Yung-Nien Sun

575 total citations
38 papers, 411 citations indexed

About

Yung-Nien Sun is a scholar working on Computer Vision and Pattern Recognition, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yung-Nien Sun has authored 38 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 9 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yung-Nien Sun's work include Medical Image Segmentation Techniques (14 papers), Advanced Vision and Imaging (6 papers) and Orthopedic Surgery and Rehabilitation (6 papers). Yung-Nien Sun is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Advanced Vision and Imaging (6 papers) and Orthopedic Surgery and Rehabilitation (6 papers). Yung-Nien Sun collaborates with scholars based in Taiwan, United States and Japan. Yung-Nien Sun's co-authors include Xi‐Zhang Lin, Ming‐Huwi Horng, Chin‐Hsing Chen, Yiying Wang, Hong‐Ming Tsai, Bor‐Shyang Sheu, Bin Cheng, Sen‐Tien Tsai, Li‐Wha Wu and Fong‐Chin Su and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Pattern Recognition.

In The Last Decade

Yung-Nien Sun

31 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yung-Nien Sun Taiwan	12	195	98	68	68	67	38	411
Benoît Naegel France	13	244 1.3×	45 0.5×	39 0.6×	74 1.1×	23 0.3×	35	381
Olivier Dourthe France	4	269 1.4×	99 1.0×	103 1.5×	127 1.9×	44 0.7×	6	411
Xuehu Wang China	9	169 0.9×	48 0.5×	54 0.8×	88 1.3×	22 0.3×	22	332
Mohammed Yusuf Ansari Qatar	13	178 0.9×	43 0.4×	164 2.4×	251 3.7×	53 0.8×	21	696
Xinglong Wu China	8	96 0.5×	72 0.7×	250 3.7×	338 5.0×	41 0.6×	37	703
Rahul Prasanna Kumar Norway	11	216 1.1×	242 2.5×	28 0.4×	84 1.2×	40 0.6×	28	455
Alexandra Nikita Greece	10	190 1.0×	83 0.8×	236 3.5×	203 3.0×	82 1.2×	16	564
Christophe Koehl France	9	376 1.9×	270 2.8×	106 1.6×	147 2.2×	87 1.3×	11	664
Hong‐Ming Tsai Taiwan	11	177 0.9×	185 1.9×	155 2.3×	189 2.8×	183 2.7×	33	648
Laurent Massoptier Italy	11	263 1.3×	54 0.6×	142 2.1×	252 3.7×	44 0.7×	23	543

Countries citing papers authored by Yung-Nien Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yung-Nien Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung-Nien Sun. 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-Nien Sun. The network helps show where Yung-Nien Sun may publish in the future.

Co-authorship network of co-authors of Yung-Nien Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Nien Sun. A scholar is included among the top collaborators of Yung-Nien Sun 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-Nien Sun. Yung-Nien Sun 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

Yang, Tai‐Hua, et al.. (2024). The Detection and Classification of Scaphoid Fractures in Radiograph by Using a Convolutional Neural Network. Diagnostics. 14(21). 2425–2425.

Kuo, Li‐Chieh, et al.. (2017). Tendon-motion tracking in an ultrasound image sequence using optical-flow-based block matching. BioMedical Engineering OnLine. 16(1). 47–47. 7 indexed citations

Yang, Tai‐Hua, Shyh-Hau Wang, Yung-Nien Sun, et al.. (2016). Identification of the Position and Thickness of the First Annular Pulley in Sonographic Images. Ultrasound in Medicine & Biology. 42(5). 1075–1083. 9 indexed citations

Lu, Szu‐Ching, Li‐Chieh Kuo, Hsiu‐Yun Hsu, et al.. (2014). Finger Movement Function After Ultrasound-Guided Percutaneous Pulley Release for Trigger Finger: Effects of Postoperative Rehabilitation. Archives of Physical Medicine and Rehabilitation. 96(1). 91–97. 4 indexed citations

Yang, Tai‐Hua, Li‐Chieh Kuo, Stephen Cha, et al.. (2014). Clinical and pathological correlates of severity classifications in trigger fingers based on computer-aided image analysis. BioMedical Engineering OnLine. 13(1). 100–100. 7 indexed citations

Sun, Yung-Nien, et al.. (2010). WATERSHED SEGMENTATION WITH AUTOMATIC ALTITUDE SELECTION AND REGION MERGING BASED ON THE MARKOV RANDOM FIELD MODEL. International Journal of Pattern Recognition and Artificial Intelligence. 24(1). 153–171. 12 indexed citations

Wang, Yiying, Chou‐Ching K. Lin, & Yung-Nien Sun. (2009). Registration-based segmentation of nerve cells in microscopy images. PubMed. 2009. 6726–6729. 1 indexed citations

Sun, Yung-Nien, et al.. (2007). Three-Dimensional Modeling From Endoscopic Video Using Geometric Constraints Via Feature Positioning. IEEE Transactions on Biomedical Engineering. 54(7). 1199–1211. 40 indexed citations

Wang, Yiying, et al.. (2007). A Color-Based Approach for Automated Segmentation in Tumor Tissue Classification. Conference proceedings. 2007. 6576–6579. 29 indexed citations

10.

Wu, Chung‐Hsien, Yen-Ting Chen, Nan-Tsing Chiu, & Yung-Nien Sun. (2006). Fusion of Multimodality Medical Images Assisting Acute Pyelonephritis Diagnosis. Journal of Medical and Biological Engineering. 26(2). 55–59.

11.

Wang, Yiying, Yung-Nien Sun, Chou‐Ching K. Lin, & Ming‐Shaung Ju. (2006). Nerve Cell Segmentation via Multi-Scale Gradient Watershed Hierarchies. PubMed. 5438. 6698–6701. 15 indexed citations

12.

Cheng, Kuo‐Sheng, et al.. (2005). Quantitatively Characterizing the Texture Feature of Ultrasonic Images for Breast Cancer with Histopathological Correlation. Journal of Ultrasound in Medicine. 24(5). 1 indexed citations

13.

Liu, Chun‐Yen, et al.. (2004). Automatic extraction and visualization of human inner structures from endoscopic image sequences. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5369. 464–464. 12 indexed citations

14.

Sun, Yung-Nien, et al.. (2003). Adaptive diffusion filter and absorbing light function for effective preprocessing in fetal ultrasound. 2. 1058–1058.

15.

Horng, Ming‐Huwi, Yung-Nien Sun, & Xi‐Zhang Lin. (2002). A diagnostic image system for assessing the severity of chronic liver disease. 3. 1672–1675. 3 indexed citations

16.

Lin, Shoa-Lin, et al.. (2002). Initial experience of using color kinesis in the diagnosis of coronary artery disease.. PubMed. 65(10). 457–67.

17.

Sun, Yung-Nien, et al.. (2000). A self-learning segmentation framework—the Taguchi approach. Computerized Medical Imaging and Graphics. 24(5). 283–296. 11 indexed citations

18.

Wu, Chung‐Hsien, Yung-Nien Sun, & Nan-Tsing Chiu. (1999). <title>Segmentation of acute pyelonephritis area on kidney SPECT images using binary shape analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3661. 1019–1026. 2 indexed citations

19.

Lin, Xi‐Zhang, et al.. (1998). Liver volume in patients with or without chronic liver diseases.. PubMed. 45(22). 1069–74. 60 indexed citations

20.

Yang, Wen‐Horng, et al.. (1996). Segmentation and reconstruction of prostate from transrectal ultrasound images. 8(3). 287–292. 10 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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