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h5 指数:67
h5 中位数:97

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

#10 Manufacturing & Machinery

标题/作者	引用次数	年份
Literature review of Industry 4.0 and related technologies E Oztemel, S Gursev Journal of Intelligent Manufacturing 31 (1), 127-182	967	2020
Advanced manufacturing systems: socialization characteristics and trends F Tao, Y Cheng, L Zhang, AYC Nee Journal of Intelligent Manufacturing 28 (5), 1079-1094	313	2017
Review of job shop scheduling research and its new perspectives under Industry 4.0 J Zhang, G Ding, Y Zou, S Qin, J Fu Journal of Intelligent Manufacturing 30 (4), 1809-1830	287	2019
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem M Nouiri, A Bekrar, A Jemai, S Niar, AC Ammari Journal of Intelligent Manufacturing 29 (3), 603-615	277	2018
A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives KYH Lim, P Zheng, CH Chen Journal of Intelligent Manufacturing 31 (6), 1313-1337	253	2020
Segmentation-based deep-learning approach for surface-defect detection D Tabernik, S Šela, J Skvarč, D Skočaj Journal of Intelligent Manufacturing 31 (3), 759-776	246	2020
Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems BSA Alhayani Journal of Intelligent Manufacturing 32 (2), 597-610	229	2021
Blockchain-based business process management (BPM) framework for service composition in industry 4.0 W Viriyasitavat, L Da Xu, Z Bi, A Sapsomboon Journal of Intelligent Manufacturing 31 (7), 1737-1748	229	2020
Smart manufacturing based on cyber-physical systems and beyond X Yao, J Zhou, Y Lin, Y Li, H Yu, Y Liu Journal of Intelligent Manufacturing 30 (8), 2805-2817	180	2019
RETRACTED ARTICLE: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique I Mansouri, M Shariati, M Safa, Z Ibrahim, MM Tahir, D Petković Journal of Intelligent Manufacturing 30 (3), 1247-1257	162	2019
A new paradigm of cloud-based predictive maintenance for intelligent manufacturing J Wang, L Zhang, L Duan, RX Gao Journal of Intelligent Manufacturing 28 (5), 1125-1137	161	2017
Build orientation optimization for multi-part production in additive manufacturing Y Zhang, A Bernard, R Harik, KP Karunakaran Journal of Intelligent Manufacturing 28 (6), 1393-1407	148	2017
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation X Li, W Zhang, Q Ding, JQ Sun Journal of Intelligent Manufacturing 31 (2), 433-452	147	2020
Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods M Wu, Z Song, YB Moon Journal of Intelligent Manufacturing 30 (3), 1111-1123	147	2019
A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing Y Delice, E Kızılkaya Aydoğan, U Özcan, MS İlkay Journal of Intelligent Manufacturing 28 (1), 23-36	145	2017
Correlation-aware QoS modeling and manufacturing cloud service composition H Jin, X Yao, Y Chen Journal of Intelligent Manufacturing 28 (8), 1947-1960	143	2017
Automated defect inspection of LED chip using deep convolutional neural network H Lin, B Li, X Wang, Y Shu, S Niu Journal of Intelligent Manufacturing 30 (6), 2525-2534	139	2019
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0 JP Usuga Cadavid, S Lamouri, B Grabot, R Pellerin, A Fortin Journal of Intelligent Manufacturing 31 (6), 1531-1558	133	2020
Research on services encapsulation and virtualization access model of machine for cloud manufacturing Y Zhang, G Zhang, Y Liu, D Hu Journal of Intelligent Manufacturing 28 (5), 1109-1123	127	2017
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth DY Pimenov, A Bustillo, T Mikolajczyk Journal of Intelligent Manufacturing 29 (5), 1045-1061	125	2018

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