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:

Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape
Maninder Singh Dhillon, Thorsten Dahms, Carina Kübert, et al.
Frontiers in Remote Sensing (2023) Vol. 3
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Predicting carob tree physiological parameters under different irrigation systems using Random Forest and Planet satellite images
Simone Pietro Garofalo, Vincenzo Giannico, Beatriz Lorente, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 11

Wheat Yield Estimation Based on Unmanned Aerial Vehicle Multispectral Images and Texture Feature Indices
Yiliang Kang, Yang Wang, Yanmin Fan, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 167-167
Open Access | Times Cited: 7

Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany
Maninder Singh Dhillon, Carina Kübert, Thorsten Dahms, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1830-1830
Open Access | Times Cited: 16

Prediction of Pea (Pisum sativum L.) Seeds Yield Using Artificial Neural Networks
Patryk Hara, Magdalena Piekutowska, Gniewko Niedbała
Agriculture (2023) Vol. 13, Iss. 3, pp. 661-661
Open Access | Times Cited: 14

Identifying and monitoring of abandoned farmland in key agricultural production areas on the Qinghai‒Tibet Plateau: A case study of the Huangshui Basin
Juan Wang, Yanjun Guan, Hongyu Wang, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120380-120380
Closed Access | Times Cited: 6

Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms
Murali Krishna Gumma, Ramavenkata Mahesh Nukala, Pranay Panjala, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 786-802
Open Access | Times Cited: 6

Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics
Patric Brandt, Florian Beyer, Peter Borrmann, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 6

Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting
Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan, et al.
Hungarian Geographical Bulletin (2024) Vol. 72, Iss. 4, pp. 383-398
Open Access | Times Cited: 4

Mapping Key Soil Properties of Cropland in a Mountainous Region of Southwestern China
Baocai Su, Rui Liu, Zhenzong Lu, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1417-1417
Open Access | Times Cited: 4

Early crop yield prediction for agricultural drought monitoring using drought indices, remote sensing, and machine learning techniques
P. A. Pandya, Narendra Kumar Gontia
Journal of Water and Climate Change (2023) Vol. 14, Iss. 12, pp. 4729-4746
Open Access | Times Cited: 10

Optimal Timing of Carrot Crop Monitoring and Yield Assessment Using Sentinel-2 Images: A Machine-Learning Approach
Rangaswamy Madugundu, Khalid A. Al‐Gaadi, ElKamil Tola, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3636-3636
Open Access | Times Cited: 4

Monitoring of Soil Salinization and Analysis of Driving Factors in the Oasis Zone of South Xinjiang
Jiahao Zhao, Yanmin Fan, Junwei Xuan, et al.
Land (2025) Vol. 14, Iss. 4, pp. 803-803
Open Access

An Integrated Analysis of Yield Prediction Models: A Comprehensive Review of Advancements and Challenges
Nidhi Parashar, Prashant Johri, Arfat Ahmad Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 389-425
Open Access | Times Cited: 3

Harnessing the power of machine learning for crop improvement and sustainable production
Seyed Mahdi Hosseiniyan Khatibi, Jauhar Ali
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3

Evaluation of farmland production potential in key agricultural production areas on the Qinghai-Tibet Plateau under multi-scenario simulation
Juan Wang, Yanjun Guan, Hongyu Wang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175741-175741
Closed Access | Times Cited: 3

The evolution of precision agriculture and food safety: a bibliometric study
Jiahui Xu, Yingyue Cui, Shuhan Zhang, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 3

Comprehensive analysis of methods for estimating actual paddy evapotranspiration—A review
Kiran Bala Behura, S. K. Raul, Jagadish Chandra Paul, et al.
Frontiers in Water (2025) Vol. 7
Open Access

Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany
Maninder Singh Dhillon, Thorsten Dahms, Carina Kübert, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1651-1651
Open Access | Times Cited: 6

Marginal agricultural land identification in the Lower Mississippi Alluvial Valley based on remote sensing and machine learning model
Prakash C. Tiwari, Krishna P. Poudel, Jia Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103568-103568
Open Access | Times Cited: 6

Genomics‐based plant disease resistance prediction using machine learning
Shriprabha R. Upadhyaya, Monica F. Danilevicz, Aria Dolatabadian, et al.
Plant Pathology (2024) Vol. 73, Iss. 9, pp. 2298-2309
Open Access | Times Cited: 2

Mapping crop yield spatial variability using Sentinel-2 vegetation indices in Ethiopia
Gizachew Ayalew Tiruneh, Derege Tsegaye Meshesha, Enyew Adgo, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 11
Open Access | Times Cited: 4

Target-Aware Yield Prediction (TAYP) Model Used to Improve Agriculture Crop Productivity
Yen‐Jen Chang, Ming‐Hsin Lai, Chien-Ho Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 1

A Review of State-of-Art Machine Learning Algorithms Used in Agricultural Yield Prediction
N. Shrinidhi, P. Sridhara Acharya
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 6, pp. 1957-1963
Open Access

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