Ruola Ning

2.3k total citations
108 papers, 1.8k citations indexed

About

Ruola Ning is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruola Ning has authored 108 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Radiology, Nuclear Medicine and Imaging, 72 papers in Biomedical Engineering and 49 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruola Ning's work include Medical Imaging Techniques and Applications (82 papers), Advanced X-ray and CT Imaging (71 papers) and Digital Radiography and Breast Imaging (43 papers). Ruola Ning is often cited by papers focused on Medical Imaging Techniques and Applications (82 papers), Advanced X-ray and CT Imaging (71 papers) and Digital Radiography and Breast Imaging (43 papers). Ruola Ning collaborates with scholars based in United States, China and Japan. Ruola Ning's co-authors include David L. Conover, Xiangyang Tang, Biao Chen, Zikuan Chen, Yan Zhang, Avice M. O’Connell, Jianhui Zhong, Lawrence G. Sahler, Posy Seifert and Robert A. Kruger and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Ruola Ning

105 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruola Ning United States 21 1.5k 1.1k 787 295 190 108 1.8k
David L. Conover United States 22 1.2k 0.8× 1.0k 0.9× 735 0.9× 194 0.7× 96 0.5× 108 2.0k
Wouter J. H. Veldkamp Netherlands 22 1.2k 0.8× 834 0.7× 530 0.7× 87 0.3× 115 0.6× 66 1.6k
A.N.T.J. Kotte Netherlands 24 1.3k 0.9× 899 0.8× 830 1.1× 1.1k 3.7× 281 1.5× 71 2.5k
Maria Francesca Spadea Italy 24 859 0.6× 422 0.4× 496 0.6× 770 2.6× 157 0.8× 75 1.5k
Hossein Arabi Switzerland 35 2.4k 1.6× 1.2k 1.0× 350 0.4× 516 1.7× 306 1.6× 140 2.8k
J. Webster Stayman United States 31 2.7k 1.8× 2.6k 2.2× 361 0.5× 639 2.2× 280 1.5× 237 3.6k
Jun Zhou United States 22 933 0.6× 463 0.4× 751 1.0× 820 2.8× 204 1.1× 121 1.6k
Jifke F. Veenland Netherlands 22 733 0.5× 342 0.3× 418 0.5× 99 0.3× 136 0.7× 51 1.4k
J OˈDaniel United States 22 1.6k 1.1× 735 0.6× 992 1.3× 1.8k 6.1× 226 1.2× 54 2.5k
Laura Cerviño United States 25 1.5k 1.0× 493 0.4× 826 1.0× 1.3k 4.5× 114 0.6× 110 2.0k

Countries citing papers authored by Ruola Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ruola Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruola Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Ruola Ning. A scholar is included among the top collaborators of Ruola Ning 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 Ruola Ning. Ruola Ning 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.
Xie, Huidong, Hongming Shan, Wenxiang Cong, et al.. (2020). Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction. IEEE Access. 8. 196633–196646. 32 indexed citations
2.
Zhao, Binghui, et al.. (2014). Cone beam breast CT with multiplanar and three dimensional visualization in differentiating breast masses compared with mammography. European Journal of Radiology. 84(1). 48–53. 47 indexed citations
3.
Yu, Yang, et al.. (2012). Investigation of source grating stepping for differential phase-contrast cone-beam CT (DPC-CBCT) system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 83132S–83132S. 1 indexed citations
4.
Yu, Yang, et al.. (2012). Performance investigation of a hospital-grade x-ray tube-based differential phase-contrast cone beam CT system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 83134F–83134F. 3 indexed citations
5.
Zhao, Binghui, et al.. (2012). Dynamic cone beam CT angiography of carotid and cerebral arteries using canine model. Medical Physics. 39(1). 543–553. 4 indexed citations
6.
Ning, Ruola, et al.. (2012). Enhancement of breast calcification visualization and detection using a modified PG method in Cone Beam Breast CT. Journal of X-Ray Science and Technology. 20(1). 107–120. 3 indexed citations
7.
Ning, Ruola, et al.. (2009). Feasibility study of phase-contrast cone beam CT imaging systems. UR Research (University of Rochester). 3 indexed citations
8.
Yang, Dong, et al.. (2009). Circle Plus Partial Helical Scan Scheme for a Flat Panel Detector‐Based Cone Beam Breast X‐Ray CT. International Journal of Biomedical Imaging. 2009(1). 637867–637867. 4 indexed citations
9.
Chen, Zikuan & Ruola Ning. (2006). Volume fusion for two-circular-orbit cone-beam tomography. Applied Optics. 45(23). 5960–5960. 2 indexed citations
10.
Conover, David L., Jiaoti Huang, Edward M. Messing, et al.. (2006). Early detection and measurement of urothelial tumors in mice. Urology. 67(6). 1309–1314. 12 indexed citations
11.
Chen, Zikuan & Ruola Ning. (2003). Why should breast tumour detection go three dimensional?. Physics in Medicine and Biology. 48(14). 2217–2228. 37 indexed citations
12.
Chen, Biao & Ruola Ning. (2002). Cone‐beam volume CT breast imaging: Feasibility study. Medical Physics. 29(5). 755–770. 220 indexed citations
13.
Ning, Ruola, Xiaohui Wang, David L. Conover, & Ying Zhang. (2001). Image distortion-correction for image intensifier-based volume tomographic angiography. Journal of X-Ray Science and Technology. 9(2). 55–75. 1 indexed citations
14.
15.
Wang, Xiaohui & Ruola Ning. (1999). A cone-beam reconstruction algorithm for circle-plus-arc data-acquisition geometry. IEEE Transactions on Medical Imaging. 18(9). 815–824. 33 indexed citations
16.
Ning, Ruola, et al.. (1997). <title>Image-intensifier-based volume tomographic angiography imaging system</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3032. 238–246. 12 indexed citations
17.
Morris, T. W., et al.. (1996). Osmolality of contrast media affects opacification during renal arteriography. Academic Radiology. 3. S251–S253. 1 indexed citations
18.
Ning, Ruola & Robert A. Kruger. (1996). Image intensifier-based computed tomography volume scanner for angiography. Academic Radiology. 3(4). 344–350. 27 indexed citations
19.
Ning, Ruola & Robert A. Kruger. (1988). Computer simulation of image intensifier‐based computed tomography detector: Vascular application. Medical Physics. 15(2). 188–192. 18 indexed citations
20.
Kruger, Robert A., Daniel R. Reinecke, Steven W. Smith, & Ruola Ning. (1987). Reconstruction of blood vessels from x‐ray subtraction projections: Limited angle geometry. Medical Physics. 14(6). 940–949. 10 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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