Ruida Cheng

443 total citations
14 papers, 309 citations indexed

About

Ruida Cheng is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruida Cheng has authored 14 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruida Cheng's work include Medical Image Segmentation Techniques (9 papers), Advanced Neural Network Applications (7 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Ruida Cheng is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Advanced Neural Network Applications (7 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Ruida Cheng collaborates with scholars based in United States, Australia and Spain. Ruida Cheng's co-authors include Matthew McAuliffe, Evan McCreedy, William Gandler, Barış Türkbey, Peter L. Choyke, Holger R. Roth, Ronald M. Summers, Le Lü, Julia K. Locklin and Bradford J. Wood and has published in prestigious journals such as Magnetic Resonance in Medicine, Medical Physics and Journal of Vascular and Interventional Radiology.

In The Last Decade

Ruida Cheng

12 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruida Cheng United States 9 143 106 95 94 44 14 309
Tobias Hepp Germany 12 86 0.6× 263 2.5× 69 0.7× 54 0.6× 89 2.0× 26 405
Vincent Daanen France 11 159 1.1× 155 1.5× 174 1.8× 203 2.2× 39 0.9× 15 427
David Robben Belgium 10 107 0.7× 191 1.8× 132 1.4× 79 0.8× 36 0.8× 18 404
R.G. Aarnink Netherlands 11 82 0.6× 107 1.0× 281 3.0× 124 1.3× 64 1.5× 21 460
Phillip K Edwards United States 6 115 0.8× 216 2.0× 30 0.3× 64 0.7× 20 0.5× 9 332
U. Scheipers Germany 8 183 1.3× 281 2.7× 114 1.2× 60 0.6× 75 1.7× 24 436
Minglei Yang China 11 46 0.3× 160 1.5× 99 1.0× 38 0.4× 80 1.8× 35 292
Golnoosh Samei Switzerland 8 87 0.6× 92 0.9× 70 0.7× 94 1.0× 39 0.9× 17 227
Matthias Thorn Germany 9 75 0.5× 115 1.1× 96 1.0× 89 0.9× 24 0.5× 18 349
Adolf Lorenz Germany 8 86 0.6× 152 1.4× 30 0.3× 56 0.6× 57 1.3× 8 321

Countries citing papers authored by Ruida Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ruida Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruida Cheng

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

All Works

14 of 14 papers shown
1.
Cheng, Ruida, François Hug, Kylie Tucker, et al.. (2021). Automatic quadriceps and patellae segmentation of MRI with cascaded U2‐Net and SASSNet deep learning model. Medical Physics. 49(1). 443–460. 9 indexed citations
2.
Cheng, Ruida, Nathan Lay, Holger R. Roth, et al.. (2019). Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections. Journal of Medical Imaging. 6(2). 1–1. 18 indexed citations
3.
4.
Cheng, Ruida, Holger R. Roth, Nathan Lay, et al.. (2017). Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks. Journal of Medical Imaging. 4(4). 1–1. 55 indexed citations
5.
Cheng, Ruida, Holger R. Roth, Nathan Lay, et al.. (2017). Automatic MR prostate segmentation by deep learning with holistically-nested networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10133. 101332H–101332H. 9 indexed citations
6.
Cheng, Ruida, Nathan Lay, Francesca Mertan, et al.. (2017). Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. 749–753. 17 indexed citations
7.
Cheng, Ruida, Holger R. Roth, Le Lü, et al.. (2016). Active appearance model and deep learning for more accurate prostate segmentation on MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 97842I–97842I. 38 indexed citations
8.
Cheng, Ruida, Evan McCreedy, William Gandler, et al.. (2016). Patellar segmentation from 3D magnetic resonance images using guided recursive ray-tracing for edge pattern detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9788. 97880C–97880C. 2 indexed citations
9.
Cheng, Ruida, Barış Türkbey, William Gandler, et al.. (2014). Atlas based AAM and SVM model for fully automatic MRI prostate segmentation. PubMed. 6367. 2881–2585. 15 indexed citations
10.
Cheng, Ruida, Marcelino Bernardo, Alexandra Bokinsky, et al.. (2013). Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis. Zenodo (CERN European Organization for Nuclear Research). 8314. 185–189.
11.
Cheng, Ruida, Barış Türkbey, Marcelino Bernardo, et al.. (2013). 2D registration guided models for semi-automatic MRI prostate segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86692V–86692V. 2 indexed citations
12.
13.
Cheng, Ruida, Alexandra Bokinsky, Paul F. Hemler, Evan McCreedy, & Matthew McAuliffe. (2008). Java based volume rendering frameworks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6918. 691804–691804. 1 indexed citations
14.
Wood, Bradford J., Julia K. Locklin, Anand Viswanathan, et al.. (2007). Technologies for Guidance of Radiofrequency Ablation in the Multimodality Interventional Suite of the Future. Journal of Vascular and Interventional Radiology. 18(1). 9–24. 111 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 Tobias Hepp Breakdown of academic impact, for papers by Vincent Daanen Breakdown of academic impact, for papers by David Robben Breakdown of academic impact, for papers by R.G. Aarnink Breakdown of academic impact, for papers by Phillip K Edwards Breakdown of academic impact, for papers by U. Scheipers Breakdown of academic impact, for papers by Minglei Yang Breakdown of academic impact, for papers by Golnoosh Samei Breakdown of academic impact, for papers by Matthias Thorn Breakdown of academic impact, for papers by Adolf Lorenz
Rankless by CCL
2026