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h5 指数:53
h5 中位数:85

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#12 Biomedical Technology

标题/作者	引用次数	年份
Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms AK Anaraki, M Ayati, F Kazemi Biocybernetics and Biomedical Engineering 39 (1), 63-74	375	2019
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach SH Kassania, PH Kassanib, MJ Wesolowskic, KA Schneidera, R Detersa Biocybernetics and Biomedical Engineering 41 (3), 867-879	296	2021
A deep learning approach to detect Covid-19 coronavirus with X-Ray images G Jain, D Mittal, D Thakur, MK Mittal Biocybernetics and Biomedical Engineering 40 (4), 1391-1405	254	2020
Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach PMS Raja Biocybernetics and Biomedical Engineering 40 (1), 440-453	147	2020
Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images RB Hegde, K Prasad, H Hebbar, BMK Singh Biocybernetics and Biomedical Engineering 39 (2), 382-392	141	2019
A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study WT Shi, ZJ Lyu, ST Tang, TL Chia, CY Yang Biocybernetics and Biomedical Engineering 38 (1), 126-135	141	2018
Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier A Subudhi, M Dash, S Sabut Biocybernetics and Biomedical Engineering 40 (1), 277-289	137	2020
A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques M Nilashi, O Ibrahim, H Ahmadi, L Shahmoradi, M Farahmand Biocybernetics and Biomedical Engineering 38 (1), 1-15	136	2018
A review of fabrication polymer scaffolds for biomedical applications using additive manufacturing techniques P Szymczyk-Ziółkowska, MB Łabowska, J Detyna, I Michalak, P Gruber Biocybernetics and Biomedical Engineering 40 (2), 624-638	134	2020
Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis S Ibrahim, R Djemal, A Alsuwailem Biocybernetics and Biomedical Engineering 38 (1), 16-26	132	2018
A comparative analysis of signal processing and classification methods for different applications based on EEG signals A Khosla, P Khandnor, T Chand Biocybernetics and Biomedical Engineering 40 (2), 649-690	129	2020
Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework RK Tripathy, UR Acharya Biocybernetics and Biomedical Engineering 38 (4), 890-902	128	2018
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier B Abraham, MS Nair Biocybernetics and Biomedical Engineering 40 (4), 1436-1445	128	2020
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks M Toğaçar, B Ergen, Z Cömert Biocybernetics and Biomedical Engineering 40 (1), 23-39	121	2020
A survey of machine learning techniques in physiology based mental stress detection systems SS Panicker, P Gayathri Biocybernetics and Biomedical Engineering 39 (2), 444-469	117	2019
Detection of brain tumors from MRI images base on deep learning using hybrid model CNN and NADE R Hashemzehi, SJS Mahdavi, M Kheirabadi, SR Kamel Biocybernetics and Biomedical Engineering 40 (3), 1225-1232	103	2020
Biodegradable bone implants in orthopedic applications: a review G Chandra, A Pandey Biocybernetics and Biomedical Engineering 40 (2), 596-610	103	2020
Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods RO Panicker, KS Kalmady, J Rajan, MK Sabu Biocybernetics and Biomedical Engineering 38 (3), 691-699	99	2018
Parkinson disease prediction using intrinsic mode function based features from speech signal B Karan, SS Sahu, K Mahto Biocybernetics and Biomedical Engineering 40 (1), 249-264	99	2020
Accurate prediction of continuous blood glucose based on support vector regression and differential evolution algorithm T Hamdi, JB Ali, V Di Costanzo, F Fnaiech, E Moreau, JM Ginoux Biocybernetics and Biomedical Engineering 38 (2), 362-372	96	2018

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