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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:

GTRF: A general deep learning framework for tuples recognition towards supervised, semi-supervised and unsupervised paradigms
Qingsong Xiong, Cheng Yuan, Bin He, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106500-106500
Closed Access | Times Cited: 12

Showing 12 citing articles:

Machine learning-driven 3D printing: A review
Xijun Zhang, Dianming Chu, Xinyue Zhao, et al.
Applied Materials Today (2024) Vol. 39, pp. 102306-102306
Closed Access | Times Cited: 15
Re-ACGAN: Structural damage identification with class-imbalance reweighted ACGAN for data augmentation
Qingsong Xiong, Yong Xia, Haibei Xiong, et al.
Engineering Structures (2025) Vol. 329, pp. 119814-119814
Closed Access
Zero-shot knowledge transfer for seismic damage diagnosis through multi-channel 1D CNN integrated with autoencoder-based domain adaptation
Qingsong Xiong, Qingzhao Kong, Haibei Xiong, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111535-111535
Closed Access | Times Cited: 3
Predictive Analysis of Network based Attacks by Hybrid Machine Learning Algorithms utilizing Bayesian Optimization, Logistic Regression and Random Forest Algorithm
Manisankar Sannigrahi, R. Thandeeswaran
IEEE Access (2024) Vol. 12, pp. 142721-142732
Open Access | Times Cited: 3
Physics-informed deep 1D CNN compiled in extended state space fusion for seismic response modeling
Qingsong Xiong, Qingzhao Kong, Haibei Xiong, et al.
Computers & Structures (2023) Vol. 291, pp. 107215-107215
Closed Access | Times Cited: 8
Fusing physics-based and machine learning models for rapid ground-motion-adaptative probabilistic seismic fragility assessment
Qingsong Xiong, Qingzhao Kong, Cheng Yuan, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 108938-108938
Closed Access | Times Cited: 2
A framework for structural vulnerability assessment with consideration of seismic uncertainty
Qingsong Xiong, Qingzhao Kong, Xia Yong
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 7
Open Access
Machine Learning Methods from Shallow Learning to Deep Learning
Tahir Çetin Akıncı, Oğuzhan Topsakal, Mustafa İlhan Akbaş
(2024), pp. 1-28
Closed Access
Three-stage unsupervised learning approach fusing novel pseudo-label diffusion and math-physics translating for real-time structural damage detection
Qingsong Xiong, Haibei Xiong, Cheng Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109438-109438
Closed Access
Enhanced Multi‐Objective Optimization Model for Bridge Performance Assessment and Prediction, Based on Improved PCA, K‐Means Clustering, and Kaplan–Meier Survival Algorithm
Chengzhong Gui, Zhi Duan, Zuwei Huang, et al.
Engineering Reports (2024)
Open Access
DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data
Faxing Yu, Chun‐Na Li, Yuan‐Hai Shao
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107319-107319
Closed Access | Times Cited: 1
Unsupervised Learning Techniques for Vibration-Based Structural Health Monitoring Systems Driven by Data
Francesco Colace, Brij B. Gupta, Angelo Lorusso, et al.
Advances in computational intelligence and robotics book series (2023), pp. 305-347
Closed Access | Times Cited: 1
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