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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:

Remote Sensing for Monitoring Potato Nitrogen Status
Alfadhl Yahya Alkhaled, Philip A. Townsend, Yi Wang
American Journal of Potato Research (2023) Vol. 100, Iss. 1, pp. 1-14
Closed Access | Times Cited: 13

Showing 13 citing articles:

A review of Best Management Practices for potato crop using Precision Agricultural Technologies
Uzair Ahmad, Lakesh K. Sharma
Smart Agricultural Technology (2023) Vol. 4, pp. 100220-100220
Open Access | Times Cited: 42
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 8
In-season nitrogen status and pre-harvest potato yield assessment using air-spaceborne imagery with AI techniques
Bilal Javed, Athyna N. Cambouris, Louis Longchamps, et al.
Field Crops Research (2025) Vol. 324, pp. 109794-109794
Closed Access
What can we learn from a multi-season-stage-variety potato (Solanum tuberosum L.) study using aerial hyperspectral imagery?
Trevor W. Crosby, Philip A. Townsend, Prabu Ravindran, et al.
Frontiers in Remote Sensing (2025) Vol. 6
Open Access
Estimation of Potato Canopy Nitrogen Content Based on Hyperspectral Index Optimization
Faxu Guo, Quan Feng, Sen Yang, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1693-1693
Open Access | Times Cited: 8
Research Progress on the Application of Crop Yield Calculation based on Image Analysis Technology
Feng Yu, Ming Wang, Jun Xiao, et al.
(2024)
Open Access | Times Cited: 1
Inversion of maize leaf nitrogen using UAV hyperspectral imagery in breeding fields
Qiwen Cheng, Bingsun Wu, Huichun Ye, et al.
International journal of agricultural and biological engineering (2024) Vol. 17, Iss. 3, pp. 144-155
Open Access | Times Cited: 1
Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models
Eden T. Wasehun, Leila Hashemi-Beni, Courtney A. Di Vittorio, et al.
Ecological Informatics (2024), pp. 102988-102988
Open Access | Times Cited: 1
Potato Crop Nitrogen Status Monitoring for Sustainable N Fertilisation Management: Last 15 Years and Future-Expected Developments with Reference Method and Use of Optical Sensors
Jean‐Pierre Goffart, F. Ben Abdallah, Dimitri Goffart, et al.
Potato Research (2023) Vol. 66, Iss. 4, pp. 1257-1303
Closed Access | Times Cited: 4
A review of potassium significance and management approaches in potato production under sandy soils
Simranpreet K. Sidhu, Lincoln Zotarelli, Lakesh K. Sharma
Journal of Sustainable Agriculture and Environment (2024) Vol. 3, Iss. 2
Open Access
Efficient management of potato fields: integrating ground and UAV vegetation indexes for optimal mechanical planting parameters
Khaoula Abrougui, Chiheb Khemis, Ridha Guebsi, et al.
Euro-Mediterranean Journal for Environmental Integration (2024)
Closed Access
A Review on Potato Crop Yield and Nitrogen Management Utilizing Remote/Proximal Sensing Technologies and Machine Learning Models in Canada
Ehsan Chatraei Azizabadi, Nasem Badreldin
Potato Research (2024)
Closed Access
Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management
Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4514-4514
Open Access
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