Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex
Journal of Manufacturing Systems
JournalCitation impact & published research
Journal of Manufacturing Systems is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 4,144 works, 175,048 citations, an h-index of 167 and an APC (USD) of 3,600.
4,144
Works
175,048
Citations
167
h-index
3,600
APC (USD)
IDs:OpenAlex
What are the most-cited papers on Journal of Manufacturing Systems?
ScholarIQmost cited works
Industry 4.0 and Industry 5.0—Inception, conception and perception
Xun Xu, Yuqian Lu, Birgit Vogel‐Heuser, Lihui Wang
Journal of Manufacturing Systems. 20212,369 CitationsOPEN ACCESS
Deep learning for smart manufacturing: Methods and applications
Jinjiang Wang, Yulin Ma, Laibin Zhang, Robert X. Gao, Dazhong Wu
Journal of Manufacturing Systems. 20181,662 CitationsOPEN ACCESS
Outlook on human-centric manufacturing towards Industry 5.0
Yuqian Lu, Hao Zheng, Saahil Chand, Wanqing Xia, Zengkun Liu, Xun Xu, Lihui Wang, Zhaojun Qin, Jinsong Bao
Journal of Manufacturing Systems. 2022641 Citations
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios
Yuqian Lu, Xun Xu, Lihui Wang
Journal of Manufacturing Systems. 2020526 Citations
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system
Chunyang Xia, Zengxi Pan, Joseph Polden, Huijun Li, Yanling Xu, Shanben Chen, Yuming Zhang
Journal of Manufacturing Systems. 2020444 CitationsOPEN ACCESS
Related on ScholarIQ
Industry 4.0 and Industry 5.0—Inception, conception and perception
Paper
Deep learning for smart manufacturing: Methods and applications
Paper
Outlook on human-centric manufacturing towards Industry 5.0
Paper
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios
Paper
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system
Paper
Digital twin modeling method based on biomimicry for machining aerospace components
Paper