Mina Lee

691 total citations · 1 hit paper
11 papers, 261 citations indexed

About

Mina Lee is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Mina Lee has authored 11 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Social Psychology. Recurrent topics in Mina Lee's work include Topic Modeling (5 papers), Software Engineering Research (3 papers) and Machine Learning and Algorithms (2 papers). Mina Lee is often cited by papers focused on Topic Modeling (5 papers), Software Engineering Research (3 papers) and Machine Learning and Algorithms (2 papers). Mina Lee collaborates with scholars based in United States, South Korea and United Kingdom. Mina Lee's co-authors include Percy Liang, Qian Yang, Hakjoo Oh, Motahhare Eslami, Robin Jia, Q. Vera Liao, Chris Donahue, Michelle S. Lam, Ziang Xiao and Juho Kim and has published in prestigious journals such as Computers & Education, ACM SIGPLAN Notices and Nature Human Behaviour.

In The Last Decade

Mina Lee

9 papers receiving 257 citations

Hit Papers

CoAuthor: Designing a Human-AI Collaborative Writing Data... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mina Lee United States 7 167 46 28 27 27 11 261
Savvas Petridis United States 8 130 0.8× 52 1.1× 43 1.5× 39 1.4× 20 0.7× 16 260
Ángel Alexander Cabrera United States 7 94 0.6× 25 0.5× 16 0.6× 39 1.4× 68 2.5× 8 174
Jaimie Drozdal United States 6 104 0.6× 49 1.1× 28 1.0× 29 1.1× 12 0.4× 7 220
Danula Hettiachchi Australia 10 109 0.7× 26 0.6× 36 1.3× 20 0.7× 37 1.4× 28 273
Seolhwa Lee South Korea 8 119 0.7× 72 1.6× 33 1.2× 35 1.3× 8 0.3× 23 306
Jinhan Choi South Korea 6 84 0.5× 20 0.4× 65 2.3× 49 1.8× 33 1.2× 9 239
Rachael Tatman United States 6 181 1.1× 18 0.4× 15 0.5× 15 0.6× 32 1.2× 14 297
Martijn Millecamp Belgium 10 163 1.0× 111 2.4× 13 0.5× 51 1.9× 51 1.9× 17 347
Kyle McDonell United Kingdom 2 247 1.5× 54 1.2× 6 0.2× 39 1.4× 16 0.6× 2 391
Laria Reynolds United States 3 247 1.5× 54 1.2× 6 0.2× 39 1.4× 16 0.6× 3 394

Countries citing papers authored by Mina Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mina Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Lee

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

All Works

11 of 11 papers shown
1.
Tankelevitch, Lev, Elena L. Glassman, Majeed Kazemitabaar, et al.. (2025). Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI. 1–8. 2 indexed citations
2.
Lee, Mina, Jake M. Hofman, Sylvia Vitello, et al.. (2025). Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools. Computers & Education. 243. 105514–105514.
3.
Collins, Katherine M., Ilia Sucholutsky, Umang Bhatt, et al.. (2024). Building machines that learn and think with people. Nature Human Behaviour. 8(10). 1851–1863. 11 indexed citations
5.
Xiao, Ziang, Michelle S. Lam, Motahhare Eslami, et al.. (2024). Human-Centered Evaluation and Auditing of Language Models. 1–6. 11 indexed citations
6.
Kulkarni, Chinmay, Tongshuang Wu, Kenneth Holstein, et al.. (2023). LLMs and the Infrastructure of CSCW. 408–410. 1 indexed citations
7.
Chang, Minsuk, John Joon Young Chung, Katy Ilonka Gero, et al.. (2023). The Second Workshop on Intelligent and Interactive Writing Assistants. 1–5. 7 indexed citations
8.
Lee, Mina, Percy Liang, & Qian Yang. (2022). CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities. CHI Conference on Human Factors in Computing Systems. 1–19. 184 indexed citations breakdown →
9.
Lee, Mina, et al.. (2021). Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. 4362–4379. 8 indexed citations
10.
Lee, Mina, et al.. (2016). Synthesizing regular expressions from examples for introductory automata assignments. ACM SIGPLAN Notices. 52(3). 70–80. 8 indexed citations
11.
Lee, Mina, et al.. (2016). Synthesizing regular expressions from examples for introductory automata assignments. 70–80. 29 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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