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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.

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Showing 20 citing articles:

Near-infrared spectroscopy based on colorimetric sensor array coupled with convolutional neural network detecting zearalenone in wheat
Yongqin Zhao, Jihong Deng, Quansheng Chen, et al.
Food Chemistry X (2024) Vol. 22, pp. 101322-101322
Open Access | Times Cited: 9
Application of deep learning for high-throughput phenotyping of seed: a review
Jin Chen, Lei Zhou, Yuanyuan Pu, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
Detection of Mycotoxin Contamination in Foods Using Artificial Intelligence: A Review
Ashish Aggarwal, Akanksha Mishra, Nazia Tabassum, et al.
Foods (2024) Vol. 13, Iss. 20, pp. 3339-3339
Open Access | Times Cited: 4
A new method to identify the adulteration levels of Lonicerae Flos in Lonicerae Japonicae Flos using fluorescence hyperspectral imaging combined with optimized convolutional neural network
Sunli Cong, Jun Sun, Bing Zhang, et al.
Microchemical Journal (2025) Vol. 210, pp. 112974-112974
Closed Access
Qualitative analysis of wheat aflatoxin B1 using olfactory visualization technique based on natural anthocyanins
Dengmin Li, Diana Monteiro, Hui Jiang, et al.
Journal of Food Composition and Analysis (2025), pp. 107359-107359
Closed Access
Enhancing the application of near-infrared spectroscopy in grain mycotoxin detection: An exploration of a transfer learning approach across contaminants and grains
Jihong Deng, Congli Mei, Hui Jiang
Food Chemistry (2025), pp. 143854-143854
Closed Access
Effect of carbon source and reaction atmosphere on the synthesis of TiB2 via microwave‐assisted boro/carbothermal reduction
Yanjin Du, Zhaolei Zhang, Jia Qiao, et al.
International Journal of Applied Ceramic Technology (2025)
Closed Access
Applications of Artificial Intelligence in Food Industry
Heera Jayan, Weiqing Min, Zhiming Guo
Foods (2025) Vol. 14, Iss. 7, pp. 1241-1241
Open Access
Harnessing Machine Learning for Grain Mycotoxin Detection
Rakiba Rayhana, Jatinder S. Sangha, Yuefeng Ruan, et al.
Smart Agricultural Technology (2025), pp. 100923-100923
Open Access
Intermediate data fusion improves the accuracy of near-infrared spectroscopy and Raman spectroscopy for the detection of aflatoxin B1 in peanuts
Congli Mei, Jihong Deng, Jian Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025), pp. 126216-126216
Closed Access
Application of hyperspectral imaging technology combined with ECA-MobileNetV3 in identifying different processing methods of Yunnan coffee beans
Xin Xie, Jun Sun, Lei Shi, et al.
Journal of Food Composition and Analysis (2025), pp. 107625-107625
Closed Access
NiO In-situ Modification BaTiO3 Ceramic for High-efficiency Electromagnetic Wave Absorbers
Yongshang Wang, Fuliang Meng, Chenjie Liu, et al.
Ceramics International (2025)
Closed Access
Trinocular Vision-Driven Robotic Fertilization: Enhanced YOLOv8n for Precision Mulberry Growth Synchronization
Ming Ma, Osama Elsherbiny, Jianmin Gao
Sensors (2025) Vol. 25, Iss. 9, pp. 2691-2691
Open Access
Towards Intelligent Food Safety: Machine Learning Approaches for Aflatoxin Detection and Risk Prediction
Mayuri Tushar Deshmukh, P. R. Wankhede, Nitin Chakole, et al.
Trends in Food Science & Technology (2025), pp. 105055-105055
Closed Access
Quantitative determination of heavy metal Pb content in soybean oil based on microwave detection technique combined with multivariate analysis
Hui Jiang, J.J. Chen, Jihong Deng, et al.
Sensors and Actuators A Physical (2023) Vol. 363, pp. 114771-114771
Closed Access | Times Cited: 10
Accurate identification of cadmium pollution in peanut oil using microwave technology combined with SVM-RFE
Jingwen Zhu, Jihong Deng, Xinke Zhao, et al.
Sensors and Actuators A Physical (2024) Vol. 368, pp. 115085-115085
Closed Access | Times Cited: 3
Rapid quantitative and qualitative analysis of talcum powder in wheat flour by microwave detection combined with multivariate analysis
Leijun Xu, Zhenshuo Chen, Jihong Deng, et al.
Microchemical Journal (2024) Vol. 204, pp. 111125-111125
Closed Access | Times Cited: 2
Advanced Food Contaminant Detection through Multi-Source Data Fusion: Strategies, Applications, and Future Perspectives
Selorm Yao‐Say Solomon Adade, Hao Lin, Nana Adwoa Nkuma Johnson, et al.
Trends in Food Science & Technology (2024), pp. 104851-104851
Closed Access | Times Cited: 2
Quantitative determination of cadmium content in peanut oil using microwave detection method combined with multivariate analysis
Jingwen Zhu, Jihong Deng, Xinke Zhao, et al.
Microchemical Journal (2024) Vol. 203, pp. 110946-110946
Closed Access | Times Cited: 1
Microwave detection technique combined with deep learning algorithm facilitates quantitative analysis of heavy metal Pb residues in edible oils
Jihong Deng, Xinke Zhao, Wangfei Luo, et al.
Journal of Food Science (2024) Vol. 89, Iss. 9, pp. 6005-6015
Closed Access | Times Cited: 1
Colorimetric sensor array based on metal porphyrin Dye-Modified mesoporous silica nanospheres for quantitative detection of aflatoxin B1 in wheat
Menghan Ge, Jihong Deng, Hui Jiang, et al.
Microchemical Journal (2024) Vol. 207, pp. 112129-112129
Closed Access
Quantitative Determination of Cadmium Content in Peanut Oil Using Microwave Detection Method Combined with Multivariate Analysis
Jingwen Zhu, Tao Liu, Xinke Zhao, et al.
(2023)
Closed Access | Times Cited: 1
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