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h5 指数:145
h5 中位数:223

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

#6 Artificial Intelligence

标题/作者	引用次数	年份
A Comprehensive Survey on Graph Neural Networks Z Wu, S Pan, F Chen, G Long, C Zhang, SY Philip IEEE Transactions on Neural Networks and Learning Systems 32 (1), 4-24	5720	2020
Object Detection With Deep Learning: A Review ZQ Zhao, P Zheng, ST Xu, X Wu IEEE Transactions on Neural Networks and Learning Systems 30 (11), 3212-3232	4068	2019
Adversarial Examples: Attacks and Defenses for Deep Learning X Yuan, P He, Q Zhu, X Li IEEE Transactions on Neural Networks and Learning Systems 30 (9), 2805-2824	1651	2019
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications S Ji, S Pan, E Cambria, P Marttinen, SY Philip IEEE Transactions on Neural Networks and Learning Systems 33 (2), 494-514	1237	2021
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture CLP Chen, Z Liu IEEE transactions on neural networks and learning systems 29 (1), 10-24	1143	2018
A Survey of the Usages of Deep Learning for Natural Language Processing DW Otter, JR Medina, JK Kalita IEEE Transactions on Neural Networks and Learning Systems 32 (2), 604-624	1062	2020
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI E Tjoa, C Guan IEEE Transactions on Neural Networks and Learning Systems 32 (11), 4793-4813	1025	2020
Robust and Communication-Efficient Federated Learning From Non-iid Data F Sattler, S Wiedemann, KR Müller, W Samek IEEE Transactions on Neural Networks and Learning Systems 31 (9), 3400-3413	1008	2019
Efficient kNN Classification With Different Numbers of Nearest Neighbors S Zhang, X Li, M Zong, X Zhu, R Wang IEEE transactions on neural networks and learning systems 29 (5), 1774-1785	923	2018
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri IEEE transactions on neural networks and learning systems 29 (8), 3573-3587	874	2018
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Z Li, F Liu, W Yang, S Peng, J Zhou IEEE Transactions on Neural Networks and Learning Systems	867	2021
Applications of Deep Learning and Reinforcement Learning to Biological Data M Mahmud, MS Kaiser, A Hussain, S Vassanelli IEEE Transactions on Neural Networks and Learning Systems 29 (6), 2063-2079	687	2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs H Liu, YS Ong, X Shen, J Cai IEEE Transactions on Neural Networks and Learning Systems 31 (11), 4405-4423	582	2020
Optimal and Autonomous Control Using Reinforcement Learning: A Survey. B Kiumarsi, KG Vamvoudakis, H Modares, FL Lewis IEEE Transactions on Neural Networks and Learning Systems 29 (6), 2042-2062	579	2018
Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning W He, Y Dong IEEE transactions on neural networks and learning systems 29 (4), 1174-1186	552	2018
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction S Gao, M Zhou, Y Wang, J Cheng, H Yachi, J Wang IEEE Transactions on Neural Networks and Learning Systems 30 (2), 601-614	546	2018
Learning From Noisy Labels With Deep Neural Networks: A Survey H Song, M Kim, D Park, Y Shin, JG Lee IEEE Transactions on Neural Networks and Learning Systems	514	2022
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints F Sattler, KR Müller, W Samek IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3710-3722	512	2020
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning S Peng, H Jiang, H Wang, H Alwageed, Y Zhou, MM Sebdani, YD Yao IEEE Transactions on Neural Networks and Learning Systems 30 (3), 718-727	437	2018
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks S Sakhavi, C Guan, S Yan IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5619-5629	431	2018

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