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h5 指数:73
h5 中位数:115

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 Manufacturing & Machinery

标题/作者	引用次数	年份
Industry 4.0 and the current status as well as future prospects on logistics E Hofmann, M Rüsch Computers in Industry 89, 23-34	1474	2017
The industrial internet of things (IIoT): An analysis framework H Boyes, B Hallaq, J Cunningham, T Watson Computers in Industry 101, 1-12	893	2018
Digital Supply Chain: Literature review and a proposed framework for future research G Büyüközkan, F Göçer Computers in Industry 97, 157-177	531	2018
Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry SS Kamble, A Gunasekaran, R Sharma Computers in Industry 101, 107-119	368	2018
Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review P Dallasega, E Rauch, C Linder Computers in Industry 99, 205-225	328	2018
Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union I Castelo-Branco, F Cruz-Jesus, T Oliveira Computers in Industry 107, 22-32	283	2019
An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field M Abdel-Baset, V Chang, A Gamal, F Smarandache Computers in Industry 106, 94-110	270	2019
Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions G Zhao, S Liu, C Lopez, H Lu, S Elgueta, H Chen, BM Boshkoska Computers in Industry 109, 83-99	261	2019
Review of digital twin applications in manufacturing C Cimino, E Negri, L Fumagalli Computers in Industry 113, 103130	252	2019
Cyber-physical systems and their security issues R Alguliyev, Y Imamverdiyev, L Sukhostat Computers in Industry 100, 212-223	242	2018
Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture M Lezoche, JE Hernandez, MMEA Díaz, H Panetto, J Kacprzyk Computers in Industry 117, 103187	237	2020
Generative adversarial networks for data augmentation in machine fault diagnosis S Shao, P Wang, R Yan Computers in Industry 106, 85-93	210	2019
Evaluation of the green supply chain management practices: A novel neutrosophic approach M Abdel-Baset, V Chang, A Gamal Computers in Industry 108, 210-220	208	2019
Robotic Process Automation: Contemporary themes and challenges R Syed, S Suriadi, M Adams, W Bandara, SJJ Leemans, C Ouyang, ... Computers in Industry 115, 103162	207	2020
Cybersecurity for Industry 4.0 in the current literature: A reference framework M Lezzi, M Lazoi, A Corallo Computers in Industry 103, 97-110	203	2018
Industry 4.0: Adoption challenges and benefits for SMEs T Masood, P Sonntag Computers in Industry 121, 103261	199	2020
Extracting and mapping industry 4.0 technologies using wikipedia F Chiarello, L Trivelli, A Bonaccorsi, G Fantoni Computers in Industry 100, 244-257	197	2018
A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals H Wang, S Li, L Song, L Cui Computers in Industry 105, 182-190	185	2019
Towards on-farm pig face recognition using convolutional neural networks MF Hansen, ML Smith, LN Smith, MG Salter, EM Baxter, M Farish, ... Computers in Industry 98, 145-152	177	2018
Bearing performance degradation assessment using long short-term memory recurrent network B Zhang, S Zhang, W Li Computers in Industry 106, 14-29	169	2019

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