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:

Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment
Qingzhao Kong, Qingsong Xiong, Haibei Xiong, et al.
Measurement (2023) Vol. 214, pp. 112779-112779
Closed Access | Times Cited: 12

Showing 12 citing articles:

Damage detection of jacket platforms through improved stacked autoencoder and softmax classifier
Ankai Wei, Sheng Guan, Na Wang, et al.
Ocean Engineering (2024) Vol. 306, pp. 118036-118036
Closed Access | Times Cited: 5

Nondestructive detection of fiber content in steel fiber reinforced concrete through percussion method coordinated with a hybrid deep learning network
Chuan Zhang, Qixiang Yan, Yifeng Zhang, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108857-108857
Closed Access | Times Cited: 4

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

Prediction of Cutting Force for Different Tools Based on Transfer Learning and Neural Networks
Zhilin Li, C. M. Ni
International Journal of Precision Engineering and Manufacturing (2025)
Closed Access

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

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

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

Deep representation clustering of multi-type damage features based on unsupervised generative adversarial network
Xiao Li, Fengā€Liang Zhang, Jun Lei, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 25374-25393
Closed Access | Times Cited: 1

Operation Condition Assessment for Elevators Based on Deep Siamese Network and T-S Semi-Supervision Model
Lei Guo, Dapeng Niu, Jiaxu Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access

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

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

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