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h5 指数:72
h5 中位数:117

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 2017-2021 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 Computer Vision & Pattern Recognition

标题/作者	引用次数	年份
Deep learning for sensor-based activity recognition: A survey J Wang, Y Chen, S Hao, X Peng, L Hu Pattern Recognition Letters 119, 3-11	1264	2019
A survey of recent advances in CNN-based single image crowd counting and density estimation VA Sindagi, VM Patel Pattern Recognition Letters 107, 3-16	437	2018
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images P Afshar, S Heidarian, F Naderkhani, A Oikonomou, KN Plataniotis, ... Pattern Recognition Letters 138, 638-643	399	2020
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning SU Khan, N Islam, Z Jan, IU Din, JJPC Rodrigues Pattern Recognition Letters 125, 1-6	376	2019
A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension M Sharma, RB Pachori, UR Acharya Pattern Recognition Letters 94, 172-179	294	2017
Interactive deep learning method for segmenting moving objects Y Wang, Z Luo, PM Jodoin Pattern Recognition Letters 96, 66-75	274	2017
Classification of focal and non focal EEG using entropies N Arunkumar, K Ramkumar, V Venkatraman, E Abdulhay, SL Fernandes, ... Pattern Recognition Letters 94, 112-117	231	2017
Deep-ECG: Convolutional Neural Networks for ECG biometric recognition RD Labati, E Muñoz, V Piuri, R Sassi, F Scotti Pattern Recognition Letters 126, 78-85	219	2019
Foreground segmentation using convolutional neural networks for multiscale feature encoding LA Lim, HY Keles Pattern Recognition Letters 112, 256-262	218	2018
Classification of myocardial infarction with multi-lead ECG signals and deep CNN UB Baloglu, M Talo, O Yildirim, R San Tan, UR Acharya Pattern Recognition Letters 122, 23-30	214	2019
A study of deep convolutional auto-encoders for anomaly detection in videos M Ribeiro, AE Lazzaretti, HS Lopes Pattern Recognition Letters 105, 13-22	208	2018
Entropy based segmentation of tumor from brain MR images–a study with teaching learning based optimization V Rajinikanth, SC Satapathy, SL Fernandes, S Nachiappan Pattern Recognition Letters 94, 87-95	199	2017
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images A Bhandary, GA Prabhu, V Rajinikanth, KP Thanaraj, SC Satapathy, ... Pattern Recognition Letters 129, 271-278	192	2020
A note on the triangle inequality for the Jaccard distance S Kosub Pattern Recognition Letters 120, 36-38	188	2019
A distinctive approach in brain tumor detection and classification using MRI J Amin, M Sharif, M Yasmin, SL Fernandes Pattern Recognition Letters 139, 118-127	183	2020
Hybrid deep neural networks for face emotion recognition N Jain, S Kumar, A Kumar, P Shamsolmoali, M Zareapoor Pattern Recognition Letters 115, 101-106	183	2018
Coupled HMM-based multi-sensor data fusion for sign language recognition P Kumar, H Gauba, PP Roy, DP Dogra Pattern Recognition Letters 86, 1-8	177	2017
LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement C Li, J Guo, F Porikli, Y Pang Pattern Recognition Letters 104, 15-22	174	2018
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model K Shankar, ARW Sait, D Gupta, SK Lakshmanaprabu, A Khanna, ... Pattern Recognition Letters 133, 210-216	168	2020
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data A Asvadi, L Garrote, C Premebida, P Peixoto, UJ Nunes Pattern Recognition Letters 115, 20-29	166	2018

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