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:

Geological type recognition for shield machine using a semi-supervised variational auto-encoder-based adversarial method
Haodi Wang, Chengjin Qin, Honggan Yu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 156, pp. 106258-106258
Closed Access | Times Cited: 5

Showing 5 citing articles:

Comparison and optimization of rail defect detection methods based on object detection model
Hongwei Zhang, Xiaolu Cui, Yue Yin, et al.
Tribology Transactions (2025), pp. 1-12
Closed Access | Times Cited: 3

TBM rock fragmentation classification using an adaptive spot denoising and contour-texture decomposition attention-based method
Guoqiang Huang, Chengjin Qin, Haodi Wang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106498-106498
Closed Access | Times Cited: 1

A novel multi-scale hybrid connected neural network for anti-noise rock fragmentation classification of tunnel boring machine
Guoqiang Huang, Chengjin Qin, Zhong Tao, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106555-106555
Closed Access

Innovative fault diagnosis for axial piston pumps: A physics-informed neural network framework predicting pump flow ripple
Chang Dong, Jianfeng Tao, Hao Sun, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112274-112274
Closed Access

A real-time multi-head mixed attention mechanism-based prediction method for tunnel boring machine disc cutter wear
Haodi Wang, Chengjin Qin, Honggan Yu, et al.
Science China Technological Sciences (2024) Vol. 68, Iss. 1
Closed Access | Times Cited: 3

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