Ruida Cheng
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Medical Image Segmentation Techniques 10
- Advanced Neural Network Applications 7
- Visual Attention and Saliency Detection 1
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- Medical Imaging and Analysis 4
- Co-authors
- Evan McCreedy (14 shared papers)Matthew McAuliffe (15 shared papers)William Gandler (11 shared papers)Barış Türkbey (10 shared papers)Peter L. Choyke (10 shared papers)Ronald M. Summers (6 shared papers)Holger R. Roth (5 shared papers)Bradford J. Wood (2 shared papers)
- Journals
- Magnetic Resonance in Medicine (1 paper)Journal of Vascular and Interventional Radiology (1 paper)Medical Physics (1 paper)Lecture notes in computer science (2 papers)Journal of Medical Imaging (2 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Ruida Cheng
15 papers receiving 348 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 10
- Hepatology 31
- Radiology, Nuclear Medicine and Imaging 87
- Computer Vision and Pattern Recognition 90
- Radiation 32
Countries citing papers authored by Ruida Cheng
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
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-authors
The 25 scholars most cited alongside Ruida Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 124 | |
| 2 | 2017 | 58 | |
| 3 | 2016 | 41 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2014 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2018 | 5 | |
| 12 | 2013 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2013 | 1 | |
| 15 | 2008 | 1 | |
| 16 | 2012 | 0 |
About Ruida Cheng
Ruida Cheng is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 16 papers that have together received 354 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Advanced Neural Network Applications (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Medical Imaging and Analysis (4 papers), 3D Shape Modeling and Analysis (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Visual Attention and Saliency Detection (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Health Informatics (10 citations), Hepatology (31 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Computer Vision and Pattern Recognition (90 citations) and Radiation (32 citations). Ruida Cheng has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Evan McCreedy, Matthew McAuliffe, William Gandler, Barış Türkbey, Peter L. Choyke, Ronald M. Summers, Holger R. Roth, Bradford J. Wood, Le Lü and Jochen Kruecker. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Vascular and Interventional Radiology, Medical Physics, Lecture notes in computer science and Journal of Medical Imaging.
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.