Michael Ying

5.9k total citations
153 papers, 4.0k citations indexed

About

Michael Ying is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology. According to data from OpenAlex, Michael Ying has authored 153 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Surgery, 37 papers in Radiology, Nuclear Medicine and Imaging and 31 papers in Otorhinolaryngology. Recurrent topics in Michael Ying's work include Head and Neck Cancer Studies (31 papers), Lymphadenopathy Diagnosis and Analysis (22 papers) and Thyroid Cancer Diagnosis and Treatment (14 papers). Michael Ying is often cited by papers focused on Head and Neck Cancer Studies (31 papers), Lymphadenopathy Diagnosis and Analysis (22 papers) and Thyroid Cancer Diagnosis and Treatment (14 papers). Michael Ying collaborates with scholars based in Hong Kong, China and United Kingdom. Michael Ying's co-authors include Anil T. Ahuja, Fiona Brook, Constantine Metreweli, C. Metreweli, H. Y. Yuen, V. Wu, Dora L.�W. Kwong, Shea Ping Yip, Lawrence Chan and Parco M. Siu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael Ying

149 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ying Hong Kong 36 1.8k 934 668 547 541 153 4.0k
Hitoshi Shibuya Japan 36 1.7k 0.9× 1.5k 1.6× 855 1.3× 1.4k 2.5× 162 0.3× 261 5.1k
Seong‐Jang Kim South Korea 33 1.3k 0.7× 1.5k 1.6× 176 0.3× 1.2k 2.1× 808 1.5× 228 4.5k
Davide Farina Italy 32 1.3k 0.7× 926 1.0× 596 0.9× 634 1.2× 79 0.1× 160 4.4k
Jürgen Hoffmann Germany 37 1.8k 1.0× 179 0.2× 422 0.6× 403 0.7× 130 0.2× 272 4.6k
C. Metreweli China 34 1.5k 0.8× 557 0.6× 346 0.5× 799 1.5× 341 0.6× 133 3.7k
Minerva Becker Switzerland 47 2.2k 1.2× 1.6k 1.7× 1.4k 2.1× 1.3k 2.4× 80 0.1× 197 5.6k
Thomas K. Pilgram United States 48 1.6k 0.9× 1.0k 1.1× 58 0.1× 1.7k 3.1× 443 0.8× 181 6.4k
Yung‐Liang Wan Taiwan 34 1.6k 0.9× 1.6k 1.7× 207 0.3× 1.0k 1.9× 47 0.1× 225 4.7k
Carlo Della Rocca Italy 34 1.3k 0.7× 222 0.2× 150 0.2× 871 1.6× 95 0.2× 234 4.0k
Rudolf Seemann Austria 34 1.3k 0.7× 160 0.2× 249 0.4× 154 0.3× 150 0.3× 163 3.4k

Countries citing papers authored by Michael Ying

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Ying. 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 Michael Ying. The network helps show where Michael Ying may publish in the future.

Co-authorship network of co-authors of Michael Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ying. A scholar is included among the top collaborators of Michael Ying 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 Michael Ying. Michael Ying 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.
Qin, Jing, et al.. (2025). Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis. BMC Cancer. 25(1). 73–73. 1 indexed citations
2.
Yao, Pu, Jing Qin, Ann D. King, et al.. (2025). The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review. IEEE Access. 13. 97208–97227.
3.
Miller, Tiev, et al.. (2025). Motor Impairment and Disuse Are Independent Predictors of Vascular Outcomes Poststroke. Physical Therapy. 105(3).
4.
5.
6.
7.
Chen, Ziman, Michael Ying, Jiaxin Chen, et al.. (2023). Using elastography-based multilayer perceptron model to evaluate renal fibrosis in chronic kidney disease. Renal Failure. 45(1). 2202755–2202755. 10 indexed citations
8.
Ying, Michael, et al.. (2022). Combined Shear Wave Elastography and EU TIRADS in Differentiating Malignant and Benign Thyroid Nodules. Cancers. 14(22). 5521–5521. 11 indexed citations
9.
Liu, Shirley Yuk‐Wah, et al.. (2022). Diagnostic Value of AngioPLUS Microvascular Imaging in Thyroid Nodule Diagnosis Using Quantitative and Qualitative Vascularity Grading. Biomedicines. 10(7). 1554–1554. 6 indexed citations
10.
Liu, Shirley Yuk‐Wah, et al.. (2021). Comparative Analysis of Computer-Aided Diagnosis and Computer-Assisted Subjective Assessment in Thyroid Ultrasound. Life. 11(11). 1148–1148. 2 indexed citations
11.
12.
Lam, Andrew, et al.. (2020). Capillary perfusion of superficial retina and hemodynamics of central retinal artery in myopic eyes. Investigative Ophthalmology & Visual Science. 61(7). 2676–2676. 1 indexed citations
13.
14.
Leong, Hio Teng, et al.. (2017). Tendon vascularity in overhead athletes with subacromial pain syndrome and its correlation with the resting subacromial space. Journal of Shoulder and Elbow Surgery. 26(5). 774–780. 11 indexed citations
15.
Yuan, Chuang, V. Wu, Shea Ping Yip, Dora L.�W. Kwong, & Michael Ying. (2014). Predictors of the Extent of Carotid Atherosclerosis in Patients Treated with Radiotherapy for Nasopharyngeal Carcinoma. PLoS ONE. 9(12). e116284–e116284. 13 indexed citations
16.
Kot, Brian C. W., Michael Ying, & Fiona Brook. (2012). A Comparison of Portable Ultrasound and Fully-Equipped Clinical Ultrasound Unit in the Thyroid Size Measurement of the Indo-Pacific Bottlenose Dolphin. PLoS ONE. 7(1). e30218–e30218. 4 indexed citations
17.
18.
Ying, Michael, Anil T. Ahuja, & Fiona Brook. (2004). Accuracy of sonographic vascular features in differentiating different causes of cervical lymphadenopathy. Ultrasound in Medicine & Biology. 30(4). 441–447. 62 indexed citations
19.
Ahuja, Anil T., et al.. (2001). Power Doppler Sonography of Cervical Lymphadenopathy. Clinical Radiology. 56(12). 965–969. 27 indexed citations
20.
Ahuja, Anil T., et al.. (1996). The use of sonography in differentiating cervical lymphomatous lymph nodes from cervical metastatic lymph nodes. Brain and Language. 51(3). 186–190. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hitoshi Shibuya Breakdown of academic impact, for papers by Seong‐Jang Kim Breakdown of academic impact, for papers by Davide Farina Breakdown of academic impact, for papers by Jürgen Hoffmann Breakdown of academic impact, for papers by C. Metreweli Breakdown of academic impact, for papers by Minerva Becker Breakdown of academic impact, for papers by Thomas K. Pilgram Breakdown of academic impact, for papers by Yung‐Liang Wan Breakdown of academic impact, for papers by Carlo Della Rocca Breakdown of academic impact, for papers by Rudolf Seemann
Rankless by CCL
2026