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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:

Track and intensity forecast of tropical cyclones over the North Indian Ocean with multilayer feed forward neural nets
Sutapa Chaudhuri, Debashree Dutta, Sayantika Goswami, et al.
Meteorological Applications (2014) Vol. 22, Iss. 3, pp. 563-575
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Multi‐Decadal Variations of Severe Cyclonic Storm Frequency Over the Bay of Bengal and Associated Mechanisms
P. H. Hrudya, Gopinadh Konda, Jasti S. Chowdary, et al.
International Journal of Climatology (2025)
Open Access
Advanced Predicting Method for Tropical Cyclone Tracking and Intensity in the Bay of Bengal Using Machine Learning
Chandan Roy, Manoj Kumer Ghosh, Arifa-Tul-Rayhana, et al.
(2025), pp. 93-108
Closed Access
Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks
Arpit Kapoor, Anshul Negi, Lucy Marshall, et al.
Environmental Modelling & Software (2023) Vol. 162, pp. 105654-105654
Open Access | Times Cited: 12
Assessment of impacts to the sequence of the tropical cyclone Nisarga and monsoon events in shoreline changes and vegetation damage in the coastal zone of Maharashtra, India
Manoranjan Mishra, Dipika Kar, Celso Augusto Guimarães Santos, et al.
Marine Pollution Bulletin (2021) Vol. 174, pp. 113262-113262
Closed Access | Times Cited: 23
Tropical cyclone intensity forecasting in the Bay of Bengal using a biologically inspired computational model
Chandan Roy, Md. Rejaur Rahman, Manoj Kumer Ghosh, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 523-537
Closed Access | Times Cited: 8
Using eXtreme Gradient BOOSTing to Predict Changes in Tropical Cyclone Intensity over the Western North Pacific
Qingwen Jin, Xiangtao Fan, Jian Liu, et al.
Atmosphere (2019) Vol. 10, Iss. 6, pp. 341-341
Open Access | Times Cited: 25
Estimating Tropical Cyclone Intensity in the South China Sea Using the XGBoost Model and FengYun Satellite Images
Qingwen Jin, Xiangtao Fan, Jian Liu, et al.
Atmosphere (2020) Vol. 11, Iss. 4, pp. 423-423
Open Access | Times Cited: 23
Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach
Debashree Dutta, Sankar K. Pal
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Open Access | Times Cited: 13
On the rainfall asymmetry and distribution in tropical cyclones over Bay of Bengal using TMPA and GPM rainfall products
Manoj Kumar Thakur, T. V. Lakshmi Kumar, Sanjeev Dwivedi, et al.
Natural Hazards (2018) Vol. 94, Iss. 2, pp. 819-832
Closed Access | Times Cited: 21
Impact of Assimilation of Satellite Retrieved Ocean Surface Winds on the Tropical Cyclone Simulations Over the North Indian Ocean
Jyoti Bhate, Arpita Munsi, Amit P. Kesarkar, et al.
Earth and Space Science (2021) Vol. 8, Iss. 8
Open Access | Times Cited: 17
Air quality index assessment prelude to mitigate environmental hazards
Sutapa Chaudhuri, Arumita Roy Chowdhury
Natural Hazards (2018) Vol. 91, Iss. 1, pp. 1-17
Closed Access | Times Cited: 19
Swarm intelligence and neural nets in forecasting the maximum sustained wind speed along the track of tropical cyclones over Bay of Bengal
Sutapa Chaudhuri, D. Basu, Debanjana Das, et al.
Natural Hazards (2017) Vol. 87, Iss. 3, pp. 1413-1433
Closed Access | Times Cited: 16
Intensity prediction of tropical cyclone using multilayer multi-block local binary pattern and tree-based classifiers over North Indian Ocean
Chinmoy Kar, Sreeparna Banerjee
Computers & Geosciences (2021) Vol. 154, pp. 104798-104798
Open Access | Times Cited: 13
A Hybrid Dynamical‐Statistical Model for Advancing Subseasonal Tropical Cyclone Prediction Over the Western North Pacific
Yitian Qian, Pang‐Chi Hsu, Hiroyuki Murakami, et al.
Geophysical Research Letters (2020) Vol. 47, Iss. 20
Open Access | Times Cited: 13
Tropical Cyclone Intensity and Track Prediction in the Bay of Bengal Using LSTM-CSO Method
Jayant Kumar, V. Venkataraman, S. Meganathan, et al.
IEEE Access (2023) Vol. 11, pp. 81613-81622
Open Access | Times Cited: 4
Granulated mask RCNN and eye detection index (EDI) for detection and localization of eye of tropical cyclone from satellite imagery
Sankar K. Pal, Shreya Biswas, Debashree Dutta
Journal of Data Information and Management (2024) Vol. 6, Iss. 3, pp. 255-275
Closed Access | Times Cited: 1
Application of weather forecasting model WRF for operational electric power network management—a case study for Phailin cyclone
Bishnupriya Sahoo, Prasad K. Bhaskaran, Ashok Kumar Pradhan
Theoretical and Applied Climatology (2018) Vol. 137, Iss. 1-2, pp. 871-891
Closed Access | Times Cited: 14
Satellite cloud image classification for cyclone prediction using Dichotomous Logistic Regression Based Fuzzy Hypergraph model
K. Rajesh, V. Ramaswamy, K. Kannan, et al.
Future Generation Computer Systems (2019) Vol. 98, pp. 688-696
Closed Access | Times Cited: 13
Long-range forecast of all India summer monsoon rainfall using adaptive neuro-fuzzy inference system: skill comparison with CFSv2 model simulation and real-time forecast for the year 2015
Sutapa Chaudhuri, Debanjana Das, Sayantika Goswami, et al.
Climate Dynamics (2016) Vol. 47, Iss. 9-10, pp. 3319-3333
Closed Access | Times Cited: 11
Adaptive neuro‐fuzzy inference system to estimate the predictability of visibility during fog over Delhi, India
Sayantika Goswami, Sutapa Chaudhuri, Debanjana Das, et al.
Meteorological Applications (2020) Vol. 27, Iss. 2
Open Access | Times Cited: 9
Typhoon Tracks Prediction with ConvLSTM Fused Reanalysis Data
Peng Lü, Mingyu Xu, Ao Sun, et al.
Electronics (2022) Vol. 11, Iss. 20, pp. 3279-3279
Open Access | Times Cited: 6
Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea
Lei Zhu, Jian Jin, Alex J. Cannon, et al.
Lecture notes in computer science (2016), pp. 475-482
Closed Access | Times Cited: 8
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction
Ratneel Deo, Rohitash Chandra
2022 International Joint Conference on Neural Networks (IJCNN) (2016)
Closed Access | Times Cited: 8
Regularized ELM bagging model for Tropical Cyclone Tracks prediction in South China Sea
Maocan Yang, Jun Zhang, Hong Lu, et al.
Cognitive Systems Research (2020) Vol. 65, pp. 50-59
Open Access | Times Cited: 8
Basin scale wind-wave prediction using empirical orthogonal function analysis and neural network models
Mrinmoyee Bhattacharya, Mourani Sinha
Results in Geophysical Sciences (2021) Vol. 8, pp. 100032-100032
Open Access | Times Cited: 6
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