0.1×	1.5k 0.4×	1.3k 0.4×	315 0.3×	552 0.7×	51	3.2k

Countries citing papers authored by Kai Shu

Since Specialization

Citations

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

Fields of papers citing papers by Kai Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shu

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

20 of 20 papers shown

Shu, Kai, et al.. (2025). A “five rights separation” framework for data rights confirmation in data element circulation. Humanities and Social Sciences Communications. 12(1). 2 indexed citations

Shu, Kai, Hong‐Ming Hu, Zhenzhen Peng, et al.. (2025). Understanding the Charge Storage Mechanism of Nickel–Cobalt Sulfides/Selenides/Phosphides in an Alkaline Electrolyte: Pseudocapacitive or Battery-Type?. ACS Applied Energy Materials. 8(11). 7061–7071. 1 indexed citations

Chen, Canyu, et al.. (2025). SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. 3655–3665. 1 indexed citations

Shu, Kai, et al.. (2025). Measuring Sycophancy of Language Models in Multi-turn Dialogues. ArXiv.org. 2239–2259.

Li, Chenyang, Haorui Zhang, Kai Shu, & Tong Zheng. (2024). Simulation of moisture removal in microwave regeneration of carbon adsorbents: Comparing conventional heating and multiple microwave frequencies with economic implications. Chemical Engineering Journal. 503. 158629–158629. 6 indexed citations

Chen, Canyu & Kai Shu. (2024). Combating misinformation in the age of LLMs: Opportunities and challenges. AI Magazine. 45(3). 354–368. 40 indexed citations breakdown →

Shu, Kai, et al.. (2024). From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. 513–516. 3 indexed citations

Gao, Min, et al.. (2024). EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–25.

Shu, Kai, et al.. (2024). Effects of field releases of Neoseiulus barkeri on Megalurothrips usitatus abundance and arthropod diversity. Scientific Reports. 14(1). 14247–14247. 2 indexed citations

10.

Shu, Kai. (2023). Combating Disinformation on Social Media and Its Challenges: A Computational Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15454–15454. 1 indexed citations

11.

Hu, Hong‐Ming, Kai Shu, Tao Liu, et al.. (2023). Novel Fe₂O₃ microspheres composed of triangular star-shaped nanorods as an electrode for supercapacitors. Chemical Communications. 59(79). 11791–11794. 8 indexed citations

12.

Li, Yanhong, Zuo‐Feng Zhang, Kai Shu, et al.. (2023). Nickel hexacyanocobaltate quantum dots embedded in N-doped carbon for aqueous alkaline batteries with ultrahigh durability. Dalton Transactions. 52(31). 10708–10717. 1 indexed citations

13.

Shu, Kai, et al.. (2023). Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models. 6288–6304. 9 indexed citations

14.

Zhang, Wen, B. Blair Braden, Kai Shu, et al.. (2021). Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics. 20(2). 301–316. 3 indexed citations

15.

Zhao, Qun, Yuelong Zhu, Kai Shu, et al.. (2020). Joint Spatial and Temporal Modeling for Hydrological Prediction. IEEE Access. 8. 78492–78503. 18 indexed citations

16.

Shu, Kai, et al.. (2020). Incorporating User-Comment Graph for Fake News Detection.. arXiv (Cornell University). 3 indexed citations

17.

Yang, Shuo, et al.. (2019). Unsupervised Fake News Detection on Social Media: A Generative Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5644–5651. 197 indexed citations breakdown →

18.

Zhang, Wen, Kai Shu, Suhang Wang, Huan Liu, & Yalin Wang. (2018). Multimodal Fusion of Brain Networks with Longitudinal Couplings. Lecture notes in computer science. 11072. 3–11. 6 indexed citations

19.

Shu, Kai, Suhang Wang, & Huan Liu. (2017). Exploiting Tri-Relationship for Fake News Detection.. arXiv (Cornell University). 68 indexed citations

20.

Jian, Ling, Jundong Li, Kai Shu, & Huan Liu. (2016). Multi-label informed feature selection. International Joint Conference on Artificial Intelligence. 1627–1633. 85 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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