Joong-Hwan Baek

633 total citations
32 papers, 418 citations indexed

About

Joong-Hwan Baek is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Joong-Hwan Baek has authored 32 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Joong-Hwan Baek's work include Advanced Image and Video Retrieval Techniques (7 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (5 papers). Joong-Hwan Baek is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (5 papers). Joong-Hwan Baek collaborates with scholars based in South Korea, Bangladesh and United States. Joong-Hwan Baek's co-authors include Pamela C. Cosman, William R Schafer, Zhaoyang Feng, Jay Silver, Charles C. Berry, Wei Geng, Hyun Myung, Sung Jun Park, Byungkyu Kim and Wonkeun Youn and has published in prestigious journals such as Genetics, IEEE Access and Sensors.

In The Last Decade

Joong-Hwan Baek

28 papers receiving 398 citations

Peers

Joong-Hwan Baek

CVPR

AGING

EAS

PHYSI

Zi Wang China

Forest Agostinelli United States

Songpengcheng Xia China

Mariella Dimiccoli Spain

Kofi Appiah United Kingdom

Petteri Teikari France

Parvez Ahammad United States

Shiwei Ye China

Aixuan Li China

Zi Wang China

Joong-Hwan Baek

154 ×0.8

CVPR

100 ×0.7

AGING

115 ×1.8

24 ×0.4

EAS

25 ×0.5

PHYSI

Citations per year, relative to Joong-Hwan Baek Joong-Hwan Baek (= 1×) peers Zi Wang

Countries citing papers authored by Joong-Hwan Baek

Since Specialization

Citations

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

Fields of papers citing papers by Joong-Hwan Baek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joong-Hwan Baek. 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 Joong-Hwan Baek. The network helps show where Joong-Hwan Baek may publish in the future.

Co-authorship network of co-authors of Joong-Hwan Baek

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Baek, Joong-Hwan, et al.. (2023). Dynamic Edge Convolutional Neural Network for Skeleton-Based Human Action Recognition. Sensors. 23(2). 778–778. 17 indexed citations

Baek, Joong-Hwan, et al.. (2022). A fast and efficient algorithm for DNA sequence similarity identification. Complex & Intelligent Systems. 9(2). 1265–1280. 4 indexed citations

Park, Sung Jun, et al.. (2022). Self-Supervised Monocular Depth Estimation Using Hybrid Transformer Encoder. IEEE Sensors Journal. 22(19). 18762–18770. 18 indexed citations

Park, Sung-Jun, et al.. (2021). Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network. Sensors. 21(8). 2691–2691. 17 indexed citations

Baek, Joong-Hwan, et al.. (2021). Deep Learning Based Real Age and Gender Estimation from Unconstrained Face Image towards Smart Store Customer Relationship Management. Applied Sciences. 11(10). 4549–4549. 9 indexed citations

Baek, Joong-Hwan, et al.. (2020). Human Gender Classification Using Transfer Learning via Pareto Frontier CNN Networks. Inventions. 5(2). 16–16. 25 indexed citations

Baek, Joong-Hwan, et al.. (2020). Deep Learning-Based Action Recognition Using 3D Skeleton Joints Information. Inventions. 5(3). 49–49. 18 indexed citations

Baek, Joong-Hwan, et al.. (2019). Rheotaxis Based High-Throughput Motile Sperm Sorting Device. International Journal of Precision Engineering and Manufacturing. 20(6). 1037–1045. 7 indexed citations

Baek, Joong-Hwan, et al.. (2015). Object Cataloging Using Heterogeneous Local Features for Image Retrieval. KSII Transactions on Internet and Information Systems. 9(11). 1 indexed citations

10.

Baek, Joong-Hwan, et al.. (2015). On-line Signature Recognition Using Statistical Feature Based Artificial Neural Network. The Journal of the Korean Institute of Information and Communication Engineering. 19(1). 106–112. 2 indexed citations

11.

Tu, Peter, et al.. (2012). A systems level approach to perimeter protection. 257–262.

12.

Baek, Joong-Hwan, et al.. (2011). Object classification based on visual and extended features for video surveillance application. Asian Control Conference. 1398–1401. 8 indexed citations

13.

Baek, Joong-Hwan, et al.. (2010). Realtime Markerless 3D Object Tracking for Augmented Reality. The Journal of Advanced Navigation Technology. 14(2). 272–277. 1 indexed citations

14.

Park, Young-Hyun, Hyung‐Jin Lee, & Joong-Hwan Baek. (2010). The Character Recognition System of Mobile Camera Based Image. Journal of the Korea Academia-Industrial cooperation Society. 11(5). 1677–1684. 3 indexed citations

15.

Baek, Joong-Hwan, et al.. (2009). Toward automatic behavioral screen: A computational model for analyzing caenorhabditis elegans locomotion. PubMed. 2009. 4937–4940. 1 indexed citations

16.

Geng, Wei, Pamela C. Cosman, Joong-Hwan Baek, Charles C. Berry, & William R Schafer. (2003). Quantitative Classification and Natural Clustering of C. elegans Behavioral Phenotypes. eScholarship (California Digital Library). 12 indexed citations

17.

Geng, Wei, Pamela C. Cosman, Joong-Hwan Baek, Charles C. Berry, & William R Schafer. (2003). Image Features and Natural Clustering of Worm Body Shapes and Motion.. 342–347. 3 indexed citations

18.

Hong, Seungbum, et al.. (2003). Shot Change Detection Using Multiple Features and Classification and Regression Tree (CART).. 122–128. 1 indexed citations

19.

Baek, Joong-Hwan, Pamela C. Cosman, Zhaoyang Feng, Jay Silver, & William R Schafer. (2002). Using machine vision to analyze and classify Caenorhabditis elegans behavioral phenotypes quantitatively. Journal of Neuroscience Methods. 118(1). 9–21. 98 indexed citations

20.

Baek, Joong-Hwan, et al.. (2000). Implementation and Evaluation of Flight Tasks in Instrument Flight Simulator. The Journal of Advanced Navigation Technology. 4(1). 11–22. 1 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.

Explore authors with similar magnitude of impact