Eunsuk Chong

828 total citations · 1 hit paper
5 papers, 535 citations indexed

About

Eunsuk Chong is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Eunsuk Chong has authored 5 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Control and Systems Engineering and 2 papers in Biomedical Engineering. Recurrent topics in Eunsuk Chong's work include Human Pose and Action Recognition (3 papers), Robot Manipulation and Learning (2 papers) and Muscle activation and electromyography studies (1 paper). Eunsuk Chong is often cited by papers focused on Human Pose and Action Recognition (3 papers), Robot Manipulation and Learning (2 papers) and Muscle activation and electromyography studies (1 paper). Eunsuk Chong collaborates with scholars based in South Korea, United States and United Kingdom. Eunsuk Chong's co-authors include Frank C. Park, Chulwoo Han, Hyungmin Kim, Jong Min Lee, Seung‐Jong Kim and Veronica J. Santos and has published in prestigious journals such as Expert Systems with Applications, The International Journal of Robotics Research and IEEE Robotics and Automation Letters.

In The Last Decade

Eunsuk Chong

5 papers receiving 518 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies

2017 517 citations Eunsuk Chong, Chulwoo Han et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eunsuk Chong South Korea	3	439	190	177	155	75	5	535
Akhter Mohiuddin Rather India	6	335 0.8×	173 0.9×	131 0.7×	103 0.7×	101 1.3×	11	447
Chulwoo Han United Kingdom	8	460 1.0×	191 1.0×	236 1.3×	249 1.6×	76 1.0×	28	644
Suryoday Basak United States	5	212 0.5×	96 0.5×	96 0.5×	85 0.5×	38 0.5×	6	296
Xiongwen Pang China	6	260 0.6×	125 0.7×	78 0.4×	65 0.4×	76 1.0×	7	369
Yingjun Chen China	4	235 0.5×	92 0.5×	104 0.6×	72 0.5×	64 0.9×	8	335
Dev Shah Canada	4	341 0.8×	135 0.7×	113 0.6×	102 0.7×	75 1.0×	4	416
Mhamed Hamiche Morocco	4	241 0.5×	135 0.7×	63 0.4×	56 0.4×	49 0.7×	10	345
Luckyson Khaidem United States	3	210 0.5×	85 0.4×	97 0.5×	85 0.5×	29 0.4×	4	266
Shivam Agarwal India	7	195 0.4×	81 0.4×	78 0.4×	61 0.4×	90 1.2×	10	274

Countries citing papers authored by Eunsuk Chong

Since Specialization

Citations

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

Fields of papers citing papers by Eunsuk Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunsuk Chong

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

All Works

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5 of 5 papers shown

1.

Chong, Eunsuk, et al.. (2020). A learning-based harmonic mapping: Framework, assessment, and case study of human-to-robot hand pose mapping. The International Journal of Robotics Research. 40(2-3). 534–557. 1 indexed citations

2.

Chong, Eunsuk, et al.. (2019). A Generative Neural Network for Learning Coordinated Reach-Grasp Motions. IEEE Robotics and Automation Letters. 4(3). 2769–2776. 1 indexed citations

3.

Chong, Eunsuk, et al.. (2017). Informative sensor selection and learning for prediction of lower limb kinematics using generative stochastic neural networks. PubMed. 13. 2043–2046. 2 indexed citations

4.

Chong, Eunsuk, Chulwoo Han, & Frank C. Park. (2017). Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies. Expert Systems with Applications. 83. 187–205. 517 indexed citations breakdown →

5.

Chong, Eunsuk, et al.. (2016). Movement prediction for a lower limb exoskeleton using a conditional restricted Boltzmann machine. Robotica. 35(11). 2177–2200. 14 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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