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.

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Showing 15 citing articles:

Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array
Haixia Mei, Jingyi Peng, Tao Wang, et al.
Nano-Micro Letters (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 16

Application of machine learning to leakage detection of fluid pipelines in recent years: A review and prospect
Jianwu Chen, Xiao Wu, Zhibo Jiang, et al.
Measurement (2025), pp. 116857-116857
Closed Access

Artificial Intelligence in Gas Sensing: A Review
M. Arshad Zahangir Chowdhury, Matthew A. Oehlschlaeger
ACS Sensors (2025)
Closed Access

Gas Detection and Classification Using Multimodal Data Based on Federated Learning
Ashutosh Sharma, Vikas Khullar, Isha Kansal, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5904-5904
Open Access | Times Cited: 4

An Adaptive Deep Learning Method Combined With an Electronic Nose System for Quality Identification of Soybeans Storage Period
Dongyue Xiao, Titi Liu
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15598-15606
Closed Access | Times Cited: 3

Electronic nose combines an effective deep learning method to identify the rice quality under different storage conditions and storage periods
Xiaoyan Tang, Na Wang
Sensors and Actuators A Physical (2024), pp. 115930-115930
Closed Access | Times Cited: 2

Artificial general intelligence for the upstream geoenergy industry: a review
Jimmy Xuekai Li, Tiancheng Zhang, Yiran Zhu, et al.
Gas Science and Engineering (2024) Vol. 131, pp. 205469-205469
Open Access | Times Cited: 2

A Study on E-Nose System in Terms of the Learning Efficiency and Accuracy of Boosting Approaches
Il-Sik Chang, Sung-Woo Byun, Tae-Beom Lim, et al.
Sensors (2024) Vol. 24, Iss. 1, pp. 302-302
Open Access | Times Cited: 2

Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network
Pervіn Bulucu, Mert Nakıp, Cüneyt Güzelіș
IEEE Access (2024) Vol. 12, pp. 71442-71452
Open Access | Times Cited: 1

SPIRo: An AI Based Origami Inspired Soft Robot with Multidimensional Locomotion and Multimodal Data Analysis for Infrastructure Assessments
Evan Zhang, Eddie Zhang
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 3056-3061
Closed Access

A Comparative Analysis of Early Fusion Architectures for Multimodal Gas Detection Using Machine Learning Models
Greeshma Arya, Ashish Bagwari, Sanskriti Agarwal, et al.
Instrumentation Mesure Métrologie (2024) Vol. 23, Iss. 4, pp. 297-306
Open Access

A continuous leakage real-time localization method based on space phase image of elastic wave field with improved CNN
Bian Xu, Tong Liu, Tian Bi-wan, et al.
Measurement (2023) Vol. 224, pp. 113894-113894
Closed Access | Times Cited: 1

DEEP LEARNING-BASED MODEL FOR PADDY DISEASES CLASSIFICATION BY THERMAL INFRARED SENSOR: AN APPLICATION FOR PRECISION AGRICULTURE
Omneya Attallah
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-1/W1-2023, pp. 779-784
Open Access | Times Cited: 1

Gas Leakage Recognition Using Manifold Convolutional Neural Networks and Infrared Thermal Images
Omneya Attallah, Amr El-Helw
(2023), pp. 2003-2008
Closed Access | Times Cited: 1

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