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h5 指数:117
h5 中位数:157

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 Artificial Intelligence

标题/作者	引用次数	年份
Monarch butterfly optimization GG Wang, S Deb, Z Cui Neural Computing and Applications 31, 1995-2014	919	2019
Grey wolf optimizer: a review of recent variants and applications H Faris, I Aljarah, MA Al-Betar, S Mirjalili Neural Computing and Applications 30, 413-435	642	2018
Accurate photovoltaic power forecasting models using deep LSTM-RNN M Abdel-Nasser, K Mahmoud Neural Computing and Applications 31, 2727-2740	537	2019
An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets T Mahmood, K Ullah, Q Khan, N Jan Neural Computing and Applications 31, 7041-7053	468	2019
A deep learning approach for Parkinson’s disease diagnosis from EEG signals SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ... Neural Computing and Applications 32, 10927-10933	454	2020
Feature selection via a novel chaotic crow search algorithm GI Sayed, AE Hassanien, AT Azar Neural Computing and Applications 31, 171-188	412	2019
A CNN–LSTM model for gold price time-series forecasting IE Livieris, E Pintelas, P Pintelas Neural Computing and Applications 32, 17351-17360	408	2020
A transfer convolutional neural network for fault diagnosis based on ResNet-50 L Wen, X Li, L Gao Neural Computing and Applications 32, 6111-6124	367	2020
Assessing gender bias in machine translation: a case study with Google Translate MOR Prates, PH Avelar, LC Lamb Neural Computing and Applications 32, 6363-6381	325	2020
The importance of interpretability and visualization in machine learning for applications in medicine and health care A Vellido Neural Computing and Applications 32 (24), 18069-18083	317	2020
A survey of FPGA-based accelerators for convolutional neural networks S Mittal Neural Computing and Applications 32 (4), 1109-1139	303	2020
Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry V Jain, AK Sangaiah, S Sakhuja, N Thoduka, R Aggarwal Neural Computing and Applications 29, 555-564	286	2018
Performance evaluation of different machine learning techniques for prediction of heart disease AK Dwivedi Neural Computing and Applications 29, 685-693	276	2018
Text classification based on deep belief network and softmax regression M Jiang, Y Liang, X Feng, X Fan, Z Pei, Y Xue, R Guan Neural Computing and Applications 29, 61-70	266	2018
Evolutionary algorithms and their applications to engineering problems A Slowik, H Kwasnicka Neural Computing and Applications 32, 12363-12379	266	2020
Adversarial frontier stitching for remote neural network watermarking E Le Merrer, P Pérez, G Trédan Neural Computing and Applications 32, 9233-9244	262	2020
A dynamic ensemble learning algorithm for neural networks KMR Alam, N Siddique, H Adeli Neural Computing and Applications 32, 8675-8690	251	2020
Hybrid optimization with cryptography encryption for medical image security in Internet of Things M Elhoseny, K Shankar, SK Lakshmanaprabu, A Maseleno, N Arunkumar Neural Computing and Applications 32, 10979-10993	245	2020
Blockchain for healthcare data management: opportunities, challenges, and future recommendations. I Yaqoob, K Salah, R Jayaraman, Y Al-Hammadi Neural Computing & Applications	245	2021
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm W Zhao, L Wang, Z Zhang Neural Computing and Applications 32, 9383-9425	243	2020

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