Ssu‐Han Chen

1.2k total citations
67 papers, 876 citations indexed

About

Ssu‐Han Chen is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ssu‐Han Chen has authored 67 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Industrial and Manufacturing Engineering, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Mechanics. Recurrent topics in Ssu‐Han Chen's work include Industrial Vision Systems and Defect Detection (22 papers), Surface Roughness and Optical Measurements (11 papers) and Image Processing Techniques and Applications (8 papers). Ssu‐Han Chen is often cited by papers focused on Industrial Vision Systems and Defect Detection (22 papers), Surface Roughness and Optical Measurements (11 papers) and Image Processing Techniques and Applications (8 papers). Ssu‐Han Chen collaborates with scholars based in Taiwan, United States and Vietnam. Ssu‐Han Chen's co-authors include Der‐Baau Perng, Chia‐Chun Tsai, Dar‐Zen Chen, Mu‐Hsuan Huang, Chi‐Chang Chang, Pai‐Feng Hsu, Jeng‐Shyang Pan, Jeng‐Yi Tzeng, Pao‐Chi Chang and Chi-Jie Lu and has published in prestigious journals such as Scientific Reports, IEEE Journal on Selected Areas in Communications and International Journal of Environmental Research and Public Health.

In The Last Decade

Ssu‐Han Chen

64 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ssu‐Han Chen Taiwan 17 280 240 112 101 84 67 876
Wei Song China 18 76 0.3× 383 1.6× 68 0.6× 140 1.4× 124 1.5× 142 1.1k
Yiqi Wu China 16 106 0.4× 310 1.3× 84 0.8× 118 1.2× 193 2.3× 64 1.2k
Szu-Hao Huang Taiwan 18 178 0.6× 251 1.0× 51 0.5× 136 1.3× 273 3.3× 59 1.1k
Carlos Andrés Tavera Romero Colombia 18 116 0.4× 53 0.2× 57 0.5× 129 1.3× 197 2.3× 37 1.1k
Yiqun Li China 16 77 0.3× 378 1.6× 28 0.3× 178 1.8× 155 1.8× 109 947
K. Martin Sagayam India 18 33 0.1× 247 1.0× 35 0.3× 162 1.6× 212 2.5× 86 1.2k
Ling Cen United Arab Emirates 16 28 0.1× 99 0.4× 75 0.7× 176 1.7× 183 2.2× 57 950
Ali Rizwan Saudi Arabia 15 51 0.2× 51 0.2× 29 0.3× 107 1.1× 143 1.7× 50 797
Xiang Xie China 18 22 0.1× 323 1.3× 37 0.3× 463 4.6× 89 1.1× 136 1.2k
Halina Kwaśnicka Poland 11 63 0.2× 122 0.5× 14 0.1× 157 1.6× 406 4.8× 55 1.0k

Countries citing papers authored by Ssu‐Han Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ssu‐Han Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ssu‐Han 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 Ssu‐Han Chen. The network helps show where Ssu‐Han Chen may publish in the future.

