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 feature-level multi-sensor fusion approach for in-situ quality monitoring of selective laser melting
Jingchang Li, Xiaoge Zhang, Qi Zhou, et al.
Journal of Manufacturing Processes (2022) Vol. 84, pp. 913-926
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition
Lequn Chen, Guijun Bi, Xiling Yao, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 84, pp. 102581-102581
Closed Access | Times Cited: 50

In-process and post-process strategies for part quality assessment in metal powder bed fusion: A review
Cherq Chua, Yanting Liu, Richard J. Williams, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 75-105
Open Access | Times Cited: 24

A review of laser additive manufacturing (LAM) aluminum alloys: Methods, microstructures and mechanical properties
Hongju Fan, Jiaying Hu, You Wang, et al.
Optics & Laser Technology (2024) Vol. 175, pp. 110722-110722
Closed Access | Times Cited: 22

In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: A critical review
Lequn Chen, Guijun Bi, Xiling Yao, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 527-574
Open Access | Times Cited: 21

Qualify assessment for extrusion-based additive manufacturing with 3D scan and machine learning
Xiaoyu Li, Mengna Zhang, Mingxia Zhou, et al.
Journal of Manufacturing Processes (2023) Vol. 90, pp. 274-285
Open Access | Times Cited: 30

Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning
Vigneashwara Pandiyan, Rafał Wróbel, Christian Leinenbach, et al.
Journal of Materials Processing Technology (2023) Vol. 321, pp. 118144-118144
Open Access | Times Cited: 26

Stress fusion evaluation modeling and verification based on non-invasive blood glucose biosensors for live fish waterless transportation
Yongjun Zhang, Xinqing Xiao, Huanhuan Feng, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 22

In-situ process evaluation for continuous fiber composite additive manufacturing using multisensing and correlation analysis
Lu Lu, Shangqin Yuan, Xiling Yao, et al.
Additive manufacturing (2023) Vol. 74, pp. 103721-103721
Closed Access | Times Cited: 14

A multi-sensor based online monitoring system for laser hot-wire surface cladding process
Mingpu Yao, Jie Sheng, Fanrong Kong, et al.
Optics & Laser Technology (2024) Vol. 177, pp. 111074-111074
Closed Access | Times Cited: 5

Transfer learning-based quality monitoring of laser powder bed fusion across materials
Jingchang Li, Jiexiang Hu, Qi Zhou, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124150-124150
Closed Access | Times Cited: 5

In-situ monitoring in laser powder bed fusion based on acoustic signal time-frequency synchrosqueezing transform and multi-scale spatially interactive fusion convolutional neural network
Zhiwen Li, Zhifen Zhang, Shuai Zhang, et al.
Journal of Manufacturing Processes (2024) Vol. 126, pp. 471-486
Closed Access | Times Cited: 5

A multi-source heterogeneous information fusion network for comprehensive assessment of spot welding quality
Wei Dai, Xiaochuan Sun, Wanliang Zhang, et al.
Journal of Manufacturing Processes (2025) Vol. 135, pp. 142-160
Closed Access

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie, Mutahar Safdar, Lequn Chen, et al.
Additive manufacturing (2025), pp. 104692-104692
Closed Access

Quality control techniques in additive manufacturing: Current trends and their prototypical implementation
Daniel Seifert, Pierre Grzona, Keyur Raval, et al.
Procedia Computer Science (2025) Vol. 253, pp. 1206-1215
Open Access

Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process
Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, et al.
Virtual and Physical Prototyping (2025) Vol. 20, Iss. 1
Open Access

New Sensing Technologies for Monitoring Machinery, Structures, and Manufacturing Processes
JDMD Editorial Office, Zhaoyan Fan, Robert X. Gao, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 12

Autonomous intelligent additive manufacturing of continuous fiber-reinforced composites: data-enhanced knowledgebase and multi-sensor fusion
Lu Lu, Yifei Yuan, Yongkang Xie, et al.
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 2

In-situ monitoring of the small changes in process parameters with multi-sensor fusion during LPBF
Longchao Cao, Wentao Guo, Binyan He, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106114-106114
Closed Access | Times Cited: 1

Review of in-situ process monitoring for ultra-short pulse laser micromanufacturing
Kerim Yildirim, Balasubramanian Nagarajan, Tegoeh Tjahjowidodo, et al.
Journal of Manufacturing Processes (2024) Vol. 133, pp. 1126-1159
Closed Access | Times Cited: 1

MRI Based Spatio-Temporal Model for Alzheimer’s Disease Prediction
S. Harshanandhini, J Aravinth
Communications in computer and information science (2024), pp. 28-44
Closed Access

Deep learning with mixup augmentation for improved pore detection during additive manufacturing
Bulbul Ahmmed, Elisabeth G. Rau, Maruti Kumar Mudunuru, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Development of a universal multimodal prediction method to optimise process parameters for improving densification during laser powder bed fusion
Vyacheslav A. Trofimov, Shanhui Xu, Zhi Dong, et al.
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access

Using Acoustic Emission Signal Analysis and Machine Learning Algorithms for Predicting Mechanical Hardness in Laser Directed Energy Deposition Parts
Ke Xu, Youmna Mahmoud, Souran Manoochehri, et al.
Research Square (Research Square) (2024)
Closed Access

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