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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:

Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning
Md. Simul Hasan Talukder, Ajay Krishno Sarkar
Smart Agricultural Technology (2022) Vol. 4, pp. 100155-100155
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

PotatoPestNet: A CTInceptionV3-RS-based neural network for accurate identification of potato pests
Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Mohammad Raziuddin Chowdhury, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100297-100297
Open Access | Times Cited: 18
Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
Mayuri Sharma, Chandan Jyoti Kumar, Jyotismita Talukdar, et al.
Open Life Sciences (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 17
Ensemble learning-based applied research on heavy metals prediction in a soil-rice system
Huijuan Hao, Panpan Li, Wentao Jiao, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165456-165456
Closed Access | Times Cited: 16
Advancements in rice disease detection through convolutional neural networks: A comprehensive review
Burak Gülmez
Heliyon (2024) Vol. 10, Iss. 12, pp. e33328-e33328
Open Access | Times Cited: 6
Machine/deep learning techniques for disease and nutrient deficiency disorder diagnosis in rice crops: A systematic review
Mayuri Sharma, Chandan Jyoti Kumar, Dhruba K. Bhattacharyya
Biosystems Engineering (2024) Vol. 244, pp. 77-92
Closed Access | Times Cited: 5
Customised Convolutional Neural Network With Transfer Learning for Multi‐Nutrient Deficiency Identification With Pattern and Deep Features in Paddy Image
S Kavitha, Kotadi Chinnaiah­
Journal of Phytopathology (2025) Vol. 173, Iss. 1
Closed Access
Enhancing autonomous vehicle performance with ensemble weighted support vector-based optimization in cloud
Ravikumar Sethuraman, Kiruthika Venkataramani, M. M. Yamuna Devi, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Differential Growth, Biochemical Responses, and Metal Accumulation in Azolla Exposed to Environmentally Relevant Metal Concentrations in Korean Paddy Fields
Seong‐Ho Jang, Je-Sung Park, Sung-Chul Hong, et al.
(2025)
Closed Access
AI-driven plant health monitoring: evaluating the WRLSB-HPS algorithm for leaf disease classification
Puneet Kumar, H. Lalitha, D. Priya, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Decision Making and Energy Storage System Management
Ismail Elabbassi, Mohamed Khala, Naima El Yanboiy, et al.
Advances in computational intelligence and robotics book series (2025), pp. 69-80
Closed Access
IncepV3Dense: Deep Ensemble Based Average Learning Strategy for Identification of Micro-Nutrient Deficiency in Banana Crop
Sudhakar Muthusamy, Swarna Priya Ramu
IEEE Access (2024) Vol. 12, pp. 73779-73792
Open Access | Times Cited: 4
Improved Diabetic Retinopathy Detection Using ERXG-PS Ensemble Algorithm and Modified Principal Component Analysis
K. Anitha, T. Sethukarasi, K. Abinaya, et al.
IETE Journal of Research (2025), pp. 1-13
Closed Access
Comparative Analysis of Epileptic Seizure Prediction: Exploring Diverse Pre-Processing Techniques and Machine Learning Models
Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Gunjan Chhabra, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 712-719
Closed Access | Times Cited: 11
A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images
Luis Muñoz-Saavedra, Elena Escobar-Linero, Javier Civit-Masot, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7134-7134
Open Access | Times Cited: 10
An improved ensemble model of hyper parameter tuned ML algorithms for fetal health prediction
Md. Simul Hasan Talukder, Sharmin Akter
International Journal of Information Technology (2023) Vol. 16, Iss. 3, pp. 1831-1840
Closed Access | Times Cited: 10
Diagnosis of Cotton Nitrogen Nutrient Levels Using Ensemble MobileNetV2FC, ResNet101FC, and DenseNet121FC
Peipei Chen, Jian‐Guo Dai, Guoshun Zhang, et al.
Agriculture (2024) Vol. 14, Iss. 4, pp. 525-525
Open Access | Times Cited: 3
E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis1
Md. Zasim Uddin, Md. Nadim Mahamood, Ausrukona Ray, et al.
Journal of Integrative Agriculture (2024)
Open Access | Times Cited: 3
Deep Neural Networks for Classifying Nutrient Deficiencies in Rice Plants Using Leaf Images
Shrikrishna Kolhar, Jayant Jagtap, Rajveer Shastri
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 305-314
Open Access | Times Cited: 3
Nutritional composition analysis in food images: an innovative Swin Transformer approach
Hui Wang, Hongyan Tian, Ronghui Ju, et al.
Frontiers in Nutrition (2024) Vol. 11
Open Access | Times Cited: 3
Enhancing Weighted Averaging for CNN Model Ensemble in Plant Diseases Image Classification
Octavian Octavian, Ahmad Badruzzaman, Muhammand Yusuf Ridho, et al.
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2024) Vol. 8, Iss. 2, pp. 272-279
Open Access | Times Cited: 2
Predicting retinal pathologies with IoMT-enabled hybrid ensemble deep network model
J. Sathya Priya, S A Angayarkanni, B. Balakiruthiga, et al.
Signal Image and Video Processing (2023) Vol. 17, Iss. 8, pp. 4255-4264
Closed Access | Times Cited: 5
Deep learning Techniques for Identification of Illicit Drug Identification in Youth
M Pyingkodi, S Parvathavarthini, Suresh Palarimath, et al.
(2024), pp. 408-414
Closed Access | Times Cited: 1
Analysing the Performance and Interpretability of CNN-Based Architectures for Plant Nutrient Deficiency Identification
Junior Mkhatshwa, Tatenda Duncan Kavu, Olawande Daramola
Computation (2024) Vol. 12, Iss. 6, pp. 113-113
Open Access | Times Cited: 1
Development of a Machine Learning Model for Early Diagnosis of Nutrient Deficiency in Rice Based on UAV Images
Ji Hyeon Lee, Wan Gyu Sang, Hyeok Jin Bak, et al.
Journal of Agriculture & Life Science (2024) Vol. 58, Iss. 2, pp. 53-64
Closed Access | Times Cited: 1
Improved Detection and Classification of Multiple Tasks in Paddy Crops Using Optimized Deep Belief Networks with Bidirectional Long-Short Term Memory
A. Pushpa Athisaya Sakila Rani, N. Suresh Singh
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 1
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