Concurrent Engineering-Research and Applications

Papers
(The TQCC of Concurrent Engineering-Research and Applications is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Influence of Al-dispersion and double layering on the microwave absorption behaviour of B 4 C11
Call for papers: Concurrent engineering: Research and applications9
A framework for data-driven decision making in advanced manufacturing systems: Development and implementation8
Exploring bioinspired microrobotics for future medical frontiers: A comprehensive review7
A structured approach for functional analysis of context-aware systems7
Digital twinning of vertical centrifugal casting6
RETRACTED: Compressing project to minimize the increased risk and cost5
RETRACTED: Customer’s opinion mining from online reviews using intelligent rules with machine learning techniques5
Multi-objective optimization of machining parameters for sustainable manufacturing: Balancing energy efficiency and noise reduction4
Model-based trade-off curves to support the set-based concurrent engineering of highly innovative projects4
Comparative finite element model updating of CBAR-based joint structure using iterative least square method and response surface methodology4
Integrating resource early warning in buffer management for project schedule risk control using BP neural networks4
RETRACTED: Evaluation of biometric communication and authenticate recognition using ANN with PSO algorithm4
A smart solar PV monitoring system using internet of things (IoT)4
Research on uncertain integrated production planning and scheduling with risk management based on improved collaborative optimization4
Deep deterministic policy gradient-based symmetry-aware strategy for intelligent wiper system of PV panel4
Leveraging the potential of the modified WOA to achieve optimal hardness through appropriate parameter selection in SAW4
Detection of plant root diseases using computational intelligence and advanced image processing techniques3
Design for lean 5.0: Integrating lean requirements and parameters into production systems in an industry 5.0 context3
Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic3
On blockchain technology and machine learning algorithms in concurrent engineering3
Integration of lean manufacturing system with novel intuitive fuzzy syncretic lean frame work to improve the overall equipment effectiveness3
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