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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:

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System
Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 4271-4281
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Machine learning for bridge wind engineering
Zeyu Zhang, Shanwu Li, Hui Feng, et al.
Advances in wind engineering. (2024) Vol. 1, Iss. 1, pp. 100002-100002
Open Access | Times Cited: 20
Applications of Machine Learning to Wind Engineering
Teng Wu, Reda Snaiki
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 40
TorchGeo
Adam J. Stewart, Caleb Robinson, Isaac Corley, et al.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems (2022), pp. 1-12
Closed Access | Times Cited: 28
A Multiscale and Multilayer Feature Extraction Network With Dual Attention for Tropical Cyclone Intensity Estimation
Zhaoyang Ma, Yunfeng Yan, Jianmin Lin, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 7
TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac Corley, et al.
ACM Transactions on Spatial Algorithms and Systems (2024)
Open Access | Times Cited: 5
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
Tropical Cyclone Intensity Estimation Using Himawari-8 Satellite Cloud Products and Deep Learning
Jinkai Tan, Qidong Yang, Junjun Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 812-812
Open Access | Times Cited: 22
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
An intelligent optimized cyclone intensity prediction framework using satellite images
C. Kishor Kumar Reddy, P. R. Anisha, ‪Marlia M. Hanafiah‬, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1537-1549
Closed Access | Times Cited: 10
Cyclone Intensity Estimation on INSAT 3D IR Imagery Using Deep Learning
Kuldeep Vayadande, Tejas Adsare, Tejas Dharmik, et al.
(2023), pp. 592-599
Closed Access | Times Cited: 7
Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems
Arturs Kempelis, Inese Poļaka, Andrejs Romānovs, et al.
Future Internet (2024) Vol. 16, Iss. 2, pp. 44-44
Open Access | Times Cited: 2
Tropical cyclone intensity estimation using multispectral image with convolutional dictionary learning
Zhening Liu, Randi Fu, Nan Wu, et al.
Atmospheric Research (2024) Vol. 308, pp. 107505-107505
Closed Access | Times Cited: 2
Novel Perceptual Mach Band-Based Deep Attention Network for Cyclone Intensity Estimation
Smarth Bansal, Niladri B. Puhan, Sandeep Pattnaik
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2
Advanced Machine Learning Methods for Major Hurricane Forecasting
Javier Martínez-Amaya, Cristina Radin, Verònica Nieves
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 119-119
Open Access | Times Cited: 11
Physics constraint Deep Learning based radiative transfer model
Quanhua Liu, Xingming Liang
Optics Express (2023) Vol. 31, Iss. 17, pp. 28596-28596
Open Access | Times Cited: 5
A neural network with spatiotemporal encoding module for tropical cyclone intensity estimation from infrared satellite image
Zhe Zhang, Xuying Yang, Xin Wang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110005-110005
Closed Access | Times Cited: 9
A Deep-Learning-Based Fusion Approach for Global Cyclone Detection Using Multiple Remote Sensing Data
Ming Xie, Ying Li, Shuang Dong
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 9613-9622
Open Access | Times Cited: 9
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 Conformal Regressor With Random Forests for Tropical Cyclone Intensity Estimation
Pingping Wang, Ping Wang, Di Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Closed Access | Times Cited: 12
High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]
Gabriele Cavallaro, Dora B. Heras, Zebin Wu, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 329-345
Open Access | Times Cited: 6
Investigation of Machine Learning Using Satellite-Based Advanced Dvorak Technique Analysis Parameters to Estimate Tropical Cyclone Intensity
Timothy L. Olander, Anthony Wimmers, Christopher S. Velden, et al.
Weather and Forecasting (2021) Vol. 36, Iss. 6, pp. 2161-2186
Closed Access | Times Cited: 6
SAAC-Net: deep neural network-based model for atmospheric correction in remote sensing
Maitrik Shah, Mehul S. Raval, Srikrishnan Divakaran, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 23, pp. 7365-7389
Closed Access | Times Cited: 2
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 17, pp. 14831-14839
Open Access | Times Cited: 5
Comprehensive Review of Radiative Transfer Including AI-Based Techniques
Quanhua Liu, Yingtao Ma
Elsevier eBooks (2024)
Closed Access
Cyclone Intensity Estimation: A Studyof Neural Architecture Search andTransfer Learning in CNNs
Kishan Babu Kancharagunta, AjayDilipkumar Marapatla, Harikesh Manchala, et al.
Research Square (Research Square) (2024)
Open Access
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