Stephen Chang

872 total citations · 1 hit paper
20 papers, 577 citations indexed

About

Stephen Chang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery. According to data from OpenAlex, Stephen Chang has authored 20 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Stephen Chang's work include Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (5 papers) and Augmented Reality Applications (4 papers). Stephen Chang is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (5 papers) and Augmented Reality Applications (4 papers). Stephen Chang collaborates with scholars based in Singapore, Japan and China. Stephen Chang's co-authors include Chee‐Kong Chui, Bing Nan Li, Sim Heng Ong, Margaret H. Pui, Jing Qin, Rong Wen, Davide Lomanto, Kah Bin Lim, L. Yang and Zimei Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Theoretical Biology.

In The Last Decade

Stephen Chang

19 papers receiving 551 citations

Hit Papers

Integrating spatial fuzzy... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Chang Singapore 9 318 129 117 114 90 20 577
Mohammed Yusuf Ansari Qatar 13 178 0.6× 251 1.9× 164 1.4× 162 1.4× 43 0.5× 21 696
Klaus D. Toennies Germany 11 378 1.2× 145 1.1× 124 1.1× 82 0.7× 26 0.3× 40 630
Shawn Lankton United States 6 703 2.2× 235 1.8× 147 1.3× 96 0.8× 35 0.4× 11 958
Jichen Yang United States 6 145 0.5× 155 1.2× 107 0.9× 70 0.6× 41 0.5× 19 481
Saeid Asgari Taghanaki Canada 6 340 1.1× 246 1.9× 287 2.5× 102 0.9× 26 0.3× 8 729
Giuseppe Coppini Italy 17 292 0.9× 322 2.5× 227 1.9× 142 1.2× 91 1.0× 51 899
Ivan Cruz‐Aceves Mexico 15 314 1.0× 303 2.3× 113 1.0× 98 0.9× 93 1.0× 52 656
Zhennan Yan United States 13 205 0.6× 281 2.2× 228 1.9× 131 1.1× 37 0.4× 37 616
Dzhoshkun I. Shakir United Kingdom 9 160 0.5× 221 1.7× 131 1.1× 105 0.9× 39 0.4× 22 532

Countries citing papers authored by Stephen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Chang. A scholar is included among the top collaborators of Stephen Chang 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 Stephen Chang. Stephen Chang 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
2.
Duan, Bin, Rong Wen, Chin-Boon Chng, et al.. (2015). Image-guided robotic system for radiofrequency ablation of large liver tumor with single incision. 15. 284–289. 9 indexed citations
3.
Chui, Chee‐Kong, et al.. (2013). Influence of Dynamic Shadowing on 2D and 3D Laparoscopic Visualization Under Visible Light and Infrared Light. Journal of Laparoendoscopic & Advanced Surgical Techniques. 23(7). 561–569. 1 indexed citations
4.
Yang, Tao, et al.. (2013). Robotic learning of motion using demonstrations and statistical models for surgical simulation. International Journal of Computer Assisted Radiology and Surgery. 9(5). 813–823. 5 indexed citations
5.
Li, Bing Nan, Chee‐Kong Chui, Sim Heng Ong, et al.. (2012). Modeling shear modulus distribution in magnetic resonance elastography with piecewise constant level sets. Magnetic Resonance Imaging. 30(3). 390–401. 18 indexed citations
6.
Chang, Stephen, et al.. (2012). Single-Port Laparoscopic Spleen Preserving Distal Pancreatectomy. SHILAP Revista de lepidopterología. 2012. 1–4. 23 indexed citations
7.
Wen, Rong, Chin-Boon Chng, Chee‐Kong Chui, et al.. (2012). Robot-assisted RF ablation with interactive planning and mixed reality guidance. National University of Singapore. 6 indexed citations
8.
Li, Bing Nan, Chee‐Kong Chui, Stephen Chang, & Sim Heng Ong. (2012). A new unified level set method for semi-automatic liver tumor segmentation on contrast-enhanced CT images. Expert Systems with Applications. 39(10). 9661–9668. 76 indexed citations
9.
Chui, Chee‐Kong, et al.. (2011). Quasi-linear viscoelastic modeling of arterial wall for surgical simulation. International Journal of Computer Assisted Radiology and Surgery. 6(6). 829–838. 19 indexed citations
10.
Chang, Stephen, et al.. (2011). Vascularised porcine liver model for surgical training. Medical Education. 45(5). 520–520. 5 indexed citations
11.
Qin, Jing, Jing Zhang, Chee‐Kong Chui, et al.. (2011). A simulation framework for estimating wall stress distribution of abdominal aortic aneurysm. PubMed. 2011. 900–903. 1 indexed citations
12.
Wu, Zimei, Chee‐Kong Chui, Geok Soon Hong, & Stephen Chang. (2011). Physiological analysis on oscillatory behavior of glucose–insulin regulation by model with delays. Journal of Theoretical Biology. 280(1). 1–9. 20 indexed citations
13.
Su, Yi, Weimin Huang, Jiayin Zhou, et al.. (2011). Rapid Generation of Patient-specific Anatomical Models for Usage in Virtual Environment. Computer-Aided Design and Applications. 8(6). 927–938. 2 indexed citations
14.
Chui, Chee‐Kong, Chin-Boon Chng, Tao Yang, et al.. (2011). Learning laparoscopic surgery by imitation using robot trainer. National University of Singapore. 20. 2981–2986. 3 indexed citations
15.
Yang, L., Rong Wen, Jing Qin, et al.. (2010). A Robotic System for Overlapping Radiofrequency Ablation in Large Tumor Treatment. IEEE/ASME Transactions on Mechatronics. 15(6). 887–897. 38 indexed citations
16.
Li, Bing Nan, Chee‐Kong Chui, Stephen Chang, & Sim Heng Ong. (2010). Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation. Computers in Biology and Medicine. 41(1). 1–10. 315 indexed citations breakdown →
17.
Zhou, Jiayin, et al.. (2010). Segmentation of gallbladder from CT images for a surgical training system. 2010 3rd International Conference on Biomedical Engineering and Informatics. 536–540. 7 indexed citations
18.
Chang, Stephen, et al.. (2008). Modeling and simulation of tissue/device interaction using standard viscoelastic model. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. 269. 3542–3547. 1 indexed citations
19.
Yeo, Matthew Sze‐Wei, et al.. (2008). Postoperative chylous ascites: An institutional experience over two years. Surgical Practice. 12(4). 133–136. 1 indexed citations
20.
Pui, Margaret H. & Stephen Chang. (1996). Comparison of inversion recovery fast spin-echo (FSE) with T2-weighted fat-saturated FSE and T1-weighted MR imaging in bone marrow lesion detection. Skeletal Radiology. 25(2). 149–152. 27 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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