Yung‐Liang Wan

6.8k total citations · 1 hit paper
225 papers, 4.7k citations indexed

About

Yung‐Liang Wan is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yung‐Liang Wan has authored 225 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Surgery, 66 papers in Radiology, Nuclear Medicine and Imaging and 51 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yung‐Liang Wan's work include Advanced MRI Techniques and Applications (22 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Cardiac Imaging and Diagnostics (17 papers). Yung‐Liang Wan is often cited by papers focused on Advanced MRI Techniques and Applications (22 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Cardiac Imaging and Diagnostics (17 papers). Yung‐Liang Wan collaborates with scholars based in Taiwan, United States and China. Yung‐Liang Wan's co-authors include Shu‐Hang Ng, Sheung‐Fat Ko, Po‐Hsiang Tsui, Yun‐Chung Cheung, Tze‐Yu Lee, Ho‐Ling Liu, Yau‐Yau Wai, Cheng‐Hong Toh, Kuo‐Chen Wei and Koon‐Kwan Ng and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Yung‐Liang Wan

218 papers receiving 4.5k 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.

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

2023 114 citations Peter G. Mikhael, Jeremy Wohlwend et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yung‐Liang Wan Taiwan	34	1.6k	1.6k	1.0k	491	444	225	4.7k
Helmut Prosch Austria	38	1.1k 0.7×	1.5k 0.9×	1.5k 1.4×	851 1.7×	366 0.8×	227	4.8k
Minerva Becker Switzerland	47	2.2k 1.4×	1.6k 1.0×	1.3k 1.2×	818 1.7×	360 0.8×	197	5.6k
Niranjan Khandelwal India	42	2.8k 1.7×	1.1k 0.7×	1.5k 1.4×	516 1.1×	907 2.0×	463	7.5k
Salvatore Cappabianca Italy	36	1.4k 0.9×	1.2k 0.8×	1.1k 1.1×	854 1.7×	441 1.0×	262	4.4k
Nikolaos Kelekis Greece	35	1.1k 0.7×	1.2k 0.8×	1.2k 1.1×	577 1.2×	883 2.0×	254	4.5k
Margaret Hall‐Craggs United Kingdom	40	1.3k 0.8×	1.2k 0.8×	530 0.5×	493 1.0×	639 1.4×	199	5.1k
Ahmed Abdel Khalek Abdel Razek Egypt	52	2.1k 1.3×	3.2k 2.0×	964 0.9×	690 1.4×	913 2.1×	252	7.3k
Davide Farina Italy	32	1.3k 0.8×	926 0.6×	634 0.6×	818 1.7×	357 0.8×	160	4.4k
Shu‐Hang Ng Taiwan	48	3.2k 2.0×	2.7k 1.7×	1.9k 1.8×	1.9k 3.9×	435 1.0×	293	8.2k
Noriyuki Tomiyama Japan	46	1.5k 1.0×	2.7k 1.7×	3.8k 3.6×	577 1.2×	1.0k 2.3×	400	7.9k

Countries citing papers authored by Yung‐Liang Wan

Since Specialization

Citations

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

Fields of papers citing papers by Yung‐Liang Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Liang Wan. 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 Yung‐Liang Wan. The network helps show where Yung‐Liang Wan may publish in the future.

Co-authorship network of co-authors of Yung‐Liang Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Liang Wan. A scholar is included among the top collaborators of Yung‐Liang Wan 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 Yung‐Liang Wan. Yung‐Liang Wan 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:

20 of 20 papers shown

Huang, Ting, Xiaoying Liu, Yung‐Liang Wan, et al.. (2025). Prenatal Evaluation of the Fetal Tympanic Ring Using Transverse Transoccipital Ultrasonographic Sections. Journal of Ultrasound in Medicine. 44(10). 1859–1869.

