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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:

Intelligent Agricultural Modelling of Soil Nutrients and pH Classification Using Ensemble Deep Learning Techniques
José Escorcia‐Gutierrez, Margarita Gamarra, Roosvel Soto-Díaz, et al.
Agriculture (2022) Vol. 12, Iss. 7, pp. 977-977
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Advances in Manta Ray Foraging Optimization: A Comprehensive Survey
Farhad Soleimanian Gharehchopogh, Shafi Ghafouri, Mohammad Hasan Namazi, et al.
Journal of Bionic Engineering (2024) Vol. 21, Iss. 2, pp. 953-990
Closed Access | Times Cited: 57
Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem
Neelam Agrawal, Himanshu Govil, Tarun Kumar
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 11
A Decision Support System for Crop Recommendation Using Machine Learning Classification Algorithms
Murali Krishna Senapaty, Abhishek Ray, Neelamadhab Padhy
Agriculture (2024) Vol. 14, Iss. 8, pp. 1256-1256
Open Access | Times Cited: 10
An efficient system to improve the accuracy of Indian agriculture crops growth rate using DenseNet and artificial neural network algorithm
N. Venkata Kishore, P. Gururamasenthilvel
AIP conference proceedings (2025) Vol. 3252, pp. 020059-020059
Closed Access
Applications of machine learning and deep learning in agriculture: A comprehensive review
Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, et al.
Green Technologies and Sustainability (2025), pp. 100199-100199
Open Access
A Comprehensive Survey of Machine Learning Applications in Agricultural Soil Nutrient Analysis, Fertility Prediction, and Soil Mapping in Wardha District, India
Aishwarya Kadu, K. T. V. Reddy
Lecture notes in networks and systems (2025), pp. 203-215
Closed Access
Deep Learning for Sustainable Agriculture: A Systematic Review on Applications in Lettuce Cultivation
Yinghe Qin, Yu-Hao Tu, Tao Li, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 3190-3190
Open Access
Multivariate Time Series Models for Soil Nutrient and Yield Prediction in Site Specific Integrated Nutrient Management
Arpana Devi, S. Maragatham, R. Santhi, et al.
Communications in Soil Science and Plant Analysis (2025), pp. 1-19
Closed Access
Artificial intelligence in agriculture: applications, approaches, and adversities across pre-harvesting, harvesting, and post-harvesting phases
Nidhi Upadhyay, Anuja Bhargava
Iran Journal of Computer Science (2025)
Closed Access
A global blockchain-based agro-food value chain to facilitate trade and sustainable blocks of healthy lives and food for all
Kalpana Tyagi
Humanities and Social Sciences Communications (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 9
ML-based technologies in sustainable agro-food production and beyond: Tapping the (semi) arid landscape for bioactives-based product development
Tripti Joshi, Hansa Sehgal, Sonakshi Puri, et al.
Journal of Agriculture and Food Research (2024) Vol. 18, pp. 101350-101350
Open Access | Times Cited: 3
A Review on Applications of Artificial Intelligence for Identifying Soil Nutrients
Shagun Jain, Divyashikha Sethia
Communications in computer and information science (2023), pp. 71-86
Closed Access | Times Cited: 9
Soil nutrient prediction for paddy cultivation via soil fertility and pH trained hybrid architecture: Recommendations based on nutrient deficiency
S Kavitha, Kotadi Chinnaiah­
Intelligent Decision Technologies (2024) Vol. 18, Iss. 2, pp. 685-703
Closed Access | Times Cited: 2
Advance deep learning for soil type classification in space informatics
Brij B. Gupta, Akshat Gaurav, Varsha Arya, et al.
Journal of Industrial Information Integration (2024) Vol. 42, pp. 100712-100712
Closed Access | Times Cited: 2
Soil NPK Prediction using Enhanced Genetic Algorithm
N Irene Monica, Shree R Pooja, S. Rithiga, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023), pp. 2014-2018
Closed Access | Times Cited: 5
Deep residual network for soil nutrient assessment using optical sensors
C T Lincy, Fred A. Lenin, J. Jalbin
Journal of Plant Nutrition and Soil Science (2023) Vol. 187, Iss. 2, pp. 181-194
Closed Access | Times Cited: 5
Fly: Femtolet‐based edge‐cloud framework for crop yield prediction using bidirectional long short‐term memory
Tanushree Dey, Somnath Bera, Bachchu Paul, et al.
Software Practice and Experience (2024) Vol. 54, Iss. 8, pp. 1361-1377
Closed Access | Times Cited: 1
2-Stage Hybrid Ensemble-Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance
Augustine Josephat Josephat Malamsha, Mussa Ally Dida, Sabine Moebs
Progress in IS (2024), pp. 71-85
Closed Access | Times Cited: 1
Prediction of Soil Fertility Using ML Algorithms and Fertilizer Recommendation System
R. Madhumathi, R Dhanishtaa, Elakkiya Elango, et al.
(2023), pp. 313-317
Closed Access | Times Cited: 3
Soil Nutrient Prediction and Crop Recommendation System
R. Madhumathi, Ashok Kumar K, Chandra Kumar N, et al.
(2023), pp. 976-981
Closed Access | Times Cited: 2
Deep Learning-Based Soil Nutrient Content Prediction for Crop Yield Estimation
Iti Sharma, Nimish Kumar, Himanshu Verma
Advances in electronic government, digital divide, and regional development book series (2024), pp. 85-111
Closed Access
Recent Advancements and Challenges in Deep Learning and Internet of Things for Precision Agriculture
Jaffar Ahmad Khan, Muhammad Abu Bakr, Sumera Aslam, et al.
(2024)
Closed Access
Comprehensive Analysis of Artificial Intelligence based Crop Recommendation and Soil Analysis
Shweta Babarao Barshe, Aruna Sanjay Kamble, P. Ramanathan, et al.
(2024), pp. 1-5
Closed Access
Optimizing Soil Fertility through Machine Learning: Enhancing Agricultural Productivity and Sustainability
Ayhan Arısoy, Enes Açıkgözoğlu
Bilge International Journal of Science and Technology Research (2024) Vol. 8, Iss. 2, pp. 124-133
Open Access
Corn Yield Prediction Based on Dynamic Integrated Stacked Regression
Xiangjuan Liu, Qiaonan Yang, Runjun Yang, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1829-1829
Open Access
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