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h5 指数:91
h5 中位数:139

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

#17 Artificial Intelligence

标题/作者	引用次数	年份
Continual lifelong learning with neural networks: A review GI Parisi, R Kemker, JL Part, C Kanan, S Wermter Neural Networks 113, 54-71	2205	2019
A systematic study of the class imbalance problem in convolutional neural networks M Buda, A Maki, MA Mazurowski Neural Networks 106, 249-259	1957	2018
MultiResUNet: Rethinking the U-Net architecture for multimodal biomedical image segmentation N Ibtehaz, MS Rahman Neural Networks 121, 74-87	1124	2020
Recent advances in physical reservoir computing: A review G Tanaka, T Yamane, JB Héroux, R Nakane, N Kanazawa, S Takeda, ... Neural Networks 115, 100-123	1046	2019
Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural Networks 111, 47-63	832	2019
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning S Elfwing, E Uchibe, K Doya Neural Networks 107, 3-11	768	2018
STDP-based spiking deep convolutional neural networks for object recognition SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier Neural Networks 99, 56-67	677	2018
Multivariate LSTM-FCNs for time series classification F Karim, S Majumdar, H Darabi, S Harford Neural Networks 116, 237-245	664	2019
Deep learning on image denoising: An overview C Tian, L Fei, W Zheng, Y Xu, W Zuo, CW Lin Neural Networks 131, 251-275	594	2020
Interpolation consistency training for semi-supervised learning V Verma, K Kawaguchi, A Lamb, J Kannala, A Solin, Y Bengio, ... Neural Networks 145, 90-106	540	2022
Optimal approximation of piecewise smooth functions using deep ReLU neural networks P Petersen, F Voigtlaender Neural Networks 108, 296-330	392	2018
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram ND Truong, AD Nguyen, L Kuhlmann, MR Bonyadi, J Yang, S Ippolito, ... Neural Networks 105, 104-111	386	2018
High-dimensional dynamics of generalization error in neural networks MS Advani, AM Saxe, H Sompolinsky Neural Networks 132, 428-446	381	2020
Attention-guided CNN for image denoising C Tian, Y Xu, Z Li, W Zuo, L Fei, H Liu Neural Networks 124, 117-129	360	2020
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation T Bouwmans, S Javed, M Sultana, SK Jung Neural Networks 117, 8-66	336	2019
Image denoising using deep CNN with batch renormalization C Tian, Y Xu, W Zuo Neural Networks 121, 461-473	331	2020
Soft+ Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection T Fernando, S Denman, S Sridharan, C Fookes Neural Networks 108, 466-478	328	2018
State representation learning for control: An overview T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat Neural Networks 108, 379-392	293	2018
Continuous learning in single-incremental-task scenarios D Maltoni, V Lomonaco Neural Networks 116, 56-73	290	2019
A comparison of deep networks with ReLU activation function and linear spline-type methods K Eckle, J Schmidt-Hieber Neural Networks 110, 232-242	284	2019

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