Shih-Yu Chen

1.1k total citations
61 papers, 748 citations indexed

About

Shih-Yu Chen is a scholar working on Media Technology, Analytical Chemistry and Atmospheric Science. According to data from OpenAlex, Shih-Yu Chen has authored 61 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Media Technology, 15 papers in Analytical Chemistry and 14 papers in Atmospheric Science. Recurrent topics in Shih-Yu Chen's work include Remote-Sensing Image Classification (30 papers), Spectroscopy and Chemometric Analyses (15 papers) and Remote Sensing and Land Use (14 papers). Shih-Yu Chen is often cited by papers focused on Remote-Sensing Image Classification (30 papers), Spectroscopy and Chemometric Analyses (15 papers) and Remote Sensing and Land Use (14 papers). Shih-Yu Chen collaborates with scholars based in Taiwan, United States and China. Shih-Yu Chen's co-authors include Chein‐I Chang, Yulei Wang, Chinsu Lin, Chuan‐Yu Chang, Chia‐Chun Chen, Yang‐Yen Yu, Wen‐Chen Chien, Shiming Yang, Konstantinos Kalpakis and Hsian‐Min Chen and has published in prestigious journals such as Nature, Nature Communications and The Journal of Immunology.

In The Last Decade

Shih-Yu Chen

57 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih-Yu Chen Taiwan 16 293 171 129 108 91 61 748
Long Tian China 14 318 1.1× 203 1.2× 135 1.0× 200 1.9× 177 1.9× 47 743
Hamid Saeed Khan Pakistan 5 334 1.1× 134 0.8× 117 0.9× 159 1.5× 78 0.9× 10 652
Adeel Yousaf Pakistan 8 362 1.2× 184 1.1× 122 0.9× 223 2.1× 91 1.0× 11 761
Muhammad Jaleed Khan Pakistan 14 417 1.4× 156 0.9× 152 1.2× 419 3.9× 98 1.1× 36 1.2k
Jinrong He China 14 120 0.4× 81 0.5× 237 1.8× 146 1.4× 92 1.0× 71 1.0k
Ravi Shankar Singh India 19 113 0.4× 67 0.4× 32 0.2× 201 1.9× 37 0.4× 88 984
Mattia Savardi Italy 11 143 0.5× 53 0.3× 78 0.6× 114 1.1× 54 0.6× 29 566
Xian Guo China 21 321 1.1× 184 1.1× 24 0.2× 218 2.0× 90 1.0× 84 1.4k

Countries citing papers authored by Shih-Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Yu 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 Shih-Yu Chen. The network helps show where Shih-Yu Chen may publish in the future.

Co-authorship network of co-authors of Shih-Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Yu Chen. A scholar is included among the top collaborators of Shih-Yu 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 Shih-Yu Chen. Shih-Yu 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.
Chen, Shih-Yu, et al.. (2025). Automated peanut defect detection using hyperspectral imaging and deep learning: A real-time approach for smart agriculture. Smart Agricultural Technology. 11. 100943–100943. 1 indexed citations
2.
Chen, Shih-Yu, et al.. (2024). A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations
3.
Chen, Shih-Yu, et al.. (2024). Hyperspectral Target Detection-Based 2-D–3-D Parallel Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9451–9469. 4 indexed citations
4.
Hariharan, Shanmugasundaram, et al.. (2024). Advancements in Liver Tumor Detection: A Comprehensive Review of Various Deep Learning Models. Computer Modeling in Engineering & Sciences. 142(1). 91–122.
5.
Chen, Shih-Yu, et al.. (2023). Real-time defect and freshness inspection on chicken eggs using hyperspectral imaging. Food Control. 150. 109716–109716. 22 indexed citations
6.
Hariharan, Shanmugasundaram, Shih-Yu Chen, Vinay Kukreja, et al.. (2023). Early Diagnosis of Lung Tumors for Extending Patients’ Life Using Deep Neural Networks. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 993–1007. 1 indexed citations
7.
Lin, Cheng‐Wei, Hsin-Ying Lee, Winston H. Hsu, et al.. (2023). Self-Training with High-Dimensional Markers for Cell Instance Segmentation.
8.
Chen, Shih-Yu, et al.. (2022). Real-time defect inspection of green coffee beans using NIR snapshot hyperspectral imaging. Computers and Electronics in Agriculture. 197. 106970–106970. 45 indexed citations
9.
Chen, Shih-Yu, et al.. (2021). Surface Defect Detection of Wet-Blue Leather Using Hyperspectral Imaging. IEEE Access. 9. 127685–127702. 27 indexed citations
10.
Chen, Shih-Yu, et al.. (2021). Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves. Sensors. 21(6). 2077–2077. 9 indexed citations
11.
Rovira‐Clavé, Xavier, Sizun Jiang, Yunhao Bai, et al.. (2021). Subcellular localization of biomolecules and drug distribution by high-definition ion beam imaging. Nature Communications. 12(1). 4628–4628. 52 indexed citations
12.
Chen, Yuyuan, et al.. (2020). Partner Up: A Deep Learning Method for Predicting the Success of Social Media Influencer Collaboration. Journal of the Association for Information Systems. 1 indexed citations
13.
Chen, Shih-Yu, et al.. (2020). Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging. Remote Sensing. 12(15). 2348–2348. 28 indexed citations
14.
Chen, Shih-Yu, et al.. (2019). Weighted Background Suppression Target Detection Using Sparse Image Enhancement Technique for Newly Grown Tree Leaves. Remote Sensing. 11(9). 1081–1081. 10 indexed citations
15.
Liu, Keng-Hao, et al.. (2018). Progressive Sample Processing of Band Selection for Hyperspectral Image Transmission. Remote Sensing. 10(3). 367–367. 9 indexed citations
16.
Chen, Shih-Yu, et al.. (2018). Adaptive Window-Based Constrained Energy Minimization for Detection of Newly Grown Tree Leaves. Remote Sensing. 10(1). 96–96. 23 indexed citations
17.
Lin, Chinsu, et al.. (2018). Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques. ISPRS Journal of Photogrammetry and Remote Sensing. 142. 174–189. 54 indexed citations
18.
Rosental, Benyamin, Mark Kowarsky, Jun Seita, et al.. (2018). Complex mammalian-like haematopoietic system found in a colonial chordate. Nature. 564(7736). 425–429. 51 indexed citations
19.
Wang, Ching‐Chiung, et al.. (2016). Effects of Dang-Gui-Bu-Xue-Tang, an herbal decoction, on iron uptake in iron-deficient anemia. Drug Design Development and Therapy. 10. 949–949. 18 indexed citations
20.
Yu, Yang‐Yen, Wen‐Chen Chien, & Shih-Yu Chen. (2009). Hybrid Thin Films Derived from Poly(acrylic)/Colloidal Silica/Lanthanide Metal Complex. Journal of Nanoscience and Nanotechnology. 9(7). 4040–4047. 7 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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