Co-authorship network of co-authors of Ssu‐Han Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ssu‐Han Chen. A scholar is included among the top collaborators of Ssu‐Han 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 Ssu‐Han Chen. Ssu‐Han 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.
Huang, Chao, et al.. (2025). YOLOSeg with applications to wafer die particle defect segmentation. Scientific Reports. 15(1). 2311–2311.
2.
3.
Kuo, Yiyo, Ssu‐Han Chen, Taho Yang, & Wei-Chen Hsu. (2023). Optimizing a U-Shaped Conveyor Assembly Line Balancing Problem Considering Walking Times between Assembly Tasks. Applied Sciences. 13(6). 3702–3702. 1 indexed citations
4.
Chen, Ssu‐Han, et al.. (2023). Dynamic effect of economic growth on the persistence of suicide rates. Geospatial health. 18(1). 3 indexed citations
5.
Chen, Ssu‐Han, et al.. (2023). Real-Time Video Smoke Detection Based on Deep Domain Adaptation for Injection Molding Machines. Mathematics. 11(17). 3728–3728.
6.
Chen, Ssu‐Han, et al.. (2023). The dynamic effect of trading between China and Taiwan under exchange rate fluctuations. Humanities and Social Sciences Communications. 10(1). 1 indexed citations
7.
Chen, Ssu‐Han, et al.. (2022). A surface defect detection system for golden diamond pineapple based on CycleGAN and YOLOv4. Journal of King Saud University - Computer and Information Sciences. 34(10). 8041–8053. 19 indexed citations
8.
Chen, Kun‐Huang & Ssu‐Han Chen. (2022). Applying an artificial intelligence model using multidimensional spatial-temporal data to predict arsenic contamination of groundwater. Process Safety and Environmental Protection. 163. 362–367. 6 indexed citations
9.
Chang, Chi‐Chang, Tse‐Hung Huang, Pei‐Wei Shueng, et al.. (2021). Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors. International Journal of Environmental Research and Public Health. 18(23). 12499–12499. 14 indexed citations
10.
Tsai, Wen‐Chiuan, et al.. (2021). Overexpression of Cell-Surface Marker SLC16A1 Shortened Survival in Human High-Grade Gliomas. Journal of Molecular Neuroscience. 71(8). 1614–1621. 9 indexed citations
11.
Tsai, Wen‐Chiuan, Ssu‐Han Chen, Li‐Chun Huang, et al.. (2021). Shugoshin 2 is a biomarker for pathological grading and survival prediction in patients with gliomas. Scientific Reports. 11(1). 18541–18541. 9 indexed citations
12.
Chen, Ssu‐Han, et al.. (2021). Development of a Longitudinal Diagnosis and Prognosis in Patients with Chronic Kidney Disease: Intelligent Clinical Decision-Making Scheme. International Journal of Environmental Research and Public Health. 18(23). 12807–12807. 4 indexed citations
13.
Chen, Ssu‐Han & Wei‐Hsin Lin. (2020). DETERMINATION OF AN OPTIMAL PIPELINE FOR IMBALANCED CLASSIFICATION: PREDICTING POTENTIAL CUSTOMER COMPLAINTS TO A TEXTILE MANUFACTURER. International journal of industrial engineering. 27(5). 2 indexed citations
14.
Chen, Ssu‐Han, et al.. (2020). Detecting and Measuring Defects in Wafer Die Using GAN and YOLOv3. Applied Sciences. 10(23). 8725–8725. 29 indexed citations
15.
Chen, Ssu‐Han, et al.. (2020). Using Mahalanobis distance and decision tree to analyze abnormal patterns of behavior in a maintenance outsourcing process-a case study. Journal of Quality in Maintenance Engineering. 27(2). 253–263. 1 indexed citations
16.
Chang, Chi‐Chang & Ssu‐Han Chen. (2019). Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Breast Cancer Survivors. Frontiers in Genetics. 10. 848–848. 32 indexed citations
17.
Chen, Shiou‐Lan, Ssu‐Han Chen, Pisin Chen, et al.. (2015). A Placebo-Controlled Trial of Dextromethorphan as an Adjunct in Opioid-Dependent Patients Undergoing Methadone Maintenance Treatment. The International Journal of Neuropsychopharmacology. 18(7). pyv008–pyv008. 44 indexed citations
18.
Perng, Der‐Baau, et al.. (2014). A vision-based LED defect auto-recognition system. Nondestructive Testing And Evaluation. 29(4). 315–331. 4 indexed citations
19.
Chen, Ssu‐Han, Mu‐Hsuan Huang, & Dar‐Zen Chen. (2011). Visualization of the technology evolution in smart grid. NTUR (臺灣機構典藏). 4 indexed citations
20.
Chen, Ssu‐Han, et al.. (1990). Fast encoding algorithm for VQ-based image coding. Electronics Letters. 26(19). 1618–1619. 65 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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