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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:

Performance improvement: A lightweight gas information classification method combined with an electronic nose system
Yan Shi, Baichun Wang, Chongbo Yin, et al.
Sensors and Actuators B Chemical (2023) Vol. 396, pp. 134551-134551
Closed Access | Times Cited: 12

Showing 12 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: 18
An effective method fusing electronic nose and fluorescence hyperspectral imaging for the detection of pork freshness
Jiehong Cheng, Jun Sun, Lei Shi, et al.
Food Bioscience (2024) Vol. 59, pp. 103880-103880
Closed Access | Times Cited: 11
Origin identification of Angelica dahurica using a bidirectional mixing network combined with an electronic nose system
Yanwei Wang, He Wang, Xiaoming Wen, et al.
Sensors and Actuators B Chemical (2025) Vol. 429, pp. 137356-137356
Closed Access
A Neural Network with Multiscale Convolution and Feature Attention Based on an Electronic Nose for Rapid Detection of Common Bunt Disease in Wheat Plants
Zhizhou Ren, Kun Liang, Y. H. Liu, et al.
Agriculture (2025) Vol. 15, Iss. 4, pp. 415-415
Open Access
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: 4
Identification of Adulterants in Chili Powder Based on the Histogram of Oriented Gradients Algorithm by Using an Electronic Nose
Peng Peng, Fushuai Ba, Yafei Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1007-1007
Open Access | Times Cited: 3
The Classification of VOCs Based on Sensor Images Using a Lightweight Neural Network for Lung Cancer Diagnosis
Chengyuan Zha, Lei Li, Fangting Zhu, et al.
(2024)
Open Access | Times Cited: 3
The Classification of VOCs Based on Sensor Images Using a Lightweight Neural Network for Lung Cancer Diagnosis
Chengyuan Zha, Lei Li, Fangting Zhu, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2818-2818
Open Access | Times Cited: 3
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
An effective adaptive deep learning method combined with a hyperspectral system to identify the soybeans quality from different regions
Dongyue Xiao, Li Zhang
Sensors and Actuators A Physical (2024) Vol. 374, pp. 115470-115470
Closed Access | Times Cited: 2
An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms
Yaning Yang, X. Q. Wang, Lin Zhao, et al.
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 096001-096001
Closed Access | Times Cited: 1
Thermal desorption-photoionization ion mobility-electronic nose (TD-PIM-Nose) with distance-probability joint decision SVM algorithm: A novel system for Daqu Grade identification
Shiwen Cheng, Qiang Han, Yumei Qin, et al.
Food Chemistry (2024) Vol. 463, pp. 141360-141360
Closed Access
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