Jong‐Uk Hou

473 total citations
37 papers, 286 citations indexed

About

Jong‐Uk Hou is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biophysics. According to data from OpenAlex, Jong‐Uk Hou has authored 37 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 4 papers in Biophysics. Recurrent topics in Jong‐Uk Hou's work include Digital Media Forensic Detection (20 papers), Advanced Steganography and Watermarking Techniques (16 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Jong‐Uk Hou is often cited by papers focused on Digital Media Forensic Detection (20 papers), Advanced Steganography and Watermarking Techniques (16 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Jong‐Uk Hou collaborates with scholars based in South Korea, Singapore and Nigeria. Jong‐Uk Hou's co-authors include Heung-Kyu Lee, Sunghee Choi, Dongkyu Kim, Seung-Min Mun, Seung-Hun Nam, Haneol Jang, Jin-Seok Park, In-Jae Yu, Se Woo Park and Jong-Ho Kim and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jong‐Uk Hou

33 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong‐Uk Hou South Korea 9 222 38 37 27 27 37 286
Peter Schallauer Austria 7 195 0.9× 9 0.2× 47 1.3× 15 0.6× 27 1.0× 28 250
Jing Yu Koh United States 8 257 1.2× 39 1.0× 13 0.4× 8 0.3× 83 3.1× 9 320
Chris Tensmeyer United States 7 205 0.9× 18 0.5× 13 0.4× 6 0.2× 56 2.1× 13 256
V. Fotopoulos Greece 10 205 0.9× 6 0.2× 31 0.8× 17 0.6× 13 0.5× 41 296
Beomsu Kim South Korea 7 241 1.1× 3 0.1× 89 2.4× 11 0.4× 233 8.6× 14 453
Zihang Lai United Kingdom 5 307 1.4× 11 0.3× 8 0.2× 4 0.1× 124 4.6× 10 372
Hussain Nyeem Australia 12 408 1.8× 4 0.1× 30 0.8× 14 0.5× 31 1.1× 53 470
Canghong Shi China 9 164 0.7× 8 0.2× 34 0.9× 12 0.4× 56 2.1× 39 246
Maxim Makhinya Switzerland 10 202 0.9× 185 4.9× 16 0.4× 4 0.1× 12 0.4× 14 315
Aron Yu United States 3 213 1.0× 16 0.4× 12 0.3× 8 0.3× 115 4.3× 4 267

Countries citing papers authored by Jong‐Uk Hou

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Uk Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Uk Hou. 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 Jong‐Uk Hou. The network helps show where Jong‐Uk Hou may publish in the future.

Co-authorship network of co-authors of Jong‐Uk Hou

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

All Works

20 of 20 papers shown
1.
Park, Se Woo, Hyeong‐Gon Moon, Seok Jin Hong, et al.. (2025). Enhancing biliary tract cancer diagnosis using AI-driven 3D optical diffraction tomography. Methods. 241. 196–203. 1 indexed citations
2.
Kim, Chul‐Ho, et al.. (2024). Comparative efficacy of anteroposterior and lateral X-ray based deep learning in the detection of osteoporotic vertebral compression fracture. Scientific Reports. 14(1). 28388–28388. 2 indexed citations
3.
4.
Kim, Minsung, Byung Il Kwak, Jong‐Uk Hou, & Taewoon Kim. (2024). Robust Long-Term Vehicle Trajectory Prediction Using Link Projection and a Situation-Aware Transformer. Sensors. 24(8). 2398–2398. 3 indexed citations
5.
Kim, Joon Sung, et al.. (2024). Comparison of Risk‐Scoring Models to Predict Gastrointestinal Bleeding in Patients With Direct Oral Anticoagulants. Journal of Gastroenterology and Hepatology. 40(3). 618–625.
6.
Lee, Choung Ah, et al.. (2023). Harnessing optical flow in deep learning framework for cardiopulmonary resuscitation training. Expert Systems with Applications. 238. 121775–121775. 3 indexed citations
7.
Hou, Jong‐Uk, et al.. (2023). Source Identification of 3D Printer Based on Layered Texture Encoders. IEEE Transactions on Multimedia. 25. 8240–8252. 6 indexed citations
8.
Hou, Jong‐Uk, et al.. (2023). Improving Estimation of Layer Thickness and Identification of Slicer for 3D Printing Forensics. Sensors. 23(19). 8250–8250. 4 indexed citations
9.
Kim, Soontae, et al.. (2021). An L2 Cache Architecture Supporting Bypassing for Low Energy and High Performance. Electronics. 10(11). 1328–1328.
10.
Hou, Jong‐Uk, et al.. (2021). Efficacy of an artificial neural network algorithm based on thick‐slab magnetic resonance cholangiopancreatography images for the automated diagnosis of common bile duct stones. Journal of Gastroenterology and Hepatology. 36(12). 3532–3540. 5 indexed citations
11.
Mun, Seung-Min, et al.. (2020). Convolutional Neural Network Architecture for Recovering Watermark Synchronization. Sensors. 20(18). 5427–5427. 8 indexed citations
12.
Hou, Jong‐Uk, et al.. (2020). Robust Spherical Panorama Image Watermarking Against Viewpoint Desynchronization. IEEE Access. 8. 127477–127490. 5 indexed citations
13.
Jang, Haneol & Jong‐Uk Hou. (2020). Exposing Digital Image Forgeries by Detecting Contextual Abnormality Using Convolutional Neural Networks. Sensors. 20(8). 2262–2262. 1 indexed citations
14.
Fan, Kui, Ronggang Wang, Weisi Lin, et al.. (2019). Separable KLT for Intra Coding in Versatile Video Coding (VVC). 571–571. 1 indexed citations
15.
Hou, Jong‐Uk, et al.. (2018). Layer thickness estimation of 3D printed model for digital multimedia forensics. Electronics Letters. 55(2). 86–88. 6 indexed citations
16.
Hou, Jong‐Uk, et al.. (2018). Copyright Protections of Digital Content in the Age of 3D Printer: Emerging Issues and Survey. IEEE Access. 6. 44082–44093. 19 indexed citations
17.
Hou, Jong‐Uk, et al.. (2017). Blind 3D Mesh Watermarking for 3D Printed Model by Analyzing Layering Artifact. IEEE Transactions on Information Forensics and Security. 12(11). 2712–2725. 51 indexed citations
18.
Park, Jin-Seok, et al.. (2016). Detecting digital image forgery in near-infrared image of CCTV. Multimedia Tools and Applications. 76(14). 15817–15838. 2 indexed citations
19.
Hou, Jong‐Uk & Heung-Kyu Lee. (2016). Detection of Hue Modification Using Photo Response Nonuniformity. IEEE Transactions on Circuits and Systems for Video Technology. 27(8). 1826–1832. 20 indexed citations
20.
Hou, Jong‐Uk, et al.. (2014). Fast Watermark Synchronization Based on Complementary Templates. Journal of Computer and Communications. 2(4). 58–65. 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.

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