OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A big data analytics based machining optimisation approach
Wei Ji, Shubin Yin, Lihui Wang
Journal of Intelligent Manufacturing (2018) Vol. 30, Iss. 3, pp. 1483-1495
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Industrial robotic machining: a review
Wei Ji, Lihui Wang
The International Journal of Advanced Manufacturing Technology (2019) Vol. 103, Iss. 1-4, pp. 1239-1255
Open Access | Times Cited: 292

Recent advances on industrial data-driven energy savings: Digital twins and infrastructures
Sin Yong Teng, Michal Touš, Wei Dong Leong, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110208-110208
Closed Access | Times Cited: 224

Current landscape and influence of big data on finance
Morshadul Hasan, József Popp, Judit Oláh
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 192

Real-time machining data application and service based on IMT digital twin
Xin Tong, Qiang Liu, Shiwei Pi, et al.
Journal of Intelligent Manufacturing (2019) Vol. 31, Iss. 5, pp. 1113-1132
Closed Access | Times Cited: 165

The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review
Ahmet Selcuk Yalcin, Hüseyin Selçuk Kılıç, Dursun Delen
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121193-121193
Closed Access | Times Cited: 146

Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption
Gautam Dutta, Ravinder Kumar, Rahul Sindhwani, et al.
Journal of Intelligent Manufacturing (2021) Vol. 32, Iss. 6, pp. 1679-1698
Closed Access | Times Cited: 115

Literature review on using data mining in production planning and scheduling within the context of cyber physical systems
Paola Martins Seeger, Zakaria Yahouni, Gülgün Alpan
Journal of Industrial Information Integration (2022) Vol. 28, pp. 100371-100371
Open Access | Times Cited: 40

Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models
Marie‐Anne Le Dain, Lamiae Benhayoun-Sadafiyine, Judy Matthews, et al.
Service Business (2023) Vol. 17, Iss. 1, pp. 359-393
Open Access | Times Cited: 39

Digital twin technology in modern machining: A comprehensive review of research on machining errors
Xiangfu Fu, Hyo-Sook Song, Shuo Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 134-161
Open Access | Times Cited: 1

Optimization of cutting parameters considering tool wear conditions in low-carbon manufacturing environment
Changle Tian, Guanghui Zhou, Junjie Zhang, et al.
Journal of Cleaner Production (2019) Vol. 226, pp. 706-719
Closed Access | Times Cited: 70

A review on cutting tool technology in machining of Ni-based superalloys
Wei Fan, Wei Ji, Lihui Wang, et al.
The International Journal of Advanced Manufacturing Technology (2020) Vol. 110, Iss. 11-12, pp. 2863-2879
Open Access | Times Cited: 61

Identifying Big Data’s Opportunities, Challenges, and Implications in Finance
Huidong Sun, Mustafa Raza Rabbani, Muhammad Safdar Sial, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1738-1738
Open Access | Times Cited: 50

Combining Sensor Fusion and a Machine Learning Framework for Accurate Tool Wear Prediction During Machining
Swathi Kotha Amarnath, Vamsi Inturi, Sabareesh Geetha Rajasekharan, et al.
Machines (2025) Vol. 13, Iss. 2, pp. 132-132
Open Access

Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context
Renan Bonnard, Márcio da Silva Arantes, Rodolfo Lorbieski, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 117, Iss. 5-6, pp. 1959-1973
Closed Access | Times Cited: 28

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies
Pulin Li, Kai Cheng, Pingyu Jiang, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 1, pp. 103-119
Closed Access | Times Cited: 29

A fractal-theory-based multi-agent model of the cyber physical production system for customized products
Wu Wei, Jianfeng Lu, Hao Zhang
Journal of Manufacturing Systems (2023) Vol. 67, pp. 143-154
Closed Access | Times Cited: 10

Characterising surface roughness of Ti-6Al-4V alloy machined using coated and uncoated carbide tools with variable nose radius by machine learning
Abdul Md Mazid, Tasadduq Imam, Kazi Badrul Ahsan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106546-106546
Closed Access | Times Cited: 10

A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, et al.
ACM SIGMIS Database the DATABASE for Advances in Information Systems (2023) Vol. 54, Iss. 1, pp. 11-45
Open Access | Times Cited: 9

Implementation of a scalable platform for real-time monitoring of machine tools
Endika Tapia, Unai López-Novoa, Leonardo Sastoque Pinilla, et al.
Computers in Industry (2023) Vol. 155, pp. 104065-104065
Open Access | Times Cited: 9

A proposed integrated manufacturing system of a workshop producing brass accessories in the context of industry 4.0
Ayoub Chakroun, Yasmina Hani, Abderrahman El Mhamedi, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 127, Iss. 3-4, pp. 2017-2033
Open Access | Times Cited: 12

Impact of the thermomechanical load on subsurface phase transformations during cryogenic turning of metastable austenitic steels
Hendrik Hotz, Benjamin Kirsch, Jan C. Aurich
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 3, pp. 877-894
Open Access | Times Cited: 18

Global optimization of functional redundancy in a 6R robot for smoothing five-axis milling operations
Yuesheng Liu, Xindu Chen, Lei Wu, et al.
Engineering Optimization (2023) Vol. 56, Iss. 1, pp. 138-154
Open Access | Times Cited: 6

Analysis of production cycle-time distribution with a big-data approach
Xu Tan, Li-Ning Xing, Zhaoquan Cai, et al.
Journal of Intelligent Manufacturing (2020) Vol. 31, Iss. 8, pp. 1889-1897
Closed Access | Times Cited: 15

Towards Developing Big Data Analytics for Machining Decision-Making
Angkush Kumar Ghosh, Saman Fattahi, Masaaki KIMURA
Journal of Manufacturing and Materials Processing (2023) Vol. 7, Iss. 5, pp. 159-159
Open Access | Times Cited: 5

Indirect tool monitoring in drilling based on gap sensor signal and multilayer perceptron feed forward neural network
Siti Nurfadilah Binti Jaini, Deug-Woo Lee, Seung-Jun Lee, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 6, pp. 1605-1619
Closed Access | Times Cited: 14

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