Shih-chang Wang

648 total citations
22 papers, 465 citations indexed

About

Shih-chang Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Shih-chang Wang has authored 22 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Shih-chang Wang's work include Medical Image Segmentation Techniques (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Geophysical Methods and Applications (4 papers). Shih-chang Wang is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Geophysical Methods and Applications (4 papers). Shih-chang Wang collaborates with scholars based in Singapore, Australia and United States. Shih-chang Wang's co-authors include M. Girgis, Erry Gunawan, Sze Yiun Teo, Yifan Chen, Kay‐Soon Low, C.B. Soh, Glenn T. Gobbel, David L. White, Klaus Roth and Yongmin Kim and has published in prestigious journals such as NeuroImage, IEEE Transactions on Antennas and Propagation and American Journal of Roentgenology.

In The Last Decade

Shih-chang Wang

20 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih-chang Wang Singapore 11 116 96 91 70 56 22 465
Zhao Feng China 13 53 0.5× 97 1.0× 101 1.1× 120 1.7× 14 0.3× 34 623
Yousuke Ogata Japan 12 53 0.5× 71 0.7× 71 0.8× 30 0.4× 126 2.3× 31 551
Ziji Wu United States 10 291 2.5× 64 0.7× 209 2.3× 42 0.6× 15 0.3× 14 660
Tim C. Lei United States 14 89 0.8× 104 1.1× 151 1.7× 174 2.5× 11 0.2× 48 658
Péter Bogner Hungary 15 332 2.9× 166 1.7× 91 1.0× 51 0.7× 4 0.1× 63 799
Wenxiang Ding China 10 54 0.5× 50 0.5× 89 1.0× 55 0.8× 15 0.3× 35 484
Peter D. Esser United States 19 459 4.0× 66 0.7× 151 1.7× 41 0.6× 16 0.3× 55 898
Jia Guo United States 15 221 1.9× 119 1.2× 116 1.3× 80 1.1× 53 0.9× 55 613
Mina Amiri Canada 9 102 0.9× 234 2.4× 46 0.5× 116 1.7× 64 1.1× 16 440
Przemysław Podgórski Poland 12 153 1.3× 32 0.3× 56 0.6× 66 0.9× 5 0.1× 32 389

Countries citing papers authored by Shih-chang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shih-chang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-chang Wang. 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 Shih-chang Wang. The network helps show where Shih-chang Wang may publish in the future.

Co-authorship network of co-authors of Shih-chang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-chang Wang. A scholar is included among the top collaborators of Shih-chang Wang 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 Shih-chang Wang. Shih-chang Wang 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.
Goergen, Stacy, Felicity Jane Pool, Tari Turner, et al.. (2012). Evidence‐based guideline for the written radiology report: Methods, recommendations and implementation challenges. Journal of Medical Imaging and Radiation Oncology. 57(1). 1–7. 29 indexed citations
2.
Hibbert, Kathryn, et al.. (2012). Radiology Education. DIAL (Catholic University of Leuven). 1 indexed citations
3.
Graham, Steven, Elaine Phua, Chun Siong Soon, et al.. (2009). Role of medial cortical, hippocampal and striatal interactions during cognitive set-shifting. NeuroImage. 45(4). 1359–1367. 47 indexed citations
4.
Kassim, Ashraf A., et al.. (2008). A Fast Boundary Tracing Scheme Using Image Patch Classification. National University of Singapore. 787–791. 1 indexed citations
5.
Xiong, Wei, Qi Tian, Jiayin Zhou, et al.. (2008). Semi-automatic Segmentation of Liver Tumors from CT Scans Using Bayesian Rule-based 3D Region Growing. 19 indexed citations
6.
Chen, Yifan, Erry Gunawan, Kay‐Soon Low, et al.. (2008). Time-Reversal Ultrawideband Breast Imaging: Pulse Design Criteria Considering Multiple Tumors With Unknown Tissue Properties. IEEE Transactions on Antennas and Propagation. 56(9). 3073–3077. 27 indexed citations
7.
Xiong, Wei, Jiayin Zhou, Qi Tian, et al.. (2008). Performance benchmarking of liver CT image segmentation and volume estimation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6919. 69190N–69190N. 1 indexed citations
8.
Teo, Sze Yiun & Shih-chang Wang. (2008). Radiologic Features of Polyacrylamide Gel Mammoplasty. American Journal of Roentgenology. 191(3). W89–W95. 25 indexed citations
9.
Chen, Yifan, et al.. (2007). Effect of lesion morphology on microwave signature in ultra-wideband breast imaging: a preliminary two-dimensional investigation. National University of Singapore. 53. 2168–2171. 9 indexed citations
10.
Chen, Yifan, Erry Gunawan, Kay‐Soon Low, et al.. (2007). Pulse Design for Time Reversal Method as Applied to Ultrawideband Microwave Breast Cancer Detection: A Two-Dimensional Analysis. IEEE Transactions on Antennas and Propagation. 55(1). 194–204. 41 indexed citations
11.
Chen, Yifan, Erry Gunawan, Kay‐Soon Low, Shih-chang Wang, & C.B. Soh. (2007). Time-reversal imaging for ultra-wideband breast cancer detection: pulse design criteria considering multiple tumor masses. National University of Singapore. 53. 2164–2167. 1 indexed citations
12.
Liu, Jiang, et al.. (2006). A Set-based Hybrid Approach (SHA) for MRI Segmentation. National University of Singapore. 1–6.
13.
Chen, Kevin, Terrance Chua, Yean Teng Lim, et al.. (2006). Guidelines on Cardiac CT in Singapore (2006). Annals of the Academy of Medicine Singapore. 35(4). 287–296. 1 indexed citations
14.
Wang, Shih-chang, Sughra Raza, M. Kettler, et al.. (2006). Diagnostic Imaging: Breast. Medical Entomology and Zoology. 34 indexed citations
15.
Chhem, Rethy K., Shih-chang Wang, Suphaneewan Jaovisidha, et al.. (2001). Imaging of Fungal, Viral, and Parasitic Musculoskeletal and Spinal Diseases. Radiologic Clinics of North America. 39(2). 357–378. 10 indexed citations
16.
Peh, Wcg, et al.. (1999). Osteogenic sarcoma with skeletal muscle metastases. Skeletal Radiology. 28(5). 298–304. 10 indexed citations
17.
Wang, Shih-chang, et al.. (1996). <title>Measurements of JND property of HVS and its applications to image segmentation, coding, and requantization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2952. 113–121. 5 indexed citations
18.
Moseley, Michael E., David L. White, Shih-chang Wang, et al.. (1989). Vascular Mapping using Albumin-(Gd-DTPA), an Intravascular MR Contrast Agent, and Projection MR Imaging. Journal of Computer Assisted Tomography. 13(2). 215–221. 44 indexed citations
19.
Moseley, Michael E., David L. White, Shih-chang Wang, et al.. (1989). Stereoscopic MR Imaging. Journal of Computer Assisted Tomography. 13(1). 167–173. 9 indexed citations
20.
Girgis, M. & Shih-chang Wang. (1981). A new stereotaxic atlas of the rabbit brain. Medical Entomology and Zoology. 124 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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