Zhuoran Lu

487 total citations
21 papers, 264 citations indexed

About

Zhuoran Lu is a scholar working on Artificial Intelligence, Safety Research and Social Psychology. According to data from OpenAlex, Zhuoran Lu has authored 21 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Safety Research and 4 papers in Social Psychology. Recurrent topics in Zhuoran Lu's work include Ethics and Social Impacts of AI (6 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Topic Modeling (4 papers). Zhuoran Lu is often cited by papers focused on Ethics and Social Impacts of AI (6 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Topic Modeling (4 papers). Zhuoran Lu collaborates with scholars based in United States, China and Malaysia. Zhuoran Lu's co-authors include Ming Yin, Zhuoyan Li, C. Chiang, Patrick Li, Dakuo Wang, Ming Yin, Sheshera Mysore, Longqi Yang, Jennifer Neville and Mengting Wan and has published in prestigious journals such as Frontiers in Psychology, International Journal of Human-Computer Interaction and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Zhuoran Lu

16 papers receiving 262 citations

Peers

Zhuoran Lu
Xinru Wang United States
Agathe Balayn Netherlands
Samir Passi United States
Eleonora Viganò Switzerland
Nan‐Chen Chen United States
Alice Xiang United States
Faisal Ladhak United States
Eric S. Vorm United States
Xinru Wang United States
Zhuoran Lu
Citations per year, relative to Zhuoran Lu Zhuoran Lu (= 1×) peers Xinru Wang

Countries citing papers authored by Zhuoran Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuoran Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoran Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoran Lu. A scholar is included among the top collaborators of Zhuoran Lu 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 Zhuoran Lu. Zhuoran Lu 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
5.
Lu, Zhuoran, Ying Yang, Mei Liu, et al.. (2024). The effectiveness of digital leadership in promoting organisational sustainability: A mediating role of digital leadership capability. Journal of Infrastructure Policy and Development. 8(15). 9550–9550. 1 indexed citations
6.
Chiang, C., et al.. (2024). Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate. 103–119. 24 indexed citations
7.
Lu, Zhuoran, Dakuo Wang, & Ming Yin. (2024). Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–31. 10 indexed citations
9.
Li, Zhuoyan, Zhuoran Lu, & Ming Yin. (2024). Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10083–10091. 3 indexed citations
10.
Mysore, Sheshera, Zhuoran Lu, Mengting Wan, et al.. (2024). Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. 198–219. 1 indexed citations
11.
Lu, Zhuoran, et al.. (2024). AI Pilot in the Cockpit: An Investigation of Public Acceptance. International Journal of Human-Computer Interaction. 41(1). 543–556. 1 indexed citations
12.
Lu, Zhuoran, et al.. (2024). Mix and Match: Characterizing Heterogeneous Human Behavior in AI-assisted Decision Making. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 12. 95–104. 1 indexed citations
13.
15.
Lu, Zhuoran, et al.. (2023). Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. 3020–3028. 6 indexed citations
16.
Li, Zhuoyan, Zhuoran Lu, & Ming Yin. (2023). Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6056–6064. 9 indexed citations
17.
Lu, Zhuoran, et al.. (2022). The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–27. 32 indexed citations
18.
Lu, Zhuoran, et al.. (2022). Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making. Proceedings of the ACM Web Conference 2022. 1697–1708. 27 indexed citations
19.
Li, Zhuoyan, Zhuoran Lu, & Ming Yin. (2022). Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations. 411–423. 4 indexed citations
20.

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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