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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:

Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence
Md. Toukir Ahmed, Nuwan K. Wijewardane, Yuzhen Lu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108855-108855
Open Access | Times Cited: 23

Showing 23 citing articles:

Enhancing corn quality prediction: Variable selection and explainable AI in spectroscopic analysis
Md. Toukir Ahmed, Mohammed Kamruzzaman
Smart Agricultural Technology (2024) Vol. 8, pp. 100458-100458
Open Access | Times Cited: 10
Hyperspectral image reconstruction for predicting chick embryo mortality towards advancing egg and hatchery industry
Md. Toukir Ahmed, Md Wadud Ahmed, Ocean Monjur, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100533-100533
Open Access | Times Cited: 7
Influence of particle size on NIR spectroscopic characterization of sorghum biomass for the biofuel industry
Md Wadud Ahmed, Carlos Esquerre, Kristen K. Eilts, et al.
Results in Chemistry (2025) Vol. 13, pp. 102016-102016
Open Access
Discrimination of unsound soybeans using hyperspectral imaging: A deep learning method based on dual-channel feature fusion strategy and attention mechanism
Dianyang Sun, Li Zhang, Haitao Li, et al.
Food Research International (2025), pp. 115810-115810
Closed Access
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Monitoring of veterinary drug residues in mutton based on hyperspectral combined with explainable AI: A case study of OFX
Fujia Dong, Zhaoyang Ma, Ying Xu, et al.
Food Chemistry (2025), pp. 143087-143087
Closed Access
An efficient nondestructive detection method of rapeseed varieties based on hyperspectral imaging technology
Jian Wang, Xin Zhou, Liu Yang, et al.
Microchemical Journal (2025), pp. 112913-112913
Closed Access
Comparative analysis of hyperspectral Image reconstruction using deep learning for agricultural and biological applications
Md. Toukir Ahmed, Arthur Villordon, Mohammed Kamruzzaman
Results in Engineering (2024) Vol. 23, pp. 102623-102623
Open Access | Times Cited: 5
SpectroChat: A windows executable graphical user interface for chemometrics analysis of spectroscopic data
Md. Toukir Ahmed, Md Wadud Ahmed, Mohammed Kamruzzaman
Software Impacts (2024) Vol. 21, pp. 100698-100698
Open Access | Times Cited: 5
Rapid and high-throughput determination of sorghum (Sorghum bicolor) biomass composition using near infrared spectroscopy and chemometrics
Md Wadud Ahmed, Carlos Esquerre, Kristen K. Eilts, et al.
Biomass and Bioenergy (2024) Vol. 186, pp. 107276-107276
Open Access | Times Cited: 4
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product
Md. Toukir Ahmed, Ocean Monjur, Mohammed Kamruzzaman
Journal of Food Engineering (2024) Vol. 382, pp. 112223-112223
Open Access | Times Cited: 3
Design and control of a side dense transplanting machine for sweet potato seedlings on mulch film
Wanzhi Zhang, Qian Zhu, Tingting Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109193-109193
Closed Access | Times Cited: 2
Predicting sweetpotato traits using machine learning: Impact of environmental and agronomic factors on shape and size
H. Liu, Shelly Hunt, G. Craig Yencho, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109215-109215
Open Access | Times Cited: 2
Prediction of pea composites physicochemical traits and techno-functionalities using FTIR spectroscopy
Md. Hafizur Rahman Bhuiyan, Laura Liu, Anusha Samaranayaka, et al.
LWT (2024) Vol. 208, pp. 116667-116667
Open Access | Times Cited: 2
Advancing Thyroid Care: An Accurate Trustworthy Diagnostics System with Interpretable AI and Hybrid Machine Learning Techniques
Ananda Sutradhar, Sharmin Akter, F. M. Javed Mehedi Shamrat, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36556-e36556
Open Access | Times Cited: 2
Identification of chrysanthemum variety via hyperspectral imaging and wavelength selection based on multitask particle swarm optimization
Yunpeng Wei, Huiqiang Hu, Huaxing Xu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 322, pp. 124812-124812
Closed Access | Times Cited: 1
Precision variety identification of shelled and in-shell pecans using hyperspectral imaging with machine learning
Ebenezer O. Olaniyi, Christopher Kucha, Priyanka Dahiya, et al.
Infrared Physics & Technology (2024), pp. 105570-105570
Closed Access | Times Cited: 1
Vis-NIR and NIR hyperspectral imaging combined with convolutional neural network with attention module for flaxseed varieties identification
Dongyu Zhu, Junying Han, Chengzhong Liu, et al.
Journal of Food Composition and Analysis (2024), pp. 106880-106880
Closed Access
Advancing mango leaf variant identification with a robust multi-layer perceptron model
Md. Fahim-Ul-Islam, Amitabha Chakrabarty, Rafeed Rahman, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Evaluation and process monitoring of jujube hot air drying using hyperspectral imaging technology and deep learning for quality parameters
Quancheng Liu, Xinna Jiang, Fan Wang, et al.
Food Chemistry (2024) Vol. 467, pp. 141999-141999
Closed Access
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing product predictive quality control using Machine Learning and Explainable AI
Ahmed En-nhaili, Adil Hachmoud, Anwar Meddaoui, et al.
Data & Metadata (2024) Vol. 4, pp. 500-500
Closed Access
Geographical origin traceability of chrysanthemum using hyperspectral imaging with class information-guided evolutionary multitasking wavelength selection and spatial feature extraction
Yunpeng Wei, Huiqiang Hu, Minghua Yuan, et al.
Journal of Food Composition and Analysis (2024), pp. 107107-107107
Closed Access
Hyperspectral imaging for detection of macronutrients retained in glutinous rice under different drying conditions
Kabiru Ayobami Jimoh, Norhashila Hashim, Rosnah Shamsudin, et al.
Current Research in Food Science (2024) Vol. 10, pp. 100963-100963
Open Access
Hyperspectral imaging and explainable deep-learning for non-destructive quality prediction of sweetpotato
Md. Toukir Ahmed, Arthur Villordon, Mohammed Kamruzzaman
Postharvest Biology and Technology (2024) Vol. 222, pp. 113379-113379
Open Access
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