Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

In situ monitoring for fused filament fabrication process: A review
Yanzhou Fu, Austin Downey, Lang Yuan, et al.
Additive manufacturing (2020) Vol. 38, pp. 101749-101749
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

In-situ monitoring of sub-surface and internal defects in additive manufacturing: A review
Youssef AbouelNour, Nïkhil Gupta
Materials & Design (2022) Vol. 222, pp. 111063-111063
Open Access | Times Cited: 90
Achieving material diversity in wire arc additive manufacturing: Leaping from alloys to composites via wire innovation
Hao Yi, Le Jia, Jialuo Ding, et al.
International Journal of Machine Tools and Manufacture (2023) Vol. 194, pp. 104103-104103
Open Access | Times Cited: 74
When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development
Chenang Liu, Wenmeng Tian, Chen Kan
Journal of Manufacturing Systems (2022) Vol. 64, pp. 648-656
Open Access | Times Cited: 56
Process Monitoring, Diagnosis and Control of Additive Manufacturing
Qihang Fang, Gang Xiong, MengChu Zhou, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 21, Iss. 1, pp. 1041-1067
Closed Access | Times Cited: 43
Advances in 3D printed sensors for food analysis
Danilo M. dos Santos, Rafael M. Cardoso, Fernanda L. Migliorini, et al.
TrAC Trends in Analytical Chemistry (2022) Vol. 154, pp. 116672-116672
Closed Access | Times Cited: 40
Automated recognition and correction of warp deformation in extrusion additive manufacturing
Douglas A. J. Brion, Matthew Shen, Sebastian W. Pattinson
Additive manufacturing (2022) Vol. 56, pp. 102838-102838
Open Access | Times Cited: 39
Assisted defect detection by in-process monitoring of additive manufacturing using optical imaging and infrared thermography
Youssef AbouelNour, Nïkhil Gupta
Additive manufacturing (2023) Vol. 67, pp. 103483-103483
Open Access | Times Cited: 26
Effect of Filament Material and Printing Temperature on 3D Printing Extrusion Force
Daša Krapež, Muhammed Jusufagić, Murčo Obućina, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2046-2046
Open Access | Times Cited: 1
Scientometric Analysis and Systematic Review of Multi-Material Additive Manufacturing of Polymers
Yufan Zheng, Wenkang Zhang, David Moises Baca Lopez, et al.
Polymers (2021) Vol. 13, Iss. 12, pp. 1957-1957
Open Access | Times Cited: 50
A feedback-based print quality improving strategy for FDM 3D printing: an optimal design approach
Tariku Sinshaw Tamir, Gang Xiong, Qihang Fang, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 120, Iss. 3-4, pp. 2777-2791
Open Access | Times Cited: 37
Comparative study about dimensional accuracy and form errors of FFF printed spur gears using PLA and Nylon
Irene Buj-Corral, Enrique Ernesto Zayas Figueras
Polymer Testing (2022) Vol. 117, pp. 107862-107862
Open Access | Times Cited: 35
In situ process monitoring using acoustic emission and laser scanning techniques based on machine learning models
Ke Xu, Jiaqi Lyu, Souran Manoochehri
Journal of Manufacturing Processes (2022) Vol. 84, pp. 357-374
Closed Access | Times Cited: 29
Application of machine learning in polymer additive manufacturing: A review
Tahamina Nasrin, Farhad Pourkamali‐Anaraki, Amy M. Peterson
Journal of Polymer Science (2023) Vol. 62, Iss. 12, pp. 2639-2669
Open Access | Times Cited: 22
Exploring Effects of Graphene and Carbon Nanotubes on Rheology and Flow Instability for Designing Printable Polymer Nanocomposites
Rumiana Kotsilkova, S. Tabakova
Nanomaterials (2023) Vol. 13, Iss. 5, pp. 835-835
Open Access | Times Cited: 17
Real-time in-process control methods of process parameters for additive manufacturing
Sanglae Kim, Eui-Hyuk Kim, Wonhee Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 1067-1090
Closed Access | Times Cited: 8
Machine learning for the intelligent analysis of 3D printing conditions using environmental sensor data to support quality assurance
Erik Westphal, Hermann Seitz
Additive manufacturing (2021) Vol. 50, pp. 102535-102535
Closed Access | Times Cited: 33
Additive manufacturing of functional devices for environmental applications: A review
Ana Paula Fagundes, Jéssica Oliveira de Brito Lira, Natan Padoin, et al.
Journal of environmental chemical engineering (2022) Vol. 10, Iss. 3, pp. 108049-108049
Closed Access | Times Cited: 28
Systematic deep transfer learning method based on a small image dataset for spaghetti-shape defect monitoring of fused deposition modeling
Hyungjung Kim, Hyunsu Lee, Sung‐Hoon Ahn
Journal of Manufacturing Systems (2022) Vol. 65, pp. 439-451
Open Access | Times Cited: 26
Large format additive manufacturing of polyethylene terephthalate (PET) by material extrusion
Pedro Burgos Pintos, Alberto Sanz de León, S. I. Molina
Additive manufacturing (2023) Vol. 79, pp. 103908-103908
Open Access | Times Cited: 16
Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography
Sixian Jia, Jieliyue Sun, Andrew Howes, et al.
Journal of Manufacturing Processes (2024) Vol. 110, pp. 202-210
Closed Access | Times Cited: 5
Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities
Gabriel Avelino Sampedro, Syifa Maliah Rachmawati, Dong‐Seong Kim, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9446-9446
Open Access | Times Cited: 22
Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data
Longyan Tan, Tingting Huang, Jie Liu, et al.
Computers & Industrial Engineering (2022) Vol. 176, pp. 108887-108887
Closed Access | Times Cited: 19
An Investigation of the Influence of Viscosity and Printing Parameters on the Extrudate Geometry in the Material Extrusion Process
Shahriar Bakrani Balani, Hossein Mokhtarian, Tiina Salmi, et al.
Polymers (2023) Vol. 15, Iss. 9, pp. 2202-2202
Open Access | Times Cited: 12
Integrated design and manufacturing of a soft robotic glove with piezoresistive sensors
Chin‐Tai Chen, Yang-Xin Zhang
Sensors and Actuators A Physical (2024) Vol. 372, pp. 115349-115349
Closed Access | Times Cited: 4
Optimizing FDM process parameters: predictive insights through taguchi, regression, and neural networks
Ahmed Shany Khusheef, Ramin Hashemi, Mohammad Shahbazi
Physica Scripta (2024) Vol. 99, Iss. 6, pp. 066005-066005
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top