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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:

An electronic nose for CO concentration prediction based on GL-TCN
Xiaoyu Li, Qingming Jiang, Sen Ni, et al.
Sensors and Actuators B Chemical (2023) Vol. 387, pp. 133821-133821
Closed Access | Times Cited: 21

Showing 21 citing articles:

A novel electronic nose classification prediction method based on TETCN
Fan Wu, Ruilong Ma, Yiran Li, et al.
Sensors and Actuators B Chemical (2024) Vol. 405, pp. 135272-135272
Closed Access | Times Cited: 11
CO Concentration prediction in E-nose based on MHA-MSCINet
Haikui Ling, Zhengyang Zhu, Yiyi Zhang, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105981-105981
Closed Access | Times Cited: 1
Sensing property of on TM (Pd, Fe, Co) doped MoTeSe monolayer upon thermal runaway gases in the lithium-ion battery:A DFT study
Yiping Liu, Maoqiang Bi, Hao Cheng, et al.
Sensors and Actuators A Physical (2023) Vol. 363, pp. 114673-114673
Closed Access | Times Cited: 18
Prediction of gas drainage changes from nitrogen replacement: A study of a TCN deep learning model with integrated attention mechanism
Haiteng Xue, Xiaohong Gui, Gongda Wang, et al.
Fuel (2023) Vol. 357, pp. 129797-129797
Closed Access | Times Cited: 17
An electronic nose for harmful gas early detection based on a hybrid deep learning method H-CRNN
Guosheng Mao, Yanmei Zhang, Xu Yang, et al.
Microchemical Journal (2023) Vol. 195, pp. 109464-109464
Closed Access | Times Cited: 14
AI-Enabled Portable E-Nose Regression Predicting Harmful Molecules in a Gas Mixture
Jilei Yang, Xuefeng Hu, Lihang Feng, et al.
ACS Sensors (2024) Vol. 9, Iss. 6, pp. 2925-2934
Closed Access | Times Cited: 4
An intelligent sensing array for thermal runaway characteristic gas concentration prediction based on SACNN-Mamba
Meng Tang, Xin Zhang, Chang Zhang, et al.
Sensors and Actuators B Chemical (2025) Vol. 431, pp. 137368-137368
Closed Access
Discrimination of Chinese prickly ash origin place using electronic nose system and feature extraction with support vector boosting machine
Junbo Lian, Peng Wu, Wenhui Han, et al.
Cogent Food & Agriculture (2025) Vol. 11, Iss. 1
Open Access
An Attention-Based Spatio-Temporal Graph Convolutional Network for Gas Concentration Prediction
Zhicong Chen, Yanmei Zhang, Yiyi Zhang, et al.
(2025)
Closed Access
Gas Concentration Prediction Based on Temporal Attention Mechanism in Temporal Convolutional Networks
Pengfei Jia, Zhicong Chen, Guosheng Mao, et al.
Sensors and Actuators B Chemical (2025), pp. 137562-137562
Closed Access
Smart VOCs Recognition System Based on Single Gas Sensor and Multi-task Deep Learning Model
Haixia Mei, Jingyi Peng, Tao Wang, et al.
Sensors and Actuators B Chemical (2025), pp. 137853-137853
Closed Access
Stationary sources exhaust gases sensors application by MoTeSe monolayer doped with ZrO2(1,2) cluster: A DFT study
Wei Xie, Yufeng Zhao, Zheng Yan, et al.
Chemical Physics Letters (2024) Vol. 841, pp. 141174-141174
Closed Access | Times Cited: 3
A mixed gas concentration regression prediction method based on RESHA-ALW
Jilong Wu, Wenlong Zhao, Fan Wu, et al.
Sensors and Actuators B Chemical (2024) Vol. 418, pp. 136222-136222
Closed Access | Times Cited: 3
Progressive prediction algorithm by multi-interval data sampling in multi-task learning for real-time gas identification
Ce Fu, Kuanguang Zhang, Huixin Guan, et al.
Sensors and Actuators B Chemical (2024) Vol. 418, pp. 136271-136271
Closed Access | Times Cited: 3
Rapid Mold Detection in Chinese Herbal Medicine Using Enhanced Deep Learning Technology
Ting Zhu, Xincan Wu, Ling Ma, et al.
Journal of Medicinal Food (2024) Vol. 27, Iss. 8, pp. 797-806
Closed Access | Times Cited: 2
Prediction of PM2.5 Concentration Based on Deep Learning for High-Dimensional Time Series
Jie Hu, Yuan Jia, Zhenhong Jia, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8745-8745
Open Access | Times Cited: 2
An adversarial network used for drift correction in electronic nose
Qingming Jiang, Yanmei Zhang, Yiyi Zhang, et al.
Sensors and Actuators A Physical (2024) Vol. 377, pp. 115720-115720
Closed Access | Times Cited: 1
MGGTSP‐CAT: Integrating Temporal Convolution and LSTM for Multi‐Scale Greenhouse Gas Time Series Prediction via Cross‐Attention Mechanism
C. Zhong, Zhihang Zheng
Advanced Theory and Simulations (2024) Vol. 7, Iss. 11
Open Access | Times Cited: 1
Self-validating sensor technology and its application in artificial olfaction: A review
Yinsheng Chen, Mingyang Wang, Ziyan Chen, et al.
Measurement (2024), pp. 116025-116025
Closed Access | Times Cited: 1
Gas Classification and Concentration Prediction in Open Environments Using Class Anchor Clustering-Initialized Temporal Convolutional Network
Youbin Yao, Hongfu Liu, Chuanjun Liu, et al.
Sensors and Actuators B Chemical (2024), pp. 136793-136793
Closed Access
An Electronic Nose for Harmful Gas Early Detection Based on a Hybrid Deep Learning Method H-Crnn
Guosheng Mao, Yanmei Zhang, Xu Yang, et al.
(2023)
Closed Access | Times Cited: 1
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