Tsung‐Lung Yang

641 total citations
38 papers, 450 citations indexed

About

Tsung‐Lung Yang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tsung‐Lung Yang has authored 38 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tsung‐Lung Yang's work include AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (7 papers) and Global Cancer Incidence and Screening (5 papers). Tsung‐Lung Yang is often cited by papers focused on AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (7 papers) and Global Cancer Incidence and Screening (5 papers). Tsung‐Lung Yang collaborates with scholars based in Taiwan, United States and Australia. Tsung‐Lung Yang's co-authors include Jer‐Shyung Huang, Huay‐Ben Pan, Chen‐Pin Chou, Huei‐Lung Liang, Chia‐Ling Chiang, Jia-Bin Liao, San‐Nung Chen, John Lewin, Chia‐Hung Lin and Weiling Chen and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and Sensors.

In The Last Decade

Tsung‐Lung Yang

37 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsung‐Lung Yang Taiwan 13 185 154 109 83 61 38 450
Roxanne Lorans United States 11 154 0.8× 162 1.1× 73 0.7× 98 1.2× 72 1.2× 18 426
Cláudia Freitas Portugal 14 219 1.2× 170 1.1× 98 0.9× 56 0.7× 52 0.9× 42 509
Niall Phelan Ireland 12 248 1.3× 155 1.0× 171 1.6× 46 0.6× 187 3.1× 30 577
Sepideh Shakeri Iran 14 329 1.8× 300 1.9× 118 1.1× 35 0.4× 32 0.5× 42 717
Caterina Beatrice Monti Italy 14 157 0.8× 385 2.5× 84 0.8× 123 1.5× 75 1.2× 61 694
Martina Caruso Italy 11 92 0.5× 167 1.1× 54 0.5× 137 1.7× 52 0.9× 42 471
Bruno Boyer France 13 130 0.7× 221 1.4× 179 1.6× 89 1.1× 74 1.2× 48 453
Jure Fettich Slovenia 10 234 1.3× 159 1.0× 56 0.5× 137 1.7× 55 0.9× 20 512
Benjamin Hunter United Kingdom 10 82 0.4× 125 0.8× 87 0.8× 78 0.9× 48 0.8× 19 428
Robyn L. Ball United States 17 139 0.8× 293 1.9× 146 1.3× 68 0.8× 52 0.9× 41 867

Countries citing papers authored by Tsung‐Lung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tsung‐Lung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung‐Lung Yang. 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 Tsung‐Lung Yang. The network helps show where Tsung‐Lung Yang may publish in the future.

Co-authorship network of co-authors of Tsung‐Lung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Lung Yang. A scholar is included among the top collaborators of Tsung‐Lung Yang 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 Tsung‐Lung Yang. Tsung‐Lung Yang 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.
Yang, Tsung‐Lung, et al.. (2022). Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department. Journal of Medical Systems. 46(7). 49–49. 12 indexed citations
2.
Yang, Tsung‐Lung, et al.. (2022). Pathologic liver tumor detection using feature aligned multi-scale convolutional network. Artificial Intelligence in Medicine. 125. 102244–102244. 16 indexed citations
3.
4.
5.
Hollingsworth, Alan B., et al.. (2021). Feasibility of Breast MRI as the Primary Imaging Modality in a Large Asian Cohort. Cureus. 13(5). e15095–e15095. 4 indexed citations
6.
Huang, Jer‐Shyung, et al.. (2020). Kinetic patterns of benign and malignant breast lesions on contrast enhanced digital mammogram. PLoS ONE. 15(9). e0239271–e0239271. 18 indexed citations
7.
Chen, Jeon‐Hor, Yang Zhang, Yifan Li, et al.. (2017). 3D MRI for Quantitative Analysis of Quadrant Percent Breast Density. Academic Radiology. 24(7). 811–817. 5 indexed citations
8.
Chiang, Chia‐Ling, Huei‐Lung Liang, Chen‐Pin Chou, et al.. (2016). Easily recognizable sonographic patterns of ductal carcinoma in situ of the breast. Journal of the Chinese Medical Association. 79(9). 493–499. 5 indexed citations
9.
Chou, Chen‐Pin, Nan‐Jing Peng, Tsung-Hsien Chang, et al.. (2015). Clinical roles of breast 3T MRI, FDG PET/CT, and breast ultrasound for asymptomatic women with an abnormal screening mammogram. Journal of the Chinese Medical Association. 78(12). 719–725. 11 indexed citations
10.
Pan, Huay‐Ben, Kam‐Fai Wong, Tsung‐Lung Yang, et al.. (2014). The outcome of a quality-controlled mammography screening program: Experience from a population-based study in Taiwan. Journal of the Chinese Medical Association. 77(10). 531–534. 17 indexed citations
11.
Pan, Huay‐Ben, Giu‐Cheng Hsu, Tsung‐Lung Yang, et al.. (2013). Peer reviewing of screening mammography in Taiwan: its reliability and the improvement. Chinese Medical Journal. 126(1). 68–71. 2 indexed citations
12.
Yang, Tsung‐Lung, et al.. (2013). Realizing Digital Signatures for Medical Imaging and Reporting in a PACS Environment. Journal of Medical Systems. 37(1). 9924–9924. 5 indexed citations
13.
Li, Mingfeng, Tsung‐Lung Yang, & Jer‐Shyung Huang. (2011). Imaging findings of primary urachal actinomycosis. Journal of the Chinese Medical Association. 74(1). 44–47. 8 indexed citations
14.
Jiau, Hewijin Christine, et al.. (2009). A novel indexing architecture for the provision of smart playback functions in collaborative telemedicine applications. Computers in Biology and Medicine. 40(2). 138–148. 2 indexed citations
15.
Hsu, Chao-Wen, Chieh‐Hsin Lin, Tsung‐Lung Yang, & Hong‐Tai Chang. (2008). Splenic inflammatory pseudotumor mimicking angiosarcoma. World Journal of Gastroenterology. 14(41). 6421–6421. 12 indexed citations
16.
Chen, San‐Nung, et al.. (2006). The quality and size of yolk sac in early pregnancy loss. Australian and New Zealand Journal of Obstetrics and Gynaecology. 46(5). 413–418. 36 indexed citations
17.
Wann, Shue-Ren, et al.. (2005). Successful Angiographic Stent-graft Treatment for Spontaneously Dissecting Broad-base Pseudoaneurysm of the Superior Mesenteric Artery. Journal of the Chinese Medical Association. 68(8). 397–400. 14 indexed citations
18.
Chen, San‐Nung, et al.. (2005). Very Large Yolk Sac and Bicornuate Uterus in a Live Birth. Journal of the Chinese Medical Association. 68(11). 535–537. 4 indexed citations
19.
Yang, Tsung‐Lung, et al.. (2004). Prenatal Diagnosis of Sharp‐Angled Lumbosacral Kyphosis With Myelomeningocele and Spina Bifida in a Fetus. Journal of Ultrasound in Medicine. 23(8). 1115–1119. 5 indexed citations
20.
Huang, Jer‐Shyung, et al.. (2000). Computed Tomography Scanning for Diagnosing Gallbladder Rupture: Experience with 64 Cases. 25(1). 13–16. 2 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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