Chih–Chung Hsu

2.1k total citations
74 papers, 1.1k citations indexed

About

Chih–Chung Hsu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chih–Chung Hsu has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Chih–Chung Hsu's work include Advanced Image Processing Techniques (16 papers), Video Surveillance and Tracking Methods (9 papers) and Digital Media Forensic Detection (9 papers). Chih–Chung Hsu is often cited by papers focused on Advanced Image Processing Techniques (16 papers), Video Surveillance and Tracking Methods (9 papers) and Digital Media Forensic Detection (9 papers). Chih–Chung Hsu collaborates with scholars based in Taiwan, China and Singapore. Chih–Chung Hsu's co-authors include Chia‐Wen Lin, Chia‐Yen Lee, Chiou-Ting Hsu, Tzu-Yi Hung, Li‐Wei Kang, Weisi Lin, Yuming Fang, Gene Cheung, Chia‐Hung Yeh and Chia-Hsiang Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Chih–Chung Hsu

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih–Chung Hsu Taiwan 15 783 274 181 48 47 74 1.1k
Satya Prakash Ghrera India 13 740 0.9× 174 0.6× 156 0.9× 80 1.7× 173 3.7× 40 1.1k
Ghazali Sulong Malaysia 19 972 1.2× 211 0.8× 321 1.8× 93 1.9× 100 2.1× 116 1.2k
Ajaz Hussain Mir India 14 383 0.5× 158 0.6× 72 0.4× 107 2.2× 73 1.6× 90 873
Lingzhi Li China 12 907 1.2× 390 1.4× 44 0.2× 96 2.0× 52 1.1× 38 1.2k
Abbas Cheddad Sweden 17 1.6k 2.1× 291 1.1× 114 0.6× 103 2.1× 101 2.1× 66 2.2k
Kh. Manglem Singh India 18 942 1.2× 240 0.9× 128 0.7× 105 2.2× 48 1.0× 101 1.1k
Edoardo Ardizzone Italy 15 758 1.0× 144 0.5× 182 1.0× 89 1.9× 118 2.5× 98 992

Countries citing papers authored by Chih–Chung Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Chih–Chung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih–Chung Hsu. 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 Chih–Chung Hsu. The network helps show where Chih–Chung Hsu may publish in the future.

Co-authorship network of co-authors of Chih–Chung Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Chih–Chung Hsu. A scholar is included among the top collaborators of Chih–Chung Hsu 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 Chih–Chung Hsu. Chih–Chung Hsu 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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Lee, Chia-Ming, et al.. (2025). HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion. 2168–2172. 1 indexed citations
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Hsu, Chih–Chung, et al.. (2024). Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. 11464–11469. 1 indexed citations
5.
Bougourzi, Fares, Cosimo Distante, Fadi Dornaika, et al.. (2024). COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors. 24(5). 1557–1557. 1 indexed citations
6.
Hsu, Chih–Chung, et al.. (2024). Integrating Frailty Assessment to Enhance Care in Cancer Patients with Borderline Eastern Cooperative Oncology Group Performance Status. American Journal of Hospice and Palliative Medicine®. 41(11). 1272–1279. 1 indexed citations
7.
Hsu, Chih–Chung, et al.. (2023). Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans. 12. 1–4. 3 indexed citations
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Hsu, Chih–Chung, Chia‐Yen Hung, Chang‐Hsien Lu, et al.. (2023). Frailty assessment by two screening instruments in non-elderly patients with head and neck cancer. Oral Oncology. 147. 106621–106621. 4 indexed citations
10.
Hsu, Chih–Chung, et al.. (2023). Seeing is Not Believing: Toward Forgery Detection for Hyperspectral Image. 5858–5861.
11.
Hsu, Chih–Chung, et al.. (2022). A comprehensive study of age-related macular degeneration detection. Multimedia Tools and Applications. 81(9). 11897–11916. 2 indexed citations
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Wei, Yi‐Chia, Wen‐Yi Huang, Chih‐Chin Heather Hsu, et al.. (2022). Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images. NeuroImage Clinical. 35. 103044–103044. 14 indexed citations
15.
Hsu, Chih–Chung, Chia‐Yen Hung, Kun‐Yun Yeh, et al.. (2022). Potential Utility of the Mallampati Score for Prediction of Treatment Compliance and Safety Profiles of Patients With Head and Neck Cancer Undergoing Definitive Concurrent Chemoradiotherapy. Anticancer Research. 42(11). 5609–5618. 2 indexed citations
16.
Hsu, Chih–Chung, et al.. (2020). Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. 4585–4589. 11 indexed citations
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Hsu, Chih–Chung, et al.. (2019). Deep Fake Image Detection based on Pairwise Learning. 1 indexed citations
18.
Lee, Chia‐Yen, et al.. (2018). Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?. Journal of Healthcare Engineering. 2018. 1–10. 20 indexed citations
19.
Hsu, Chih–Chung, et al.. (2018). Learning to Detect Fake Face Images in the Wild. 388–391. 85 indexed citations
20.
Hsu, Chih–Chung, Hsuan Chang, & Ting-Cheng Chang. (2006). Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video. 411–414. 4 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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Breakdown of academic impact, for papers by Satya Prakash Ghrera Breakdown of academic impact, for papers by Ghazali Sulong Breakdown of academic impact, for papers by Ajaz Hussain Mir Breakdown of academic impact, for papers by Lingzhi Li Breakdown of academic impact, for papers by Abbas Cheddad Breakdown of academic impact, for papers by Kh. Manglem Singh Breakdown of academic impact, for papers by Edoardo Ardizzone
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2026