Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 systematic quantitative review on the performance of some of the recent short-term rainfall forecasting techniques
Priya Shejule, Sreeja Pekkat
Journal of Water and Climate Change (2022) Vol. 13, Iss. 8, pp. 3004-3029
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Potential of Artificial Intelligence-Based Techniques for Rainfall Forecasting in Thailand: A Comprehensive Review
Muhammad Waqas, Usa Wannasingha Humphries, Angkool Wangwongchai, et al.
Water (2023) Vol. 15, Iss. 16, pp. 2979-2979
Open Access | Times Cited: 29
Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul, et al.
Forecasting (2024) Vol. 6, Iss. 1, pp. 81-99
Open Access | Times Cited: 5
Application research of combined model based on VMD and MOHHO in precipitable water vapor Prediction
Menggang Kou, Kequan Zhang, Wenyu Zhang, et al.
Atmospheric Research (2023) Vol. 292, pp. 106841-106841
Closed Access | Times Cited: 12
WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting
Christos Kaparakis, Siamak Mehrkanoon
Procedia Computer Science (2023) Vol. 222, pp. 223-232
Open Access | Times Cited: 11
Artificial Intelligence and Numerical Weather Prediction Models: A Technical Survey
Muhammad Waqas, Usa Wannasingha Humphries, Bunthid Chueasa, et al.
Natural Hazards Research (2024)
Open Access | Times Cited: 3
Precipitation prediction based on variational mode decomposition combined with the crested porcupine optimization algorithm for long short-term memory model
Y.F. Hou, Xuefeng Deng, 裕章 宮下
AIP Advances (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 3
Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA
Annette I. Patton, Lisa Luna, Joshua J. Roering, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 10, pp. 3261-3284
Open Access | Times Cited: 6
Predictive heuristic control: Inferring risks from heterogeneous nowcast accuracy
Job Augustijn van der Werf, Zoran Kapelan, Jeroen Langeveld
Water Science & Technology (2023) Vol. 87, Iss. 4, pp. 1009-1028
Open Access | Times Cited: 5
An enhanced fourier neural operator surrogate for radioactive plume transport forecasting
Ali Ayoub, Haruko Wainwright, Lijing Wang, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3165-3175
Open Access | Times Cited: 1
A study of atmospheric gradient for the analysis of weather events and prediction of rainfall in the tropical region
Anik Naha Biswas
(2024)
Open Access | Times Cited: 1
Deep Learning for Precipitation Nowcasting: A Survey from the Perspective of Time Series Forecasting
Sojung An, Tae‐Jin Oh, Eun-Ha Sohn, et al.
(2024)
Open Access | Times Cited: 1
Probabilistic flood inundation prediction using copula-corrected precipitation forecast
S. L. Kesav Unnithan, Basudev Biswal, Christoph Rüdiger, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Precipitation nowcasting with generative diffusion models
Andrea Asperti, Fabio Merizzi, Alberto Paparella, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access | Times Cited: 1
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting
Sojung An, Tae-Jin Oh, Eun-Ha Sohn, et al.
Expert Systems with Applications (2024), pp. 126301-126301
Open Access | Times Cited: 1
Assessment of deterministic and probabilistic precipitation nowcasting techniques over New York metropolitan area
Achraf Tounsi, Marouane Temimi, Mohamed Abdelkader, et al.
Environmental Modelling & Software (2023) Vol. 168, pp. 105803-105803
Closed Access | Times Cited: 3
Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site
Nazzareno Diodato, Maria Lanfredi, Gianni Bellocchi
Environmental Research Climate (2023) Vol. 2, Iss. 4, pp. 045011-045011
Open Access | Times Cited: 3
Landslide initiation thresholds in data sparse regions: Application to landslide early warning criteria in Sitka, Alaska, USA
Annette I. Patton, Lisa Luna, Joshua J. Roering, et al.
(2023)
Open Access | Times Cited: 2
Real-time GNSS tropospheric parameter prediction of extreme rainfall events in China based on WRF multi-source data assimilation
Pengzhi Wei, Jianhui Liu, Shirong Ye, et al.
Advances in Space Research (2023) Vol. 73, Iss. 3, pp. 1611-1629
Closed Access | Times Cited: 2
A hybrid prediction framework combining deep neural network and modified optimization algorithm for water vapor prediction
Wenyu Zhang, Bingyan Li, Xinyu Zhang, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 8, pp. 7793-7810
Closed Access
Extreme rainfall forecasting using a hybrid model approach - A case study of the Ajay River basin
Shivanand Mandraha
Research Square (Research Square) (2024)
Open Access
Advanced Monthly Rainfall Forecasting in Southern Lazio: Integrating Climatic Indices, Classical or Deep Neural Networks, and a Feature Selection Algorithm
Fabio Di Nunno, Francesco Granata
Water Cycle (2024)
Open Access
Small-Scale Short-Term Spatio-Temporal Rainfall Prediction Based on EBK, GCN and Bi-LSTM Model
Jiajing Cai, Xiang Ji, Jinghe Zhou, et al.
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 869-875
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
Predicting the flood peak arrival time via a comprehensive machine learning framework: case studies in Changhua and Tunxi basins, China
Shi Zhou, Xiaona Liu
Journal of Water and Climate Change (2024) Vol. 16, Iss. 1, pp. 142-159
Closed Access
Comment on egusphere-2023-25

(2023)
Open Access
Page 1 - Next Page

Scroll to top