Yan‐Wei Lee

594 total citations · 1 hit paper
12 papers, 439 citations indexed

About

Yan‐Wei Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yan‐Wei Lee has authored 12 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yan‐Wei Lee's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (2 papers). Yan‐Wei Lee is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (2 papers). Yan‐Wei Lee collaborates with scholars based in Taiwan, South Korea and United States. Yan‐Wei Lee's co-authors include Ruey‐Feng Chang, Chiun‐Sheng Huang, Woo Kyung Moon, Su Hyun Lee, Min Sun Bae, Su Hyun Lee, Chih‐Yen Tu, Yao‐Sian Huang, Chia‐Hung Chen and Wei‐Ren Lan and has published in prestigious journals such as Medical Physics, Ultrasound in Medicine & Biology and Computer Methods and Programs in Biomedicine.

In The Last Decade

Yan‐Wei Lee

12 papers receiving 425 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks

2020 238 citations Woo Kyung Moon, Yan‐Wei Lee et al. Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan‐Wei Lee Taiwan	7	329	304	76	60	56	12	439
Cai Chang China	14	315 1.0×	330 1.1×	117 1.5×	54 0.9×	53 0.9×	39	548
Afsaneh Jalalian Iran	5	303 0.9×	246 0.8×	121 1.6×	33 0.6×	44 0.8×	9	396
Leona Katsuta Japan	11	298 0.9×	374 1.2×	61 0.8×	36 0.6×	55 1.0×	20	473
Ja-Yeon Jeong South Korea	8	242 0.7×	263 0.9×	95 1.3×	23 0.4×	43 0.8×	14	398
Arne Juette United Kingdom	8	246 0.7×	199 0.7×	72 0.9×	46 0.8×	61 1.1×	21	347
Yaozhong Luo China	6	394 1.2×	326 1.1×	206 2.7×	91 1.5×	34 0.6×	7	536
Anna Karahaliou Greece	12	319 1.0×	395 1.3×	216 2.8×	36 0.6×	126 2.3×	27	622
Seyedehnafiseh Mirniaharikandehei United States	9	306 0.9×	374 1.2×	84 1.1×	42 0.7×	93 1.7×	25	512
Zhenyuan Ning China	12	289 0.9×	374 1.2×	125 1.6×	105 1.8×	112 2.0×	26	661

Countries citing papers authored by Yan‐Wei Lee

Since Specialization

Citations

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

Fields of papers citing papers by Yan‐Wei Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Wei Lee. 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 Yan‐Wei Lee. The network helps show where Yan‐Wei Lee may publish in the future.

Co-authorship network of co-authors of Yan‐Wei Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Lee, Yan‐Wei, et al.. (2024). Automatic slice selection and diagnosis of breast ultrasound image using deep learning. Biomedical Signal Processing and Control. 97. 106688–106688. 1 indexed citations

2.

Lee, Yan‐Wei, et al.. (2022). CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images. Artificial Intelligence in Medicine. 132. 102382–102382. 23 indexed citations

3.

Lee, Yan‐Wei, et al.. (2020). Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks. Computers in Biology and Medicine. 130. 104206–104206. 59 indexed citations

4.

Moon, Woo Kyung, et al.. (2020). Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks. Computer Methods and Programs in Biomedicine. 190. 105361–105361. 238 indexed citations breakdown →

5.

Lee, Yan‐Wei, et al.. (2020). Axillary lymph node metastasis status prediction in ultrasound image using convolution neural network. 11–11. 2 indexed citations

6.

Chen, Chia‐Hung, Yan‐Wei Lee, Yao‐Sian Huang, et al.. (2019). Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network. Computer Methods and Programs in Biomedicine. 177. 175–182. 40 indexed citations

7.

Moon, Woo Kyung, Yan‐Wei Lee, Chung‐Ming Lo, et al.. (2017). Computer-aided tumor diagnosis using shear wave breast elastography. Ultrasonics. 78. 125–133. 20 indexed citations

8.

Moon, Woo Kyung, Yan‐Wei Lee, Su Hyun Lee, et al.. (2017). Computer-aided prediction of axillary lymph node status in breast cancer using tumor surrounding tissue features in ultrasound images. Computer Methods and Programs in Biomedicine. 146. 143–150. 28 indexed citations

9.

Chen, Jeon‐Hor, Yan‐Wei Lee, Si‐Wa Chan, Dah‐Cherng Yeh, & Ruey‐Feng Chang. (2016). Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging. Ultrasound in Medicine & Biology. 42(5). 1211–1220. 16 indexed citations

10.

Lee, Yan‐Wei, Yi‐Chen Lai, Chui‐Mei Tiu, et al.. (2014). Automatic slice selection and diagnosis of breast strain elastography. Medical Physics. 41(10). 102902–102902. 5 indexed citations

11.

Liu, Jung‐Chun, et al.. (2008). Energy efficiency measurement for multimedia audio decoding on embedded systems. 404–408. 1 indexed citations

12.

Lin, Chu‐Hsing, et al.. (2008). A Robust Watermark Scheme for Copyright Protection. 2418. 132–137. 6 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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