Homer H. Chen

5.8k total citations
245 papers, 4.0k citations indexed

About

Homer H. Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Homer H. Chen has authored 245 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Computer Vision and Pattern Recognition, 91 papers in Signal Processing and 51 papers in Media Technology. Recurrent topics in Homer H. Chen's work include Advanced Vision and Imaging (64 papers), Video Coding and Compression Technologies (43 papers) and Music and Audio Processing (40 papers). Homer H. Chen is often cited by papers focused on Advanced Vision and Imaging (64 papers), Video Coding and Compression Technologies (43 papers) and Music and Audio Processing (40 papers). Homer H. Chen collaborates with scholars based in Taiwan, United States and China. Homer H. Chen's co-authors include Yi‐Hsuan Yang, Chia‐Kai Liang, Yu‐Ching Lin, Ya-Fan Su, Thomas S. Huang, Yi-Hsin Huang, Li‐Wen Chang, Tai‐Hsiang Huang, Chi Liu and Liang‐Gee Chen and has published in prestigious journals such as Blood, Applied Physics Letters and The Journal of Immunology.

In The Last Decade

Homer H. Chen

232 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Homer H. Chen Taiwan 31 2.6k 1.5k 641 523 354 245 4.0k
Yong Man Ro South Korea 35 3.4k 1.3× 973 0.6× 796 1.2× 483 0.9× 926 2.6× 379 4.9k
Nicolai Petkov Netherlands 31 2.2k 0.8× 438 0.3× 403 0.6× 498 1.0× 749 2.1× 137 4.2k
Terence Sim Singapore 24 4.2k 1.6× 979 0.6× 840 1.3× 92 0.2× 687 1.9× 101 4.9k
Xiongkuo Min China 39 5.5k 2.1× 478 0.3× 2.1k 3.4× 455 0.9× 249 0.7× 244 6.8k
King Ngi Ngan Hong Kong 41 6.3k 2.4× 1.7k 1.1× 1.2k 1.8× 188 0.4× 383 1.1× 378 7.1k
Aljoša Smolić Ireland 41 5.9k 2.3× 2.8k 1.9× 1.0k 1.6× 247 0.5× 173 0.5× 224 6.4k
Xiaoyi Feng China 23 1.8k 0.7× 855 0.6× 270 0.4× 126 0.2× 500 1.4× 160 2.7k
Shang‐Hong Lai Taiwan 28 2.5k 1.0× 456 0.3× 454 0.7× 141 0.3× 268 0.8× 230 3.2k
Debin Zhao China 43 6.6k 2.5× 2.4k 1.6× 1.4k 2.2× 250 0.5× 338 1.0× 349 8.0k
S.S. Hemami United States 27 5.5k 2.1× 668 0.4× 1.2k 1.9× 582 1.1× 189 0.5× 126 5.9k

Countries citing papers authored by Homer H. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Homer H. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Homer H. Chen. 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 Homer H. Chen. The network helps show where Homer H. Chen may publish in the future.