Juan, Yu‐Hsiang, et al.. (2024). Hyperpolarized Carbon-13 Magnetic Resonance Imaging: Technical Considerations and Clinical Applications. Korean Journal of Radiology. 25(5). 459–459. 2 indexed citations

Wu, Chen‐Te, et al.. (2024). Incidental Findings in Lung Cancer Screening. Cancers. 16(14). 2600–2600. 1 indexed citations

Lin, Gigin, et al.. (2024). Ultrasonography of acute retroperitoneum. ULTRASONOGRAPHY. 43(3). 179–192. 1 indexed citations

Mikhael, Peter G., Jeremy Wohlwend, Adam Yala, et al.. (2023). Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. Journal of Clinical Oncology. 41(12). 2191–2200. 114 indexed citations breakdown →

Wan, Yung‐Liang, et al.. (2023). Comparison of the artificial intelligence in characterizing pulmonary nodule on low-dose computed tomograms using different slice thicknesses. 48(1). 7–7.

Wong, H F, et al.. (2022). Superior Mesenteric Artery Syndrome. PubMed. 32(12). SS100–SS101.

Yala, Adam, Peter G. Mikhael, Constance D. Lehman, et al.. (2022). Optimizing risk-based breast cancer screening policies with reinforcement learning. Nature Medicine. 28(1). 136–143. 57 indexed citations

Yala, Adam, Peter G. Mikhael, Fredrik Strand, et al.. (2021). Toward robust mammography-based models for breast cancer risk. Science Translational Medicine. 13(578). 135 indexed citations

10.

Chang, Wei‐Chou, Hsian‐He Hsu, Wen‐Yen Huang, et al.. (2021). Transcatheter Arterial Chemoembolization with Drug-Eluting Beads for the Treatment of Hepatocellular Carcinoma: Recommended Selection for Small-Caliber (. Journal of Hepatocellular Carcinoma. Volume 8. 937–949. 18 indexed citations

11.

Wan, Yung‐Liang, et al.. (2020). The Use of Artificial Intelligence in the Differentiation of Malignant and Benign Lung Nodules on Computed Tomograms Proven by Surgical Pathology. Cancers. 12(8). 2211–2211. 31 indexed citations

12.

Lee, Yuan‐Hao, Cheng‐Yu Chen, Yung‐Liang Wan, et al.. (2016). Patient safety during radiological examinations: a nationwide survey of residency training hospitals in Taiwan. BMJ Open. 6(9). e010756–e010756. 1 indexed citations

13.

Fu, Chen-Ju, Huan‐Wu Chen, Chen‐Te Wu, et al.. (2013). Extraspinal Malignancies Found Incidentally on Lumbar Spine MRI: Prevalence and Etiologies. 38(3). 85–91. 4 indexed citations

14.

Sun, Zhonghua, Pei‐Kwei Tsay, Tiffany Chan, et al.. (2013). Significance of Coronary Calcification for Prediction of Coronary Artery Disease and Cardiac Events Based on 64-Slice Coronary Computed Tomography Angiography. BioMed Research International. 2013. 1–9. 14 indexed citations

15.

Lui, Kar‐Wai, et al.. (2009). Percutaneous Transvascular Retrieval of the Dislodged Port-A Catheter Using En Snare System via Femoral Vein Approach. 34(3). 145–152. 1 indexed citations

16.

Ko, Sheung‐Fat, Hao Lin, Shu‐Hang Ng, Tze‐Yu Lee, & Yung‐Liang Wan. (2002). Postpartum hemorrhage with concurrent massive inferior epigastric artery bleeding after cesarean delivery. American Journal of Obstetrics and Gynecology. 187(1). 243–244. 8 indexed citations

17.

Ng, Shu‐Hang, et al.. (2002). Otogenic Deep Neck Abscess:A Rare Complication of Cholesteatoma with Acute Mastoiditis. 27(5). 251–256.

18.

Yen, Pao‐Sheng, et al.. (2000). Rosai-Dorfman Disease of the Paranasal Sinuses: Results of Computed Tomography and Magnetic Resonance Imaging. 25(4). 179–182. 1 indexed citations

19.

Ng, Koon‐Kwan, et al.. (1996). Leiomyomatosis Peritonealis Disseminata: A Case Report. 21(3). 173–176. 7 indexed citations

20.

Ng, Shu‐Hang, et al.. (1994). Radiological Findings of Aneurysmal Bone Cyst. 19(3). 217–222. 1 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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