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:

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

Showing 25 citing articles:

Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
A. T. M. Sakiur Rahman, Takahiro Hosono, John Quilty, et al.
Advances in Water Resources (2020) Vol. 141, pp. 103595-103595
Closed Access | Times Cited: 153

Machine Learning Based Hybrid System for Imputation and Efficient Energy Demand Forecasting
Prince Waqas Khan, Yung-Cheol Byun, Sang-Joon Lee, et al.
Energies (2020) Vol. 13, Iss. 11, pp. 2681-2681
Open Access | Times Cited: 63

Climatology and Evolution of the Antarctic Peninsula Föhn Wind‐Induced Melt Regime From 1979–2018
Matthew K. Laffin, Charles S. Zender, Sameer Singh, et al.
Journal of Geophysical Research Atmospheres (2021) Vol. 126, Iss. 4
Open Access | Times Cited: 38

Hybrid boosting algorithms and artificial neural network for wind speed prediction
Ayşe Tuğba Dosdoğru, Aslı Boru
International Journal of Hydrogen Energy (2021) Vol. 47, Iss. 3, pp. 1449-1460
Closed Access | Times Cited: 36

Uncertainty forecasting system for tropical cyclone tracks based on conformal prediction
Fan Meng, Tao Song
Expert Systems with Applications (2024) Vol. 249, pp. 123743-123743
Closed Access | Times Cited: 3

Tropical Cyclone Intensity Probabilistic Forecasting System Based on Deep Learning
Fan Meng, Kun‐Lin Yang, Yichen Yao, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 9

Prediction of River Stage Using Multistep-Ahead Machine Learning Techniques for a Tidal River of Taiwan
Wen‐Dar Guo, Wei‐Bo Chen, Sen‐Hai Yeh, et al.
Water (2021) Vol. 13, Iss. 7, pp. 920-920
Open Access | Times Cited: 20

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

Factors Affecting the Weakening Rate of Tropical Cyclones over the Western North Pacific
Rong Fei, Jing Xu, Yuqing Wang, et al.
Monthly Weather Review (2020) Vol. 148, Iss. 9, pp. 3693-3712
Open Access | Times Cited: 21

Probabilistic forecasting of tropical cyclones intensity using machine learning model
Meng Fan, Yi-Chen Yao, Zhibin Wang, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 4, pp. 044042-044042
Open Access | Times Cited: 7

SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction
Guangning Xu, Kenghong Lin, Xutao Li, et al.
Pattern Recognition Letters (2021) Vol. 155, pp. 121-127
Closed Access | Times Cited: 15

A Machine Learning (ML)-Based Approach to Improve Tropical Cyclone Intensity Prediction of NCMRWF Ensemble Prediction System
Sushant Kumar, Anumeha Dube, Raghavendra Ashrit, et al.
Pure and Applied Geophysics (2022) Vol. 180, Iss. 1, pp. 261-275
Closed Access | Times Cited: 8

Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access | Times Cited: 1

Machine learning in calibrating tropical cyclone intensity forecast of ECMWF EPS
K. Chan, Wai Kin Wong, Kin Chung Au‐Yeung
Meteorological Applications (2021) Vol. 28, Iss. 6
Open Access | Times Cited: 11

Error-correction-based data-driven models for multiple-hour-ahead river stage predictions: A case study of the upstream region of the Cho-Shui River, Taiwan
Wen‐Dar Guo, Wei‐Bo Chen, Chih-Hsin Chang
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101378-101378
Open Access | Times Cited: 4

Extreme Gradient Boosting Model for Rain Retrieval using Radar Reflectivity from Various Elevation Angles
Chih‐Chiang Wei, Chen-Chia Hsu
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2203-2203
Open Access | Times Cited: 11

Real-Time Rainfall Forecasts Based on Radar Reflectivity during Typhoons: Case Study in Southeastern Taiwan
Chih‐Chiang Wei, Chen-Chia Hsu
Sensors (2021) Vol. 21, Iss. 4, pp. 1421-1421
Open Access | Times Cited: 7

A Logistic-growth-equation-based Intensity Prediction Scheme for Western North Pacific Tropical Cyclones
Yanchen Zhou, Jiuwei Zhao, Ruifen Zhan, et al.
Advances in Atmospheric Sciences (2021) Vol. 38, Iss. 10, pp. 1750-1762
Closed Access | Times Cited: 5

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

Deep-TCP: Multi-source Data Fusion for Deep Learning-Powered Tropical Cyclone Intensity Prediction to Enhance Urban Sustainability
Shuailong Jiang, Maohan Liang, Chunzai Wang, et al.
Information Fusion (2024) Vol. 114, pp. 102670-102670
Closed Access

Mp[fgForecasting rainfall events based on zenith wet delay time series utilizing eXtreme Gradient Boosting (XGBoost)
Masoud Dehvari, Saeed Farzaneh, Ehsan Forootan
Advances in Space Research (2024)
Closed Access

Factors Affecting the Weakening Rate of Landfalling Tropical Cyclones Over China
Lu Liu, Zhaoming Liang, Yuqing Wang
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 22
Open Access

Global Predictability of Marine Heatwave Induced Rapid Intensification of Tropical Cyclones
Soheil Radfar, Ehsan Foroumandi, Hamed Moftakhari, et al.
Earth s Future (2024) Vol. 12, Iss. 12
Open Access

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