Chia-Hsiang Lin

2.1k total citations
88 papers, 1.5k citations indexed

About

Chia-Hsiang Lin is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Chia-Hsiang Lin has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Media Technology, 20 papers in Computer Vision and Pattern Recognition and 19 papers in Computational Mechanics. Recurrent topics in Chia-Hsiang Lin's work include Remote-Sensing Image Classification (41 papers), Advanced Image Fusion Techniques (33 papers) and Sparse and Compressive Sensing Techniques (16 papers). Chia-Hsiang Lin is often cited by papers focused on Remote-Sensing Image Classification (41 papers), Advanced Image Fusion Techniques (33 papers) and Sparse and Compressive Sensing Techniques (16 papers). Chia-Hsiang Lin collaborates with scholars based in Taiwan, Portugal and United States. Chia-Hsiang Lin's co-authors include Chong‐Yung Chi, Tsung-Che Chiang, Ke‐Horng Chen, José M. Bioucas‐Dias, Chun‐Yu Hsieh, Hong-Wei Huang, Wing‐Kin Ma, ArulMurugan Ambikapathi, Mário A. T. Figueiredo and Lina Zhuang and has published in prestigious journals such as Nature Communications, Nano Letters and Bioinformatics.

In The Last Decade

Chia-Hsiang Lin

84 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia-Hsiang Lin Taiwan 19 720 468 362 206 175 88 1.5k
Yan Feng China 18 336 0.5× 173 0.4× 390 1.1× 74 0.4× 67 0.4× 114 918
Sung Cheol Park South Korea 11 1.1k 1.6× 318 0.7× 1.9k 5.3× 227 1.1× 372 2.1× 44 2.7k
Jian Zou China 17 216 0.3× 220 0.5× 397 1.1× 283 1.4× 114 0.7× 78 991
Jianzhao Li Canada 19 181 0.3× 418 0.9× 101 0.3× 557 2.7× 611 3.5× 80 1.4k
Zhihai Xu China 20 1.1k 1.6× 221 0.5× 1.3k 3.6× 113 0.5× 256 1.5× 184 2.1k
Tao Yue China 18 222 0.3× 183 0.4× 401 1.1× 152 0.7× 315 1.8× 85 1.1k
Michael Moeller Germany 12 429 0.6× 155 0.3× 434 1.2× 98 0.5× 256 1.5× 51 923
Chao Ren China 19 571 0.8× 177 0.4× 876 2.4× 63 0.3× 64 0.4× 88 1.3k
Keigo Hirakawa United States 22 822 1.1× 244 0.5× 1.4k 3.9× 100 0.5× 177 1.0× 106 1.8k

Countries citing papers authored by Chia-Hsiang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Hsiang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hsiang Lin. 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 Chia-Hsiang Lin. The network helps show where Chia-Hsiang Lin may publish in the future.

Co-authorship network of co-authors of Chia-Hsiang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Hsiang Lin. A scholar is included among the top collaborators of Chia-Hsiang Lin 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 Chia-Hsiang Lin. Chia-Hsiang Lin 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.
2.
Lin, Chia-Hsiang, et al.. (2025). COS2A: Conversion From Sentinel-2 to AVIRIS Hyperspectral Data Using Interpretable Algorithm With Spectral–Spatial Duality. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
3.
Lin, Chia-Hsiang, et al.. (2024). Unsupervised Abundance Matrix Reconstruction Transformer-Guided Fractional Attention Mechanism for Hyperspectral Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9150–9164. 6 indexed citations
4.
5.
Lin, Chia-Hsiang, et al.. (2024). Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 6 indexed citations
6.
Lin, Chia-Hsiang, et al.. (2024). CODE-IF: A Convex/Deep Image Fusion Algorithm for Efficient Hyperspectral Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 2 indexed citations
7.
Lin, Chia-Hsiang, et al.. (2024). Synthesis of High-Resolution Formosat-8 Satellite Image using Fast Convex Deep Learning Algorithm. 7657–7661. 1 indexed citations
8.
Lin, Chia-Hsiang, et al.. (2023). Metasurface-empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory. Nature Communications. 14(1). 6979–6979. 60 indexed citations
9.
Lin, Chia-Hsiang, et al.. (2023). GNN-Based Small-Data Learning with Area-Control Mechanism for Hyperspectral Satellite Change Detection. 53. 726–732. 1 indexed citations
10.
11.
Chen, Lulu, Chia-Hsiang Lin, Rujia Dai, et al.. (2021). swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution. Bioinformatics. 38(5). 1403–1410. 9 indexed citations
12.
Lin, Chia-Hsiang, et al.. (2020). A New Hyperspectral Compressed Sensing Method for Efficient Satellite Communications. 1–5. 5 indexed citations
13.
Hsu, Chih–Chung, et al.. (2020). Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. 4585–4589. 11 indexed citations
14.
Lin, Chia-Hsiang, et al.. (2020). Penetrating terahertz hyperspectral unmixing via Löwner-John ellipsoid: An unsupervised algorithm. 1 indexed citations
15.
Lin, Chia-Hsiang, ArulMurugan Ambikapathi, Tsung-Che Chiang, & Chong‐Yung Chi. (2013). On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case. 2139–2143. 15 indexed citations
16.
Ambikapathi, ArulMurugan, Tsung‐Han Chan, Chia-Hsiang Lin, & Chong‐Yung Chi. (2013). Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images. 1–4. 7 indexed citations
17.
Lin, Chia-Hsiang, et al.. (2008). Film-Cooling Performance and Heat Transfer over an Inclined Film-Cooled Surface. Journal of Thermophysics and Heat Transfer. 22(3). 485–492. 6 indexed citations
18.
Chiu, Allen W., et al.. (2002). Internal Bladder Retractor for Laparoscopic Cystectomy in the Female Patient. The Journal of Urology. 168(4 Part 1). 1479–1481. 8 indexed citations
19.
Kao, Hui-Ling, et al.. (1994). A new structure for bi-epitaxial grain boundary junctions. Physica C Superconductivity. 235-240. 589–590. 3 indexed citations
20.
Kao, Hui-Ling, et al.. (1993). Control and Application of Epitaxial CeO2 Layer Growth for High Tc Superconducting Thin Films. Chinese Journal of Physics. 31(6). 1079–1083. 3 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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