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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:

Intelligent monitoring and assessment on early-age hydration and setting of cement mortar through an EMI-integrated neural network
Qixiang Yan, Xiaolong Liao, Chuan Zhang, et al.
Measurement (2022) Vol. 203, pp. 111984-111984
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning
Thanh‐Truong Nguyen, Quoc-Bao Ta, Duc-Duy Ho, et al.
Developments in the Built Environment (2023) Vol. 14, pp. 100122-100122
Open Access | Times Cited: 44
Smart Aggregate‐Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals
Quoc-Bao Ta, Quang‐Quang Pham, Ngoc-Lan Pham, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 15
A review on health monitoring of concrete structures using embedded piezoelectric sensor
Gomasa Ramesh, Visalakshi Talakokula, Sri Kalyana Rama Jyosyula, et al.
Construction and Building Materials (2023) Vol. 405, pp. 133179-133179
Closed Access | Times Cited: 26
Integrating PZT-enabled active sensing with deep learning techniques for automatic monitoring and assessment of early-age concrete strength
Xiaolong Liao, Qixiang Yan, Haojia Zhong, et al.
Measurement (2023) Vol. 211, pp. 112657-112657
Closed Access | Times Cited: 25
Automatic assessment of freeze-thaw damage in concrete structures using piezoelectric-based active sensing approach and deep learning technique
Xiaolong Liao, Qixiang Yan, Liufeng Su, et al.
Engineering Structures (2024) Vol. 302, pp. 117453-117453
Closed Access | Times Cited: 12
Monitoring of crack repair in concrete using spherical smart aggregates based on electromechanical impedance (EMI) technique
Chengming Lan, Honghui Liu, Shuo Zhuang, et al.
Smart Materials and Structures (2024) Vol. 33, Iss. 2, pp. 025031-025031
Closed Access | Times Cited: 8
Detection and diagnosis of concrete void defect using percussion-based method combined with convolutional neural network
Qixiang Yan, Yifeng Zhang, Xiaolong Liao, et al.
Measurement (2024) Vol. 231, pp. 114585-114585
Closed Access | Times Cited: 7
A Novel CNN-LSTM Hybrid Model for Prediction of Electro-Mechanical Impedance Signal Based Bond Strength Monitoring
Lukesh Parida, Sumedha Moharana, Victor Ferreira, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9920-9920
Open Access | Times Cited: 29
Deep convolutional transformer network for quantifying crack width in tunnel lining structures using distributed fiber optic sensing data
Xiaolong Liao, Qixiang Yan, Qixiang Yan, et al.
Smart Materials and Structures (2025) Vol. 34, Iss. 3, pp. 035046-035046
Closed Access
An innovative deep neural network coordinating with percussion-based technique for automatic detection of concrete cavity defects
Xiaolong Liao, Qixiang Yan, Yifeng Zhang, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132700-132700
Closed Access | Times Cited: 15
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
Application research of epoxy resin mortar composite encapsulated piezoelectric ultrasonic sensors in monitoring dynamic modulus of asphalt concrete
Feilong Ye, Xunhao Ding, Tao Ma, et al.
Measurement (2025), pp. 116642-116642
Closed Access
Design and validation of a minimalist, open-source system for measuring elastic modulus evolution in cementitious materials
Renan Rocha Ribeiro, Thomas Russo, Alireza Araghi, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-25
Closed Access
Electromechanical impedance-based measurements for damage detection and characterization in medium-thick plates
Mojtaba Khayatazad, Mia Loccufier, Wim De Waele
Measurement (2025), pp. 116841-116841
Closed Access
Experimental investigation on progressive damage and failure mechanism of deep hard-rock tunnels subjected to cyclic loading
Ziquan Chen, Hongxiang Zhan, Zihan Zhou, et al.
Theoretical and Applied Fracture Mechanics (2024) Vol. 133, pp. 104501-104501
Closed Access | Times Cited: 3
Data-driven models to predict the water-to-cement ratio and initial setting time of cement grouts
Jiahe Liu, Li Tang, Dongsheng Li, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 2
Integrating electro-mechanical impedance data with machine learning for damage detection and classification of blended concrete systems
Gomasa Ramesh, Visalakshi Talakokula, Sri Kalyana Rama Jyosyula, et al.
Construction and Building Materials (2024) Vol. 445, pp. 137725-137725
Closed Access | Times Cited: 2
Bone-Implant Osseointegration Monitoring Using Electro-mechanical Impedance Technique and Convolutional Neural Network: A Numerical Study
Tran-De-Nhat Truong, Ananta Man Singh Pradhan, Thanh‐Truong Nguyen, et al.
Journal of Nondestructive Evaluation (2023) Vol. 43, Iss. 1
Closed Access | Times Cited: 6
Monitoring of soil water content using spherical smart aggregates based on electromechanical impedance (EMI) technique
Chengming Lan, Shuo Zhuang, Song Han, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 7, pp. 074002-074002
Closed Access | Times Cited: 5
A state estimation method based on CNN-LSTM for ball screw
Lei Jianxin, Jiang Zhi-nong, Zhilong Gao, et al.
Measurement and Control (2024) Vol. 57, Iss. 10, pp. 1417-1434
Open Access | Times Cited: 1
Deep hybrid neural network-aided electromechanical impedance method for automated damage detection of lining concrete under freeze-thaw cycling
Chuan Zhang, Qixiang Yan, Xiaolong Liao, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Energy Dissipation-Based Fatigue Damage Evolution of Rocks Subjected to Uniaxial Cyclic Compression Based on Electromechanical Impedance Method
Chuan Zhang, Qixiang Yan, Minghui Sun, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 12, pp. 10329-10348
Closed Access | Times Cited: 1
Identification of damage in timber I-beams using continuous wavelet transform of deflection measured with digital image correlation
Zbigniew Perkowski, Mariusz Czabak, Izabela D. Czabak-Górska, et al.
Measurement (2024) Vol. 242, pp. 115961-115961
Open Access | Times Cited: 1
Fault Assessment in Piezoelectric-Based Smart Strand Using 1D Convolutional Neural Network
Ba-Tung Le, Thanh-Cao Le, Tran-Huu-Tin Luu, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 1916-1916
Open Access | Times Cited: 5
Evaluation of Setting Times of Concrete Using Electro-Mechanical Impedance Sensing Technique
Jun‐Cheol Lee
Materials (2023) Vol. 16, Iss. 16, pp. 5618-5618
Open Access | Times Cited: 2
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