Co-authorship network of co-authors of Homer H. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Homer H. Chen. A scholar is included among the top collaborators of Homer H. Chen 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 Homer H. Chen. Homer H. Chen 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.
Liu, Chih-Hao, et al.. (2025). Quantitative assessment of in vivo nuclei and layers of human skin by deep learning-based OCT image segmentation. Biomedical Optics Express. 16(4). 1528–1528.
2.
Chen, Homer H., et al.. (2024). Masked face recognition using domain adaptation. Pattern Recognition. 153. 110574–110574. 4 indexed citations
3.
Liu, Chih-Hao, et al.. (2023). Toward cell nuclei precision between OCT and H&E images translation using signal-to-noise ratio cycle-consistency. Computer Methods and Programs in Biomedicine. 242. 107824–107824.
4.
Jain, Manu, S. C. Chang, Nicholas R. Kurtansky, et al.. (2023). High‐resolution full‐field optical coherence tomography microscope for the evaluation of freshly excised skin specimens during Mohs surgery: A feasibility study. Journal of Biophotonics. 17(1). e202300275–e202300275. 8 indexed citations
5.
Liu, Chih-Hao, Manu Jain, Chih‐Shan Jason Chen, et al.. (2023). Training With Uncertain Annotations for Semantic Segmentation of Basal Cell Carcinoma From Full-Field OCT Images. IEEE Transactions on Medical Imaging. 43(3). 1060–1070. 1 indexed citations
6.
Chen, Homer H., et al.. (2023). Acquiring 360° Light Field by a Moving Dual-Fisheye Camera. IEEE Transactions on Image Processing. 32. 4677–4688. 1 indexed citations
7.
Yeh, Su‐Ling, et al.. (2023). Comparison of Light Field and Conventional Near-Eye AR Displays in Virtual-Real Integration Efficiency. RePEc: Research Papers in Economics. 14(1). 1–17.
8.
Hsieh, Yi‐Ting, et al.. (2021). Identification of Sex and Age from Macular Optical Coherence Tomography and Feature Analysis Using Deep Learning. American Journal of Ophthalmology. 235. 221–228. 19 indexed citations
9.
Huang, Sheng‐Lung, et al.. (2020). Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning. Computerized Medical Imaging and Graphics. 87. 101833–101833. 13 indexed citations
10.
Yang, Yi‐Hsuan, et al.. (2018). Cross-Cultural Music Emotion Recognition by Adversarial Discriminative Domain Adaptation. 467–472. 3 indexed citations
11.
Vences‐Catalán, Felipe, Chiung-Chi Kuo, Yael Sagi, et al.. (2015). A mutation in the human tetraspanin CD81 gene is expressed as a truncated protein but does not enable CD19 maturation and cell surface expression. Journal of Clinical Immunology. 35(3). 254–263. 12 indexed citations
12.
Huang, Tai‐Hsiang, et al.. (2011). Learning-Based Prediction of Visual Attention for Video Signals. IEEE Transactions on Image Processing. 20(11). 3028–3038. 29 indexed citations
13.
Huang, Polly, et al.. (2011). A Collaborative Transcoding Strategy for Live Broadcasting Over Peer-to-Peer IPTV Networks. IEEE Transactions on Circuits and Systems for Video Technology. 21(2). 220–224. 10 indexed citations
14.
Su, Ya-Fan & Homer H. Chen. (2010). A Three-Stage Approach to Shadow Field Estimation From Partial Boundary Information. IEEE Transactions on Image Processing. 19(10). 2749–2760. 21 indexed citations
15.
Liang, Chia‐Kai, Li‐Wen Chang, & Homer H. Chen. (2008). Analysis and Compensation of Rolling Shutter Effect. IEEE Transactions on Image Processing. 17(8). 1323–1330. 170 indexed citations
16.
Chen, Homer H.. (2006). Block-based computation adjustment for complexity-aware live streaming systems. 1 indexed citations
17.
Arai, Kenichi & Homer H. Chen. (2006). Category decomposition based on sub-space method with learning process. 36. 712. 1 indexed citations
18.
Yao, Jason, et al.. (2006). Multiple description coding with spatial-temporal hybrid interpolation for video streaming in peer-to-peer networks. Journal of Zhejiang University. Science A. 7(5). 894–899. 6 indexed citations
19.
Ebrahimi, Touradj, Homer H. Chen, & Barry G. Haskell. (1995). Joint motion estimation and segmentation for very low bit rate video coding. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2501. 787–798. 1 indexed citations
20.
Chen, Homer H., et al.. (1992). Comments on "Comments on 'Calibration of wrist-mounted robotic sensors by solving homogeneous transform equations of the form AX = XB'" [with reply]. IEEE Transactions on Robotics and Automation. 8(4). 493–494. 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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