Seoyoung Ahn

413 total citations
15 papers, 199 citations indexed

About

Seoyoung Ahn is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Seoyoung Ahn has authored 15 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Seoyoung Ahn's work include Gaze Tracking and Assistive Technology (9 papers), Visual Attention and Saliency Detection (8 papers) and EEG and Brain-Computer Interfaces (3 papers). Seoyoung Ahn is often cited by papers focused on Gaze Tracking and Assistive Technology (9 papers), Visual Attention and Saliency Detection (8 papers) and EEG and Brain-Computer Interfaces (3 papers). Seoyoung Ahn collaborates with scholars based in United States, Germany and Switzerland. Seoyoung Ahn's co-authors include Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai, Zhibo Yang, Zijun Wei, Aruna Balasubramanian, Lihan Huang, Zhibo Yang, Samir R. Das and Gary Lupyan and has published in prestigious journals such as Scientific Reports, PLoS Computational Biology and IEEE Transactions on Multimedia.

In The Last Decade

Seoyoung Ahn

14 papers receiving 199 citations

Peers

Countries citing papers authored by Seoyoung Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Seoyoung Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seoyoung Ahn

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	The attentive reconstruction of objects facilitates robust object recognition 2024 ·PLoS Computational Biology ·Seoyoung Ahn, (unknown), (unknown)	0
2	Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers 2024 ·Zhibo Yang, (unknown), Seoyoung Ahn, (unknown), Gregory J. Zelinsky, (unknown), Dimitris Samaras	3
3	A brain-inspired object-based attention network for multiobject recognition and visual reasoning 2023 ·Journal of Vision ·(unknown), Seoyoung Ahn, Gregory J. Zelinsky	5
4	SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks 2023 ·Zurich Open Repository and Archive (University of Zurich) ·Paul Prasse, (unknown), (unknown), Seoyoung Ahn, Tobias Scheffer, Lena A. Jäger	8
5	Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention 2023 ·(unknown), Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai	12
6	Self-supervised transformers predict dynamics of object-based attention in humans 2023 ·(unknown), Seoyoung Ahn, Nikolaus Kriegeskorte, Gregory J. Zelinsky	1
7	Target-Absent Human Attention 2022 ·Lecture notes in computer science ·Zhibo Yang, (unknown), Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras	9
8	Characterizing Target-absent Human Attention 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ·(unknown), Zhibo Yang, (unknown), (unknown), Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory J. Zelinsky	5
9	Predicting Visual Attention in Graphic Design Documents 2022 ·IEEE Transactions on Multimedia ·(unknown), Zijun Wei, (unknown), Seoyoung Ahn, Aruna Balasubramanian, Gregory J. Zelinsky, Dimitris Samaras	7
10	COCO-Search18 fixation dataset for predicting goal-directed attention control 2021 ·Scientific Reports ·(unknown), Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory J. Zelinsky	17
11	Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks 2021 ·Journal of Vision ·Seoyoung Ahn, Gregory J. Zelinsky, Gary Lupyan	5
12	Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning 2020 ·PubMed ·Zhibo Yang, Lihan Huang, (unknown), Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai	58
13	Towards Predicting Reading Comprehension From Gaze Behavior 2020 ·Seoyoung Ahn, (unknown), Aruna Balasubramanian, (unknown)	26
14	Benchmarking Gaze Prediction for Categorical Visual Search 2019 ·Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, (unknown), Seoyoung Ahn, Zijun Wei, (unknown), Dimitris Samaras, Minh Hoai	27
15	Reading detection in real-time 2019 ·(unknown), Zijun Wei, Seoyoung Ahn, Aruna Balasubramanian, Samir R. Das, Dimitris Samaras, Gregory J. Zelinsky	16

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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