Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A deep learning method combined with an electronic nose for gas information identification of soybean from different origins
Hui Zheng, An Lu
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 240, pp. 104906-104906
Closed Access | Times Cited: 12

Showing 12 citing articles:

Origin traceability and adulteration detection of soybean using near infrared hyperspectral imaging
Li Xue, Du Wang, Li Yu, et al.
Food Frontiers (2024) Vol. 5, Iss. 2, pp. 237-244
Open Access | Times Cited: 5
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
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
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
An efficient method for chili pepper variety classification and origin tracing based on an electronic nose and deep learning
YangQuan Chen, Xueya Wang, Wenzheng Yang, et al.
Food Chemistry (2025), pp. 143850-143850
Closed Access
Discrimination analysis of wines made from four species of blueberry through their olfactory signatures using an E-nose
Sérgio Luiz Stevan, Hugo Valadares Siqueira, Bruno Adriano Menegotto, et al.
LWT (2023) Vol. 187, pp. 115320-115320
Open Access | Times Cited: 11
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: 2
Recent Advances in Signal Processing Algorithms for Electronic Noses
Yushuo Tan, Yating Chen, Yingsi Zhao, et al.
Talanta (2024) Vol. 283, pp. 127140-127140
Closed Access | Times Cited: 2
A Literature Review On The Quality Evaluation Of Soybeans Using Electronic Nose
Azalea Gilongos, Joanna Buenaventura, Edwin R. Arboleda
(2024)
Open Access | Times Cited: 1
Photovoltaic glass edge defect detection based on improved SqueezeNet
Jie Xiong, Ziguo He, Qiujun Zhou, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 3, pp. 2841-2856
Closed Access | Times Cited: 1
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
A LITERATURE REVIEW ON THE QUALITY EVALUATION OF SOYBEANS USING ELECTRONIC NOSE
Joanna Rose, Viola P. Buenaventura, Azalea Gilongos, et al.
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Page 1

Scroll to top