Wei-Chung Shia

503 total citations
21 papers, 350 citations indexed

About

Wei-Chung Shia is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Wei-Chung Shia has authored 21 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Wei-Chung Shia's work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Radiography and Breast Imaging (4 papers). Wei-Chung Shia is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Radiography and Breast Imaging (4 papers). Wei-Chung Shia collaborates with scholars based in Taiwan, China and Japan. Wei-Chung Shia's co-authors include Dar‐Ren Chen, Fang-Rong Hsu, Huang‐Chi Chen, Chun-Eng Liu, Tien-Hsiung Ku, Chang‐Hua Chen, Ming-Feng Hsieh, Chuan-Yi Tang, Hwei‐Ling Peng and Yu-Len Huang and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Wei-Chung Shia

19 papers receiving 342 citations

Peers

Countries citing papers authored by Wei-Chung Shia

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Chung Shia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Chung Shia. 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 Wei-Chung Shia. The network helps show where Wei-Chung Shia may publish in the future.

Co-authorship network of co-authors of Wei-Chung Shia

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Chung Shia. A scholar is included among the top collaborators of Wei-Chung Shia 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 Wei-Chung Shia. Wei-Chung Shia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge Distillation 2025 ·Bioengineering ·Wei‐Chang Yeh, Wei-Chung Shia, Yun-Ting Hsu, (unknown), (unknown)	0
2	Hybrid Top Features Extraction Model for Detecting X Rumor Events Using an Ensemble Method 2025 ·Journal of Web Engineering ·(unknown), Wei-Chung Shia, Fang-Rong Hsu, (unknown), (unknown), (unknown), Junzo Watada	0
3	“An Integrated Approach using YOLOv8 and ResNet, SeResNet & Vision Transformer (ViT) Algorithms based on ROI Fracture Prediction in X-ray Images of the Elbow” 2024 ·Current Medical Imaging Formerly Current Medical Imaging Reviews ·(unknown), (unknown), Fang-Rong Hsu, Wei-Chung Shia, (unknown), (unknown), (unknown), (unknown), Tahir Hussain	12
4	Enhancing Microcalcification Detection in Mammography with YOLO-v8 Performance and Clinical Implications 2024 ·Diagnostics ·Wei-Chung Shia, (unknown)	2
5	Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessment 2024 ·Diagnostics ·Wei-Chung Shia, (unknown), Fang-Rong Hsu, Joseph Lin, Wen-Pei Wu, Hwa‐Koon Wu, (unknown), Dar‐Ren Chen	2
6	Specific Forms of Graphene Quantum Dots Induce Apoptosis and Cell Cycle Arrest in Breast Cancer Cells 2023 ·International Journal of Molecular Sciences ·Tien-Hsiung Ku, (unknown), Chien‐Te Hsieh, Grace Shiahuy Chen, Wei-Chung Shia	29
7	Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework 2023 ·Biomedicines ·(unknown), Wei-Chung Shia, Fang-Rong Hsu, (unknown)	26
8	Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3+ 2022 ·Sensors ·Wei-Chung Shia, Fang-Rong Hsu, (unknown), (unknown), Dar‐Ren Chen	11
9	Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound 2021 ·Diagnostics ·(unknown), Fang-Rong Hsu, (unknown), (unknown), Dar‐Ren Chen, Wei-Chung Shia	4
10	Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches 2021 ·Scientific Reports ·Wei-Chung Shia, (unknown), Dar‐Ren Chen	20
11	PBK Expression Is Associated With Prognosis of Patients With Oral Squamous Cell Carcinoma Treated With Radiotherapy: A Retrospective Study 2021 ·Anticancer Research ·(unknown), (unknown), (unknown), Wei-Chung Shia, Wen‐Wei Sung, Chung‐Min Yeh, Yueh‐Min Lin	8
12	Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine 2020 ·Computerized Medical Imaging and Graphics ·Wei-Chung Shia, Dar‐Ren Chen	52
13	Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging 2019 ·Journal of Digital Imaging ·Dar‐Ren Chen, Yao‐Wen Chang, Hwa‐Koon Wu, Wei-Chung Shia, Yu-Len Huang	6
14	Mammographic Density Distribution of Healthy Taiwanese Women and its Naturally Decreasing Trend with Age 2018 ·Scientific Reports ·Wei-Chung Shia, Hwa‐Koon Wu, Yu-Len Huang, (unknown), Dar‐Ren Chen	5
15	Implant volume estimation in direct-to-implant breast reconstruction after nipple-sparing mastectomy 2018 ·Journal of Surgical Research ·Wei-Chung Shia, (unknown), Hwa‐Koon Wu, Shih-Lung Lin, Hung‐Wen Lai, Yu-Len Huang, Dar‐Ren Chen	8
16	Using Flow Characteristics in Three-Dimensional Power Doppler Ultrasound Imaging to Predict Complete Responses in Patients Undergoing Neoadjuvant Chemotherapy 2017 ·Journal of Ultrasound in Medicine ·Wei-Chung Shia, Yu-Len Huang, Hwa‐Koon Wu, Dar‐Ren Chen	7
17	The allele-specific copy number imbalance in CDK14/RABGAP1L/SH3BP5L and the relation to the poor prognosis in breast cancer 2017 ·The Breast ·Wei-Chung Shia, (unknown)	1
18	Effectiveness of evaluating tumor vascularization using 3D power Doppler ultrasound with high-definition flow technology in the prediction of the response to neoadjuvant chemotherapy for T2 breast cancer: a preliminary report 2015 ·Physics in Medicine and Biology ·Wei-Chung Shia, Dar‐Ren Chen, Yu-Len Huang, Hwa‐Koon Wu, Shou‐Jen Kuo	9
19	Whole-genome sequencing and identification of Morganella morganii KT pathogenicity-related genes 2012 ·BMC Genomics ·(unknown), Hwei‐Ling Peng, Wei-Chung Shia, Fang-Rong Hsu, (unknown), (unknown), Chang‐Hua Chen, Chun-Eng Liu, Ming-Feng Hsieh, Huang‐Chi Chen, Chuan-Yi Tang, (unknown)	111
20	Genetic copy number variants in myocardial infarction patients with hyperlipidemia 2011 ·BMC Genomics ·Wei-Chung Shia, Tien-Hsiung Ku, Yu-Ming Tsao, Chien‐Hsun Hsia, (unknown), Ching-Hui Huang, Yeh‐Ching Chung, Shih‐Lan Hsu, Kae‐Woei Liang, Fang-Rong Hsu	34

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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