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h5 指数:135
h5 中位数:202

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

#8 Artificial Intelligence

标题/作者	引用次数	年份
Deep visual domain adaptation: A survey M Wang, W Deng Neurocomputing 312, 135-153	1651	2018
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification M Frid-Adar, I Diamant, E Klang, M Amitai, J Goldberger, H Greenspan Neurocomputing 321, 321-331	1407	2018
Feature selection in machine learning: A new perspective J Cai, J Luo, S Wang, S Yang Neurocomputing 300, 70-79	1387	2018
On hyperparameter optimization of machine learning algorithms: Theory and practice L Yang, A Shami Neurocomputing 415, 295-316	910	2020
Deep face recognition: A survey M Wang, W Deng Neurocomputing 429, 215-244	842	2021
Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh–A Python package) M Christ, N Braun, J Neuffer, AW Kempa-Liehr Neurocomputing 307, 72-77	789	2018
A survey on security control and attack detection for industrial cyber-physical systems D Ding, QL Han, Y Xiang, X Ge, XM Zhang Neurocomputing 275, 1674-1683	751	2018
A comprehensive survey on support vector machine classification: Applications, challenges and trends J Cervantes, F Garcia-Lamont, L Rodríguez-Mazahua, A Lopez Neurocomputing 408, 189-215	726	2020
Bidirectional LSTM with attention mechanism and convolutional layer for text classification G Liu, J Guo Neurocomputing 337, 325-338	685	2019
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks Y Wu, M Yuan, S Dong, L Lin, Y Liu Neurocomputing 275, 167-179	650	2018
A review on the attention mechanism of deep learning Z Niu, G Zhong, H Yu Neurocomputing 452, 48-62	630	2021
Time series forecasting of petroleum production using deep LSTM recurrent networks A Sagheer, M Kotb Neurocomputing 323, 203-213	624	2019
Recent advances in deep learning for object detection X Wu, D Sahoo, SCH Hoi Neurocomputing 396, 39-64	618	2020
Face detection using deep learning: An improved faster RCNN approach X Sun, P Wu, SCH Hoi Neurocomputing 299, 42-50	601	2018
Deep learning in video multi-object tracking: A survey G Ciaparrone, FL Sánchez, S Tabik, L Troiano, R Tagliaferri, F Herrera Neurocomputing 381, 61-88	518	2020
A unified deep artificial neural network approach to partial differential equations in complex geometries J Berg, K Nyström Neurocomputing 317, 28-41	498	2018
Facial expression recognition via learning deep sparse autoencoders N Zeng, H Zhang, B Song, W Liu, Y Li, AM Dobaie Neurocomputing 273, 643-649	495	2018
Online learning: A comprehensive survey SCH Hoi, D Sahoo, J Lu, P Zhao Neurocomputing 459, 249-289	472	2021
Survey on semantic segmentation using deep learning techniques F Lateef, Y Ruichek Neurocomputing 338, 321-348	444	2019
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines F Jia, Y Lei, L Guo, J Lin, S Xing Neurocomputing 272, 619-628	436	2018

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