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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:

A Novel Deep Learning Based Model for Tropical Intensity Estimation and Post-Disaster Management of Hurricanes
Jayanthi Devaraj, Sumathi Ganesan, Rajvikram Madurai Elavarasan, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4129-4129
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Artificial neural network approaches for disaster management: A literature review
Sreeparna Guha, Rabin K. Jana, Manas Kumar Sanyal
International Journal of Disaster Risk Reduction (2022) Vol. 81, pp. 103276-103276
Closed Access | Times Cited: 55
Advanced hybrid CNN-Bi-LSTM model augmented with GA and FFO for enhanced cyclone intensity forecasting
Franciskus Antonius Alijoyo, Taviti Naidu Gongada, Chamandeep Kaur, et al.
Alexandria Engineering Journal (2024) Vol. 92, pp. 346-357
Open Access | Times Cited: 9
Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond
Sidike Paheding, Ashraf Saleem, Mohammad Faridul Haque Siddiqui, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16727-16767
Open Access | Times Cited: 7
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Abdelghani Dahou, Alhassan Mabrouk, Ahmed A. Ewees, et al.
Technological Forecasting and Social Change (2023) Vol. 192, pp. 122546-122546
Closed Access | Times Cited: 15
Enhancing Cyclone Preparedness: Deep Learning Methods with INSAT-3D Satellite Imagery
K. Aditya Shastry, B. S. Aneesh, M. P. Chinmay, et al.
Communications in computer and information science (2025), pp. 196-207
Closed Access
Ensemble Deep Learning Models for Tropical Cyclone Intensity Prediction using Heterogeneous Datasets
Dikshant Gupta, Menaka Pushpa Arthur
Tropical Cyclone Research and Review (2025)
Open Access
Enhanced Cyclone Intensity Estimation Through CNN Analysis of INSAT-3D IR Imagery
Deepak Kumar, Deepak Arora, Shivam Tiwari
Lecture notes in networks and systems (2025), pp. 369-379
Closed Access
Event Detection and Analysis from Social Media Data Using N-gram and Distil-BERT Model
Dharmendra Mangal, Hemant Makwana
Communications in computer and information science (2025), pp. 266-276
Closed Access
Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study
Nabil M. AbdelAziz, Khalid A. Eldrandaly, Safa Al-Saeed, et al.
Decision Making Applications in Management and Engineering (2023) Vol. 7, Iss. 1, pp. 1-36
Open Access | Times Cited: 9
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
Carlos Galera‐Zarco, Goulielmos Floros
Annals of Operations Research (2023) Vol. 339, Iss. 1-2, pp. 573-612
Open Access | Times Cited: 8
Revolutionizing Healthcare: NLP, Deep Learning, and WSN Solutions for Managing the COVID-19 Crisis
P. Ajay, B. Nagaraj, R. Arun Kumar
ACM Transactions on Asian and Low-Resource Language Information Processing (2024)
Open Access | Times Cited: 2
An End-to-End Deep Learning Framework for Cyclone Intensity Estimation in North Indian Ocean Region Using Satellite Imagery
Manish Mawatwal, Saurabh Das
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 10, pp. 2165-2175
Closed Access | Times Cited: 2
A Novel Methodology for Classifying Electrical Disturbances Using Deep Neural Networks
Alma E. Guerrero-Sánchez, Edgar A. Rivas-Araiza, Mariano Garduño‐Aparicio, et al.
(2023)
Open Access | Times Cited: 4
Temperature forecasts for the continental United States: a deep learning approach using multidimensional features
Jahangir Ali, Linyin Cheng
Frontiers in Climate (2024) Vol. 6
Open Access | Times Cited: 1
Deep contrastive learning based hybrid network for Typhoon intensity classification
Pengshuai Yin, Yupeng Fang, Huanxin Chen, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124229-124229
Closed Access | Times Cited: 1
A Hybrid Sailfish Whale Optimization and Deep Long Short-Term Memory (SWO-DLSTM) Model for Energy Efficient Autonomy in India by 2048
Rajasekaran Rajamoorthy, Hemachandira V. Saraswathi, Jayanthi Devaraj, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1355-1355
Open Access | Times Cited: 7
Integrating ANFIS and Qt Framework to Develop a Mobile-Based Typhoon Rainfall Forecasting System
Shiu‐Shin Lin, Kai-Yang Zhu, Jun-yuan Wang, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 5
Nomadic people optimisation based Bi-LSTM for detection and tracking of tropical cyclone
S Rajini, G Tamilpavai
Journal of Earth System Science (2023) Vol. 132, Iss. 1
Closed Access | Times Cited: 2
A study of deep learning algorithm usage in predicting building loss ratio due to typhoons: the case of southern part of the Korean Peninsula
Ji-Myong Kim, Junseo Bae, Manik Das Adhikari, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 2
A Decision-Making Model to Determine Dynamic Facility Locations for a Disaster Logistic Planning Problem Using Deep Learning
Lili Tanti, Syahril Efendi, Maya Silvi Lydia, et al.
Algorithms (2023) Vol. 16, Iss. 10, pp. 468-468
Open Access | Times Cited: 2
Severity of Flood Damage Estimation from Aerial Scenery
Tarakeswara Rao Landa, Tushar Sandhan
Lecture notes in computer science (2024), pp. 46-61
Closed Access
Disseminating the Process of Hurricane Path Prediction using Multilayer Perceptron and Support Vector Machine upon Varied Kernel Functions
Isha Karn, Sukrit Thiagaraja Manikandan, A. Sheik Abdullah
2022 International Conference for Advancement in Technology (ICONAT) (2023), pp. 1-5
Closed Access | Times Cited: 1
Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics
Javier Martínez-Amaya, Nicolas Longépé, Verònica Nieves, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 1
Enhancing Cyclone Intensity Prediction for Smart Cities Using a Deep-Learning Approach for Accurate Prediction
Senthil Kumar Jayaraman, V. Venkatachalam, Marwa M. Eid, et al.
Atmosphere (2023) Vol. 14, Iss. 10, pp. 1567-1567
Open Access | Times Cited: 1
Successful Strategies to Sustain Profits from Tourism Following a Hurricane
Kevin C. James, Dina L. Samora, Irene A. Williams, et al.
International Journal of Business and Management Research (2021) Vol. 9, Iss. 4, pp. 457-466
Open Access | Times Cited: 2
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