Chengwen Chu

1.2k total citations
13 papers, 806 citations indexed

About

Chengwen Chu is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chengwen Chu has authored 13 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Surgery and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chengwen Chu's work include Medical Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Chengwen Chu is often cited by papers focused on Medical Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Chengwen Chu collaborates with scholars based in Switzerland, Japan and United Kingdom. Chengwen Chu's co-authors include Guoyan Zheng, Kensaku Mori, Daniel Rueckert, Kazunari Misawa, Michitaka Fujiwara, Robin Wolz, Dieter Felsenberg, Daniel L. Belavý, Martin Bansmann and Gabriele Armbrecht and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Chengwen Chu

13 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengwen Chu Switzerland 11 359 357 319 179 152 13 806
Christian Payer Austria 11 213 0.6× 111 0.3× 169 0.5× 138 0.8× 88 0.6× 20 640
C. L. Benhamou France 11 141 0.4× 80 0.2× 167 0.5× 79 0.4× 130 0.9× 19 699
Bingjiang Qiu China 12 120 0.3× 104 0.3× 194 0.6× 114 0.6× 38 0.3× 23 484
Alan Brett United Kingdom 19 294 0.8× 157 0.4× 182 0.6× 50 0.3× 427 2.8× 47 1.1k
Brent J. Liu United States 10 85 0.2× 97 0.3× 190 0.6× 76 0.4× 43 0.3× 74 550
Jeroen Bertels Belgium 10 114 0.3× 127 0.4× 210 0.7× 124 0.7× 29 0.2× 15 527
Michael Suehling Germany 14 276 0.8× 212 0.6× 365 1.1× 60 0.3× 124 0.8× 28 727
Serena Bonaretti United States 12 135 0.4× 139 0.4× 134 0.4× 14 0.1× 147 1.0× 21 498
Byoung-Dai Lee South Korea 12 106 0.3× 104 0.3× 200 0.6× 66 0.4× 35 0.2× 51 501

Countries citing papers authored by Chengwen Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chengwen Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwen Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengwen Chu. A scholar is included among the top collaborators of Chengwen Chu 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 Chengwen Chu. Chengwen Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Oda, Masahiro, Takayuki Kitasaka, Kazunari Misawa, et al.. (2017). Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. Medical Image Analysis. 39. 18–28. 68 indexed citations
2.
Yu, Weimin, Chengwen Chu, Moritz Tannast, & Guoyan Zheng. (2016). Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D X-ray images. International Journal of Computer Assisted Radiology and Surgery. 11(9). 1673–1685. 22 indexed citations
3.
Chu, Chengwen, et al.. (2016). Statistical shape modeling of compound musculoskeletal structures around the thigh region. 3. 885–888. 1 indexed citations
4.
Chu, Chengwen, Junjie Bai, Xiaodong Wu, & Guoyan Zheng. (2015). MASCG: Multi-Atlas Segmentation Constrained Graph method for accurate segmentation of hip CT images. Medical Image Analysis. 26(1). 173–184. 39 indexed citations
5.
Chu, Chengwen, Daniel L. Belavý, Gabriele Armbrecht, et al.. (2015). Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method. PLoS ONE. 10(11). e0143327–e0143327. 88 indexed citations
6.
Wang, Ching‐Wei, Chung-Hsing Li, Sheng‐Wei Chang, et al.. (2015). Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Transactions on Medical Imaging. 34(9). 1890–1900. 149 indexed citations
7.
Chen, Cheng, Daniel L. Belavý, Weimin Yu, et al.. (2015). Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation. IEEE Transactions on Medical Imaging. 34(8). 1719–1729. 39 indexed citations
8.
Chu, Chengwen, Cheng Chen, Li Liu, & Guoyan Zheng. (2014). FACTS: Fully Automatic CT Segmentation of a Hip Joint. Annals of Biomedical Engineering. 43(5). 1247–1259. 46 indexed citations
9.
Wolz, Robin, Chengwen Chu, Kazunari Misawa, et al.. (2013). Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation. IEEE Transactions on Medical Imaging. 32(9). 1723–1730. 195 indexed citations
10.
Chu, Chengwen, Masahiro Oda, Takayuki Kitasaka, et al.. (2013). Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images. Lecture notes in computer science. 16(Pt 2). 165–172. 86 indexed citations
11.
Chu, Chengwen, Masahiro Oda, Takayuki Kitasaka, et al.. (2013). Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86693Y–86693Y. 15 indexed citations
12.
Wolz, Robin, Chengwen Chu, Kazunari Misawa, Kensaku Mori, & Daniel Rueckert. (2012). Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. Lecture notes in computer science. 15(Pt 1). 10–17. 57 indexed citations
13.
Chu, Chengwen, et al.. (2011). A Study on Multi Organ Segmentation from 3D CT Images Using Likelihood Atlases of Organ Existence Constructed by using Affinity Propagation Technique. IEICE technical report. Speech. 111(331). 61–66. 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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