Juyeon Heo

467 total citations
7 papers, 226 citations indexed

About

Juyeon Heo is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Juyeon Heo has authored 7 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Juyeon Heo's work include Creativity in Education and Neuroscience (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Visual and Cognitive Learning Processes (1 paper). Juyeon Heo is often cited by papers focused on Creativity in Education and Neuroscience (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Visual and Cognitive Learning Processes (1 paper). Juyeon Heo collaborates with scholars based in South Korea, United States and United Kingdom. Juyeon Heo's co-authors include Taesup Moon, Xuefei Hu, Yang Liu, Sungwoo Lee, Choong‐Wan Woo, Tor D. Wager, Sungmin Cha, Sunghwan Joo, Chobok Kim and Adrian Weller and has published in prestigious journals such as Scientific Reports, Nature Protocols and Environmental Pollution.

In The Last Decade

Juyeon Heo

7 papers receiving 222 citations

Peers

Countries citing papers authored by Juyeon Heo

Since Specialization

Citations

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

Fields of papers citing papers by Juyeon Heo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juyeon Heo

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	The role of the prefrontal cortex in semantic control for selecting weakly associated meanings in creative idea generation 2023 ·Neuroscience Letters ·Juyeon Heo, (unknown), (unknown), Chobok Kim	4
2	Towards More Robust Interpretation via Local Gradient Alignment 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Sunghwan Joo, (unknown), Juyeon Heo, Adrian Weller, Taesup Moon	3
3	The role of the right prefrontal cortex in the retrieval of weak representations 2022 ·Scientific Reports ·(unknown), Juyeon Heo, (unknown), Chobok Kim	5
4	Toward a unified framework for interpreting machine-learning models in neuroimaging 2020 ·Nature Protocols ·(unknown), Juyeon Heo, Sungmin Cha, Sungwoo Lee, Taesup Moon, Tor D. Wager, Choong‐Wan Woo	102
5	Development and Validation of Figure-Copy Test for Dementia Screening 2020 ·Chobok Kim, Juyeon Heo, (unknown), (unknown), Jungkyu Park, Changhwan Shin	1
6	Fooling Neural Network Interpretations via Adversarial Model Manipulation 2019 ·arXiv (Cornell University) ·Juyeon Heo, Sunghwan Joo, Taesup Moon	11
7	Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks 2019 ·Environmental Pollution ·(unknown), (unknown), Juyeon Heo, Xuefei Hu, Yang Liu, Taesup Moon	100

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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