Jung-Woo Chang

626 total citations
23 papers, 427 citations indexed

About

Jung-Woo Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Jung-Woo Chang has authored 23 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Jung-Woo Chang's work include Advanced Image Processing Techniques (7 papers), Advanced Vision and Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Jung-Woo Chang is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Advanced Vision and Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Jung-Woo Chang collaborates with scholars based in South Korea, United States and Hong Kong. Jung-Woo Chang's co-authors include Suk‐Ju Kang, Wenping Wang, Myung-Soo Kim, Yi‐King Choi, Gershon Elber, Myungsoo Kim, Ja-Yeon Jeong, Kyunga Kim, Young‐Taek Oh and Kyong Joon Lee and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Visualization and Computer Graphics and IEEE Sensors Journal.

In The Last Decade

Jung-Woo Chang

22 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung-Woo Chang South Korea 12 276 70 65 55 46 23 427
Yuanpeng Liu China 12 126 0.5× 91 1.3× 44 0.7× 27 0.5× 16 0.3× 31 311
Yasuyo Kita Japan 14 280 1.0× 96 1.4× 119 1.8× 21 0.4× 77 1.7× 58 510
Paulo R. S. Mendonça United States 16 692 2.5× 200 2.9× 95 1.5× 96 1.7× 299 6.5× 44 1.2k
M. Alper Selver Türkiye 12 232 0.8× 15 0.2× 11 0.2× 31 0.6× 61 1.3× 64 479
Klaus Hartmann Germany 13 212 0.8× 80 1.1× 55 0.8× 58 1.1× 80 1.7× 50 505
Yanhu Shan China 10 438 1.6× 72 1.0× 29 0.4× 73 1.3× 43 0.9× 23 645
Ju Jia Zou Australia 15 375 1.4× 46 0.7× 37 0.6× 56 1.0× 31 0.7× 52 693
K. S. Venkatesh India 11 319 1.2× 73 1.0× 59 0.9× 23 0.4× 29 0.6× 84 398
El Mustapha Mouaddib France 13 542 2.0× 200 2.9× 37 0.6× 32 0.6× 46 1.0× 45 698
Cregg Cowan United States 11 248 0.9× 161 2.3× 33 0.5× 21 0.4× 58 1.3× 20 423

Countries citing papers authored by Jung-Woo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Woo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Woo Chang. 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 Jung-Woo Chang. The network helps show where Jung-Woo Chang may publish in the future.

Co-authorship network of co-authors of Jung-Woo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Woo Chang. A scholar is included among the top collaborators of Jung-Woo Chang 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 Jung-Woo Chang. Jung-Woo Chang 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
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Chang, Jung-Woo, Mojan Javaheripi, & Farinaz Koushanfar. (2023). VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. 1–6. 1 indexed citations
4.
Chang, Jung-Woo, et al.. (2022). TouchNAS: Efficient Touch Detection Model Design Methodology for Resource-Constrained Devices. IEEE Sensors Journal. 22(7). 6784–6792. 4 indexed citations
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Chang, Jung-Woo, et al.. (2020). An Efficient Accelerator Design Methodology For Deformable Convolutional Networks. 3075–3079. 12 indexed citations
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Chang, Jung-Woo, et al.. (2019). SDCNN: An Efficient Sparse Deconvolutional Neural Network Accelerator on FPGA. 9 indexed citations
8.
Chang, Jung-Woo, et al.. (2018). An Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 30(1). 281–295. 82 indexed citations
9.
Chang, Jung-Woo & Suk‐Ju Kang. (2018). Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution. Asia and South Pacific Design Automation Conference. 343–348. 13 indexed citations
10.
Chang, Jung-Woo & Suk‐Ju Kang. (2018). Real-time Vehicle Detection and Tracking Algorithm for Forward Vehicle Collision Warning. JSTS Journal of Semiconductor Technology and Science. 18(5). 547–559. 1 indexed citations
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Chang, Jung-Woo & Suk‐Ju Kang. (2018). Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution. 26 indexed citations
12.
Chang, Jung-Woo, et al.. (2017). Real-time temporal quality compensation technique for head mounted displays. 1–2. 3 indexed citations
13.
Ik, Dong, Min Woo Lee, Tae Wook Kang, et al.. (2017). Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods. Acta Radiologica. 58(11). 1349–1357. 13 indexed citations
14.
Ik, Dong, Min Woo Lee, Kyoung Doo Song, et al.. (2017). A prospective comparison between auto-registration and manual registration of real-time ultrasound with MR images for percutaneous ablation or biopsy of hepatic lesions. Abdominal Radiology. 42(6). 1799–1808. 11 indexed citations
15.
Ik, Dong, Min Woo Lee, Tae Wook Kang, et al.. (2017). Comparison Between CT and MR Images as More Favorable Reference Data Sets for Fusion Imaging-Guided Radiofrequency Ablation or Biopsy of Hepatic Lesions: A Prospective Study with Focus on Patient’s Respiration. CardioVascular and Interventional Radiology. 40(10). 1567–1575. 5 indexed citations
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Chang, Jung-Woo & Myungsoo Kim. (2009). Efficient triangle–triangle intersection test for OBB-based collision detection. Computers & Graphics. 33(3). 235–240. 16 indexed citations
18.
Chang, Jung-Woo, Wenping Wang, & Myung-Soo Kim. (2009). Efficient collision detection using a dual OBB-sphere bounding volume hierarchy. Computer-Aided Design. 42(1). 50–57. 94 indexed citations
19.
Choi, Yi‐King, Jung-Woo Chang, Wenping Wang, Myung-Soo Kim, & Gershon Elber. (2008). Continuous Collision Detection for Ellipsoids. IEEE Transactions on Visualization and Computer Graphics. 15(2). 311–325. 68 indexed citations
20.
Choi, Yi‐King, Jung-Woo Chang, Wenping Wang, Myungsoo Kim, & Gershon Elber. (2006). Real-Time Continuous Collision Detection for Moving Ellipsoids under Affine Deformation. 5 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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