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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:

Predicting starch content in cassava fresh roots using near-infrared spectroscopy
Edwige Gaby Nkouaya Mbanjo, Jenna Hershberger, Prasad Peteti, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 19

Showing 19 citing articles:

Image-Based High-Throughput Phenotyping in Horticultural Crops
Alebel Mekuriaw Abebe, Younguk Kim, Jae-Young Kim, et al.
Plants (2023) Vol. 12, Iss. 10, pp. 2061-2061
Open Access | Times Cited: 35
Advances in intelligent detection, monitoring, and control for preserving the quality of fresh fruits and vegetables in the supply chain
Xiaolong Zhong, Min Zhang, Tiantian Tang, et al.
Food Bioscience (2023) Vol. 56, pp. 103350-103350
Closed Access | Times Cited: 21
Rapid determination of the main components of corn based on near-infrared spectroscopy and a BiPLS-PCA-ELM model
Lili Xu, Jinming Liu, Chunqi Wang, et al.
Applied Optics (2023) Vol. 62, Iss. 11, pp. 2756-2756
Closed Access | Times Cited: 18
Cassava Breeding and Cultivation Challenges in Thailand: Past, Present, and Future Perspectives
Pasajee Kongsil, Hernán Ceballos, Wanwisa Siriwan, et al.
Plants (2024) Vol. 13, Iss. 14, pp. 1899-1899
Open Access | Times Cited: 6
Achieving prediction of starch in cassava (Manihot esculenta Crantz) by data fusion of Vis-NIR and Mid-NIR spectroscopy via machine learning
Jetsada Posom, Kanvisit Maraphum
Journal of Food Composition and Analysis (2023) Vol. 122, pp. 105415-105415
Closed Access | Times Cited: 10
Spectral clustering analysis: discrimination of grass-herb roots and live-dead roots in VISNIR and SWIR regions
Pavel Baykalov, Gernot Bodner, Ivika Ostonen, et al.
Plant and Soil (2025)
Open Access
Research progress in near-infrared spectroscopy for detecting the quality of potato crops
Wenjing Ren, Qingqing Jiang, Wenliang Qi
Chemical and Biological Technologies in Agriculture (2025) Vol. 12, Iss. 1
Open Access
Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband
Vimal Angela Thiviyanathan, Pin Jern Ker, Eric P. P. Amin, et al.
Molecules (2023) Vol. 28, Iss. 3, pp. 1318-1318
Open Access | Times Cited: 9
Genetic Variation and Heritability for Hydrogen Cyanide in Fresh Cassava Roots
Michael Kanaabi, Mukasa Settumba, Ephraim Nuwamanya, et al.
(2024)
Open Access | Times Cited: 2
Rice bean-adzuki bean multitrait near infrared reflectance spectroscopy prediction model: a rapid mining tool for trait-specific germplasm
Racheal John, Arti Bartwal, Christine Jeyaseelan, et al.
Frontiers in Nutrition (2023) Vol. 10
Open Access | Times Cited: 6
Machine Learning Methods in Near Infrared Spectroscopy for Predicting Sensory Traits in Sweetpotatoes
Judith Ssali Nantongo, Edwin Serunkuma, Gabriela Burgos, et al.
(2023)
Closed Access | Times Cited: 3
Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava
Michael Kanaabi, Fatumah B. Namakula, Ephraim Nuwamanya, et al.
The Plant Genome (2023) Vol. 17, Iss. 2
Open Access | Times Cited: 3
Hyperspectral Sensing for High-Throughput Chloride Detection in Grapevines
Sadikshya Sharma, C. W. Wong, Krishna Bhattarai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Genetic Variation and Heritability for Hydrogen Cyanide in Fresh Cassava Roots: Implications for Low-Cyanide Cassava Breeding
Michael Kanaabi, Mukasa Settumba, Ephraim Nuwamanya, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1186-1186
Open Access
Use of low cost near-infrared spectroscopy, to predict pasting properties of high quality cassava flour
Mikidadi Abubakar, Peter Wasswa, Esther Masumba, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Explainability of deep convolutional neural networks when it comes to NIR spectral data: a case study of starch content estimation in potato tubers
Arman Arefi, Barbara Sturm, Thomas Hoffmann
Food Control (2024), pp. 110979-110979
Open Access
Utilizing Moisture Sensors for Accurate Measurement of Starch Content in Cassava
Sirigiet Phunklang, Piyaporn Mesawad, P. Krachodnok
(2024), pp. 114-117
Closed Access
Hyperspectral sensing for high‐throughput chloride detection in grapevines
Sadikshya Sharma, C. W. Wong, Krishna Bhattarai, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access
Use of Low Cost Near-Infrared Spectroscopy, to Predict Pasting Properties of High Quality Cassava Flour
Mikidadi Abubakar, Peter Wasswa, Esther Masumba, et al.
Research Square (Research Square) (2023)
Open Access
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