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Journal of Theoretical & Computational Science
Open Access

ISSN: 2376-130X

+44 1223 790975

Journal of Theoretical & Computational Science : Citations & Metrics Report

Articles published in Journal of Theoretical & Computational Science have been cited by esteemed scholars and scientists all around the world. Journal of Theoretical & Computational Science has got h-index 11, which means every article in Journal of Theoretical & Computational Science has got 11 average citations.

Following are the list of articles that have cited the articles published in Journal of Theoretical & Computational Science.

	2021	2020	2019	2018	2017
Year wise published articles	32	21	2	0	11
Year wise citations received	61	83	45	37	22

Journal total citations count	385
Journal impact factor	3.48
Journal 5 years impact factor	5.01
Journal cite score	4.07
Journal h-index	11
Journal h-index since 2018	9

Important citations (283)

prediction of joint space narrowing progression in knee osteoarthritis patients View at Publisher View at Google Scholar View at Indexing
Ai msk clinical applications: cartilage and osteoarthritis View at Publisher View at Google Scholar View at Indexing
Validation of knee kl-classifying deep neural network with finnish patient data View at Publisher View at Google Scholar View at Indexing
A novel hybrid approach based on deep cnn features to detect knee osteoarthritis View at Publisher View at Google Scholar View at Indexing
Predisposition for knee osteoarthritis in portuguese adults with obesity View at Publisher View at Google Scholar View at Indexing
Comparison of machine learning methods for predicting modified total shape score in x-ray radiography View at Publisher View at Google Scholar View at Indexing
Integrating dynamic simulation modeling to assess pathophysiology of arthritis View at Publisher View at Google Scholar View at Indexing
Deep learning for knee osteoarthritis diagnosis and progression prediction from plain radiographs and clinical data View at Publisher View at Google Scholar View at Indexing
Deepoa: clinical decision support system for early detection and severity grading of knee osteoarthritis View at Publisher View at Google Scholar View at Indexing
Deep learning improves predictions of the need for total knee replacement View at Publisher View at Google Scholar View at Indexing
can additional patient information improve the diagnostic performance of deep learning for the interpretation of knee osteoarthritis severity View at Publisher View at Google Scholar View at Indexing
A comparative analysis of automatic classification and grading methods for knee osteoarthritis focussing on x-ray images View at Publisher View at Google Scholar View at Indexing
Identifying robust risk factors for knee osteoarthritis progression: an evolutionary machine learning approach View at Publisher View at Google Scholar View at Indexing
Machine learning-based automatic classification of knee osteoarthritis severity using gait data and radiographic images View at Publisher View at Google Scholar View at Indexing
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients View at Publisher View at Google Scholar View at Indexing
The use of artificial intelligence in the evaluation of knee pathology View at Publisher View at Google Scholar View at Indexing
Prediction of pain in knee osteoarthritis patients using machine learning: data from osteoarthritis initiative View at Publisher View at Google Scholar View at Indexing
Identification of risk factors and machine learning-based prediction models for knee osteoarthritis patients View at Publisher View at Google Scholar View at Indexing
A lightweight cnn and joint shape-joint space (js2) descriptor for radiological osteoarthritis detection View at Publisher View at Google Scholar View at Indexing
Feature learning to automatically assess radiographic knee osteoarthritis severity View at Publisher View at Google Scholar View at Indexing
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