ISSN:2167-7964
OMICS Journal of Radiology
Open Access
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Google Scholar citation report
Citations : 551
OMICS Journal of Radiology received 551 citations as per Google Scholar report
OMICS Journal of Radiology peer review process verified at publons
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OMICS Journal of Radiology : Citations & Metrics Report
Articles published in OMICS Journal of Radiology have been cited by esteemed scholars and scientists all around the world. OMICS Journal of Radiology has got h-index 10, which means every article in OMICS Journal of Radiology has got 10 average citations.
Following are the list of articles that have cited the articles published in OMICS Journal of Radiology.
| 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | |
|---|---|---|---|---|---|---|---|---|
Year wise published articles |
107 | 60 | 60 | 21 | 15 | 19 | 43 | 41 |
Year wise citations received |
30 | 149 | 153 | 164 | 154 | 108 | 103 | 101 |
| Journal total citations count | 551 |
| Journal impact factor | 2.99 |
| Journal 5 years impact factor | 4.66 |
| Journal cite score | 4.52 |
| Journal h-index | 10 |
| Journal h-index since 2018 | 10 |
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Rahman, J. S. U., Selvaperumal, S. K., & Logeswaran, R. HYBRID METHOD OF MRI BRAIN SEGMENTATION USING FUZZY K-MEANS. European Journal of Molecular & Clinical Medicine, 7(11), 2020. |
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Shea, J. G., & Ragade, R. K. (1993, September). Virtual prototyping, object-oriented modeling and intelligent knowledge capture for system design. In 1993 4th Annual Conference on AI, Simulation and Planning in High Autonomy Systems (pp. 23-30). IEEE. |
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Abdelaziz, S., & Lu, S. (2019). K-means algorithm with level set for brain tumor segmentation. Indonesian Journal of Electrical Engineering and Computer Science, 15(2), 991-1000. |
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Lazli, L., & Boukadoum, M. (2017, June). Brain tissues volumes assessment by fuzzy genetic optimization based possibilistic clustering: Application to Alzheimer patients images. In 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC) (pp. 112-118). IEEE. |
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Wang, X., & Zhao, J. (2017). Hierarchical non?parametric Markov random field for image segmentation. IET Computer vision, 11(8), 717-724. |
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Deepa, A. R., & Sam Emmanuel, W. R. M. (2016). Identification and classification of brain tumor through mixture model based on magnetic resonance imaging segmentation and artificial neural network. Concepts in Magnetic Resonance Part A, 45(2), e21390. |
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Meedeniya, D., & Rubasinghe, I. (2020). A review of supportive computational approaches for neurological disorder identification. Interdisciplinary Approaches to Altering Neurodevelopmental Disorders, 271-302. |
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Ahmadvand, A., Yousefi, S., & Manzuri Shalmani, M. T. (2017). A novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain segmentation. International Journal of Imaging Systems and Technology, 27(1), 78-88. |
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Rubasinghe, I. D., & Meedeniya, D. A. (2020). Automated neuroscience decision support framework. In Deep Learning Techniques for Biomedical and Health Informatics (pp. 305-326). Academic Press. |
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Maitra, M. (2019). 3D unsupervised modified spatial fuzzy c-means method for segmentation of 3D brain MR image. Pattern Analysis and Applications, 22(4), 1561-1571. |
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Lv, Z., Liu, T., Wan, Y., Benediktsson, J. A., & Zhang, X. (2018). Post-processing approach for refining raw land cover change detection of very high-resolution remote sensing images. Remote Sensing, 10(3), 472. |
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Cai, Q., Liu, H., Zhou, S., Sun, J., & Li, J. (2018). An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation. Pattern Recognition, 82, 79-93. |
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Joy, K. A., Szewczyk, B. S., Adamo, M. A., & Whyte, M. C. (2020). Ischemic bowel secondary to ventriculoperitoneal shunt knotting: a surprisingly rare complication of ventriculoperitoneal shunting. Case report. Journal of Neurosurgery: Pediatrics, 25(5), 470-475. |
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Burhan, B., Serdar, K. B., Abdurrahman, A., Edip, A. M., & Ebuzer, D. (2018). Abdominal complications of ventriculoperitoneal shunt in pediatric patients: experiences of a pediatric surgery clinic. World neurosurgery, 118, e129-e136. |
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Tyagi, N., & Hunt, M. (2019). Treatment Planning Considerations for Prostate SBRT and MRI Based Planning. In Stereotactic Radiosurgery for Prostate Cancer (pp. 17-41). Springer, Cham. |
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Chen, L. C., Hung, S. K., Lee, M. S., Chiou, W. Y., Shen, B. J., Shih, Y. T., ... & Lin, H. Y. (2016). ORAL CANCER PATIENT WITH AN UNRESECTABLE LUNG OLIGOMETASTASIS SUCCESSFULLY TREATED BY STEREOTACTIC ABLATIVE RADIOTHERAPY (SABR) WITH SIMULTANEOUSLY INTEGRATED INNER-ESCALATED BOOST (SIEB): A CASE REPORT. ????????, 23(3), 191-203. |
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Chan, J. K. C. (2020). Hypofractionated dose painting radiotherapy for prostate adenocarcinoma. The University of Liverpool (United Kingdom). |
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Castelluci, P., Fanti, S., Bracci, S., Panebianco, V., Morganti, A. G., & Frakulli, R. (2020). T Staging and Target Volume Definition by Imaging in GU Tumors. In Imaging and Interventional Radiology for Radiation Oncology (pp. 221-254). Springer, Cham. |
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Georg, D. D. D. (2016). Stephan Helmuth Polanec MD (Doctoral dissertation, Medical University of Vienna). |
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Rishika, D. Research & Reviews: Journal of Medical and Health Sciences. |
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