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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:

MapReduce and Optimized Deep Network for Rainfall Prediction in Agriculture
S. Oswalt Manoj, J. P. Ananth
The Computer Journal (2020) Vol. 63, Iss. 6, pp. 900-912
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Review on Crop Prediction Using Deep Learning Techniques
M. Dharani, R. Thamilselvan, P. Natesan, et al.
Journal of Physics Conference Series (2021) Vol. 1767, Iss. 1, pp. 012026-012026
Open Access | Times Cited: 47
The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review
Rui-Feng Wang, Wen‐Hao Su
Agriculture (2024) Vol. 14, Iss. 8, pp. 1225-1225
Open Access | Times Cited: 6
Particle Swarm Optimized Deep Learning Models for Rainfall Prediction: A Case Study in Aizawl, Mizoram
Chawngthu Zoremsanga, Jamal Hussain
IEEE Access (2024) Vol. 12, pp. 57172-57184
Open Access | Times Cited: 5
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
Rainfall prediction using time series data based on RSJSO_BiLSTM
G. Anuradha, Satish Muppidi, Ramesh Karnati, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Hybrid model for rainfall prediction with statistical and technical indicator feature set
T. Anuradha, P.S.G. Aruna Sri Formal, J. Ramadevi
Expert Systems with Applications (2024) Vol. 249, pp. 123260-123260
Closed Access | Times Cited: 3
Effects of Learning Rates and Optimization Algorithms on Forecasting Accuracy of Hourly Typhoon Rainfall: Experiments With Convolutional Neural Network
Md. Jalal Uddin, Yubin Li, Md. Abdus Sattar, et al.
Earth and Space Science (2022) Vol. 9, Iss. 3
Open Access | Times Cited: 15
IPFS based storage Authentication and access control model with optimization enabled deep learning for intrusion detection
Mariya Princy Antony Saviour, Dhandapani Samiappan
Advances in Engineering Software (2022) Vol. 176, pp. 103369-103369
Closed Access | Times Cited: 11
Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches
Sanjeev Kumar Singh, Asmita Mukherjee, Jagabandhu Panda, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 3, pp. 599-625
Closed Access | Times Cited: 1
FWS-DL: forecasting wind speed based on deep learning algorithms
S. Oswalt Manoj, J. P. Ananth, M. Rohini, et al.
Elsevier eBooks (2022), pp. 353-374
Closed Access | Times Cited: 7
Automated rain fall prediction enabled by optimized convolutional neural network‐based feature formation with adaptive long short‐term memory framework
K Ananthajothi, T. Karthick, M. Amanullah
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 11
Closed Access | Times Cited: 7
A Survey of Rainfall Prediction Using Deep Learning
Jamal Hussain, Chawngthu Zoremsanga
(2021), pp. 1-10
Closed Access | Times Cited: 9
Design of Deep Learning Model for Predicting Rainfall
Sai Saran Ravi, Relangi Gowtham Krishna Sai, Jeberson Retna Raj R
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 1343-1347
Closed Access | Times Cited: 6
A Comparative Study of Long Short-Term Memory for Rainfall Prediction in India
Chawngthu Zoremsanga, Jamal Hussain
Lecture notes in networks and systems (2023), pp. 547-558
Closed Access | Times Cited: 3
Adaptive membership enhanced fuzzy classifier with modified LSTM for automated rainfall prediction model
Nishant N. Pachpor, B. Suresh Kumar, Prakash S. Prasad
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 1031-1060
Closed Access | Times Cited: 3
A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data
Muhammed Sit, Bekir Zahit Demiray, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 5
Optimized cascaded CNN for intelligent rainfall prediction model: a research towards statistic-based machine learning
Md. Mobin Akhtar, Abdallah Shatat, Shabi Alam Hameed, et al.
Theoretical Issues in Ergonomics Science (2022) Vol. 24, Iss. 5, pp. 564-592
Closed Access | Times Cited: 5
Optimization of Climatic Conditions Affecting Determination of the Amount of Water Needed by Plants in Relation to Their Life Cycle with Particle Swarm Optimization, and Determining the Optimum Irrigation Schedule
Mehmet Akif Bülbül, Celal Öztürk, Mehmet Fatih Işık
The Computer Journal (2021)
Closed Access | Times Cited: 6
Dragonfly Political Optimizer Algorithm-Based Rider Deep Long Short-Term Memory for Soil Moisture and Heat Level Prediction in IoT
Satish Muppidi, Om Prakash P G, Kishore Bhamidipati
The Computer Journal (2022) Vol. 66, Iss. 6, pp. 1350-1365
Closed Access | Times Cited: 3
An Adaptive Salp-Stochastic-Gradient-Descent- Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall
S. Oswalt Manoj, Abhishek Kumar, Ashutosh Kumar Dubey, et al.
International Journal of Interactive Multimedia and Artificial Intelligence (2024) Vol. In Press, Iss. In Press, pp. 1-13
Open Access
Smart and Sustainable Agriculture
Madhavi Shamkuwar, Vidya Sunil Kadam, Pratik Arte, et al.
(2024), pp. 17-33
Closed Access
An Evaluation of Bidirectional Long Short-Term Memory Model for Estimating Monthly Rainfall in India
Chawngthu Zoremsanga, Jamal Hussain
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 18, pp. 1828-1837
Open Access
Prediction of Wheat Yield by Novel SDC-LSTM Framework
Nandini Babbar, Ashish Kumar, Vivek Kumar Verma
Brazilian Archives of Biology and Technology (2024) Vol. 67
Open Access
Hybrid Particle Swarm Optimized Models for Rainfall Prediction: A Case Study in India
Chawngthu Zoremsanga, Jamal Hussain
Pure and Applied Geophysics (2024) Vol. 181, Iss. 7, pp. 2343-2357
Closed Access
A performance and interpretability assessment of machine learning models for rainfall prediction in the Republic of Ireland
Menatallah Abdel Azeem, Soumyabrata Dev
Decision Analytics Journal (2024) Vol. 12, pp. 100515-100515
Open Access
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