Hongmi Lee

1.8k total citations
15 papers, 372 citations indexed

About

Hongmi Lee is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Hongmi Lee has authored 15 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Hongmi Lee's work include Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (7 papers) and Memory Processes and Influences (5 papers). Hongmi Lee is often cited by papers focused on Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (7 papers) and Memory Processes and Influences (5 papers). Hongmi Lee collaborates with scholars based in United States, Netherlands and United Kingdom. Hongmi Lee's co-authors include Brice A. Kuhl, Janice Chen, Serra E. Favila, Nicole M. Long, Buddhika Bellana, Franziska R. Richter, Marvin M. Chun, Uri Hasson, Kyungmi Kim and Do-Joon Yi and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Hongmi Lee

14 papers receiving 370 citations

Peers

Hongmi Lee
Vishnu Sreekumar United States
Andrew C. Heusser United States
Ken Norman United States
Oded Bein United States
Christopher D. Moore United States
Sam C. Berens United Kingdom
Tristan S. Yates United States
Tessa Rusch Germany
Michael Craig United Kingdom
Roni Tibon United Kingdom
Vishnu Sreekumar United States
Hongmi Lee
Citations per year, relative to Hongmi Lee Hongmi Lee (= 1×) peers Vishnu Sreekumar

Countries citing papers authored by Hongmi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hongmi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongmi Lee

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

All Works

15 of 15 papers shown
1.
Li, Xian, et al.. (2025). Neural dynamics of spontaneous memory recall and future thinking in the continuous flow of thoughts. Nature Communications. 16(1). 6433–6433.
2.
Masson, Haemy Lee, et al.. (2023). Word-timestamped transcripts of two spoken narrative recall functional neuroimaging datasets. Data in Brief. 50. 109490–109490. 3 indexed citations
3.
Wang, Yingying, Hongmi Lee, & Brice A. Kuhl. (2023). Mapping multidimensional content representations to neural and behavioral expressions of episodic memory. NeuroImage. 277. 120222–120222. 4 indexed citations
4.
Lee, Hongmi, et al.. (2023). Adding Meaning to Memories: How Parietal Cortex Combines Semantic Content with Episodic Experience. Journal of Neuroscience. 43(38). 6525–6537. 7 indexed citations
5.
Lee, Hongmi, Janice Chen, & Uri Hasson. (2022). A functional neuroimaging dataset acquired during naturalistic movie watching and narrated recall of a series of short cinematic films. Data in Brief. 46. 108788–108788. 5 indexed citations
7.
Lee, Hongmi & Janice Chen. (2022). Predicting memory from the network structure of naturalistic events. Nature Communications. 13(1). 4235–4235. 49 indexed citations
8.
Lee, Hongmi, Buddhika Bellana, & Janice Chen. (2020). What can narratives tell us about the neural bases of human memory?. Current Opinion in Behavioral Sciences. 32. 111–119. 39 indexed citations
9.
Favila, Serra E., Hongmi Lee, & Brice A. Kuhl. (2020). Transforming the Concept of Memory Reactivation. Trends in Neurosciences. 43(12). 939–950. 62 indexed citations
10.
Lee, Hongmi, Kyungmi Kim, & Do-Joon Yi. (2019). Preexperimental stimulus familiarity modulates the effects of item repetition on source memory.. Journal of Experimental Psychology Learning Memory and Cognition. 46(3). 539–548. 5 indexed citations
11.
Lee, Hongmi & Janice Chen. (2019). Narratives as Networks: Predicting Memory from the Structure of Naturalistic Events. 2 indexed citations
12.
Lee, Hongmi, et al.. (2018). Decomposing Parietal Memory Reactivation to Predict Consequences of Remembering. Cerebral Cortex. 29(8). 3305–3318. 42 indexed citations
13.
Lee, Hongmi, Marvin M. Chun, & Brice A. Kuhl. (2016). Lower Parietal Encoding Activation Is Associated with Sharper Information and Better Memory. Cerebral Cortex. 27(4). bhw097–bhw097. 29 indexed citations
14.
Long, Nicole M., Hongmi Lee, & Brice A. Kuhl. (2016). Hippocampal Mismatch Signals Are Modulated by the Strength of Neural Predictions and Their Similarity to Outcomes. Journal of Neuroscience. 36(50). 12677–12687. 51 indexed citations
15.
Lee, Hongmi & Brice A. Kuhl. (2016). Reconstructing Perceived and Retrieved Faces from Activity Patterns in Lateral Parietal Cortex. Journal of Neuroscience. 36(22). 6069–6082. 59 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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