Chao‐Yuan Yeh

2.7k total citations
34 papers, 936 citations indexed

About

Chao‐Yuan Yeh is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Surgery. According to data from OpenAlex, Chao‐Yuan Yeh has authored 34 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 8 papers in Surgery. Recurrent topics in Chao‐Yuan Yeh's work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (9 papers) and Skin and Cellular Biology Research (4 papers). Chao‐Yuan Yeh is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (9 papers) and Skin and Cellular Biology Research (4 papers). Chao‐Yuan Yeh collaborates with scholars based in Taiwan, United States and China. Chao‐Yuan Yeh's co-authors include Randall B. Widelitz, Cheng‐Ming Chuong, Wei-Hsiang Yu, Chi‐Chung Chen, Ping Wu, Chi-Hung Weng, Tsung‐Ting Tsai, Chen-Ju Fu, Yu‐Cheng Yeh and Cheng‐Yu Chen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chao‐Yuan Yeh

32 papers receiving 924 citations

Peers

Chao‐Yuan Yeh
Adib Keikhosravi United States
José Aneiros‐Fernández Spain
Miguel F. Diaz United States
Hotaka Kawai Japan
Daniel Chester United States
Daniel B. Burkhardt Australia
Kimmo Kartasalo Finland
Simon Chen United States
Takeshi Sasaki Japan
Bin Jin China
Adib Keikhosravi United States
Chao‐Yuan Yeh
Citations per year, relative to Chao‐Yuan Yeh Chao‐Yuan Yeh (= 1×) peers Adib Keikhosravi

Countries citing papers authored by Chao‐Yuan Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Yuan Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Yuan Yeh. 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 Chao‐Yuan Yeh. The network helps show where Chao‐Yuan Yeh may publish in the future.

Co-authorship network of co-authors of Chao‐Yuan Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Yuan Yeh. A scholar is included among the top collaborators of Chao‐Yuan Yeh 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 Chao‐Yuan Yeh. Chao‐Yuan Yeh 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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Chen, Chi‐Chung, et al.. (2023). Two‐tiered deep‐learning‐based model for histologic diagnosis of Helicobacter gastritis. Histopathology. 83(5). 771–781. 6 indexed citations
3.
Chuang, Wen‐Yu, Wei-Hsiang Yu, Hung Chang, et al.. (2022). Deep Learning–Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma. American Journal Of Pathology. 192(12). 1763–1778. 3 indexed citations
4.
Weng, Chi-Hung, et al.. (2022). Automatic recognition of whole-spine sagittal alignment and curvature analysis through a deep learning technique. European Spine Journal. 31(8). 2092–2103. 12 indexed citations
5.
Huang, Shih‐Chiang, Chi‐Chung Chen, Jui Lan, et al.. (2022). Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings. Nature Communications. 13(1). 3347–3347. 37 indexed citations
6.
Hsiao, Ming‐Yen, et al.. (2022). Deep Learning for Automatic Hyoid Tracking in Videofluoroscopic Swallow Studies. Dysphagia. 38(1). 171–180. 11 indexed citations
7.
Yu, Wei-Hsiang, Chih‐Hao Li, Ren‐Ching Wang, Chao‐Yuan Yeh, & Shih‐Sung Chuang. (2021). Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas. Cancers. 13(21). 5463–5463. 14 indexed citations
8.
Chuang, Wen‐Yu, Chi‐Chung Chen, Wei-Hsiang Yu, et al.. (2021). Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images. Modern Pathology. 34(10). 1901–1911. 38 indexed citations
9.
Yang, Chengkun, Ching-Yi Lee, Shun‐Chen Huang, et al.. (2021). Glomerular disease classification and lesion identification by machine learning. Biomedical Journal. 45(4). 675–685. 42 indexed citations
10.
Chen, Chi‐Long, Chi‐Chung Chen, Wei-Hsiang Yu, et al.. (2021). An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning. Nature Communications. 12(1). 1193–1193. 144 indexed citations
11.
Yeh, Yu‐Cheng, et al.. (2021). Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs. Scientific Reports. 11(1). 7618–7618. 65 indexed citations
12.
Yeh, Chao‐Yuan, Wei-Hsiang Yu, Chengkun Yang, et al.. (2021). Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network. Annals of Translational Medicine. 9(1). 37–37. 7 indexed citations
13.
Zhao, Zhixiang, Ben Wang, Yingxue Huang, et al.. (2020). A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study. JMIR Medical Informatics. 9(3). e23415–e23415. 32 indexed citations
14.
Liang, Ya‐Chen, Ping Wu, Gee‐Way Lin, et al.. (2020). Folding Keratin Gene Clusters during Skin Regional Specification. Developmental Cell. 53(5). 561–576.e9. 18 indexed citations
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Allodi, Marco A., et al.. (2018). Fiber-bundle illumination: realizing high-degree time-multiplexed multifocal multiphoton microscopy with simplicity. Scientific Reports. 8(1). 14863–14863. 2 indexed citations
17.
Li, Ang, Brian Reid, Chun-Chih Tseng, et al.. (2018). Calcium oscillations coordinate feather mesenchymal cell movement by SHH dependent modulation of gap junction networks. Nature Communications. 9(1). 5377–5377. 47 indexed citations
18.
Chen, Ta‐Ching, Chao‐Yuan Yeh, Chao‐Wen Lin, et al.. (2017). Vascular hypoperfusion in acute optic neuritis is a potentially new neurovascular model for demyelinating diseases. PLoS ONE. 12(9). e0184927–e0184927. 12 indexed citations
19.
Tsai, Tsung‐Ying, Ta‐Ching Chen, I‐Jong Wang, et al.. (2015). The Effect of Resveratrol on Protecting Corneal Epithelial Cells from Cytotoxicity Caused by Moxifloxacin and Benzalkonium Chloride. Investigative Ophthalmology & Visual Science. 56(3). 1575–1584. 31 indexed citations
20.
Chuong, Cheng‐Ming, et al.. (2012). Module‐based complexity formation: periodic patterning in feathers and hairs. Wiley Interdisciplinary Reviews Developmental Biology. 2(1). 97–112. 50 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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