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:

Flood hazards and susceptibility detection for Ganga river, Bihar state, India: Employment of remote sensing and statistical approaches
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Results in Engineering (2023) Vol. 21, pp. 101665-101665
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

River stream flow prediction through advanced machine learning models for enhanced accuracy
Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, et al.
Results in Engineering (2024) Vol. 22, pp. 102215-102215
Open Access | Times Cited: 19

An ideal location selection of electric vehicle charging stations: Employment of integrated analytical hierarchy process with geographical information system
Khalid Hardan Mhana, Hamid A. Awad
Sustainable Cities and Society (2024) Vol. 107, pp. 105456-105456
Closed Access | Times Cited: 12

A novel strategy for flood flow Prediction: Integrating Spatio-Temporal information through a Two-Dimensional hidden layer structure
Yi-yang Wang, Wenchuan Wang, Dongmei Xu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131482-131482
Closed Access | Times Cited: 9

Enhanced machine learning models development for flash flood mapping using geospatial data
Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, et al.
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 3, pp. 1087-1107
Closed Access | Times Cited: 8

Navigating the Challenges of Rainfall Variability: Precipitation Forecasting using Coalesce Model
Suraj Kumar Bhagat
Water Resources Management (2025)
Closed Access | Times Cited: 1

Mapping of groundwater potential zones in a drought prone Marathwada Region using frequency ratio and statistical index methods, India
Uttam Pawar, Worawit Suppawimut, Upaka Rathnayake
Results in Engineering (2024) Vol. 22, pp. 101994-101994
Open Access | Times Cited: 8

A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers
Vikram Kumar, Selim Unal, Suraj Kumar Bhagat, et al.
Results in Engineering (2024) Vol. 22, pp. 102044-102044
Open Access | Times Cited: 6

Analysis of hydrological changes in the Banas River: Analysing Bisalpur Dam impact and trends of the water scarcity
Saurabh Singh, Suraj Kumar Singh, Shruti Kanga, et al.
Results in Engineering (2024) Vol. 22, pp. 101978-101978
Open Access | Times Cited: 4

Enhanced remote sensing and deep learning aided water quality detection in the Ganges River, India supporting monitoring of aquatic environments
Lavanya Kandasamy, Anand Mahendran, Sai Harsha Varma Sangaraju, et al.
Results in Engineering (2024), pp. 103604-103604
Open Access | Times Cited: 4

The issue of using annual rainfall maps in multi-criteria analysis to identify flood-prone areas
Faicel Tout, Nouh Rebouh, Haythem Dinar, et al.
Geomatics Landmanagement and Landscape (2025), Iss. 4
Open Access

Assessment of freshwater ecosystem health condition based on fish habitats using a holistic modelling approach
Vicky Anand, Bakimchandra Oinam, Shailesh Kumar Singh, et al.
Discover Water (2025) Vol. 5, Iss. 1
Open Access

Flood susceptibility assessment using deep neural networks and open-source spatial datasets in transboundary river basin
Huu Duy Nguyen, Dinh Kha Dang, H Truong, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2025)
Closed Access

Transfer learning-based deep learning models for flood and erosion detection in coastal area of Algeria
Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Integrated optical and SAR data analysis for the monsoonal flood hazard mapping in the Tawi Basin Northwest Himalaya
Ajay Kumar Taloor, Varun Khajuria, Savati Sharma, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103948-103948
Closed Access

Satellite-Driven Machine Learning Framework for Monitoring River Sediment Discharge: Integrating Sentinel-2 Spectral Data with Hydrometric Insights
Milad Ahmadi, Seyed Hossein Mohajeri, Changhyun Jun, et al.
Advances in Space Research (2025)
Closed Access

Hydrological responses projection to the potential impact of climate change under CMIP6 models scenarios in Omo River Basin, Ethiopia
Tolera Abdissa Feyissa, Tamene Adugna Demissie, Fokke Saathoff, et al.
Results in Engineering (2024) Vol. 23, pp. 102708-102708
Open Access | Times Cited: 2

A Decision-Making Framework for Prioritizing Reconstruction Projects in Post-Disaster Recovery
Ahmed Wajeh Mushtaha, Wesam Salah Alaloul, Abdullah O. Baarimah, et al.
Results in Engineering (2024) Vol. 25, pp. 103693-103693
Open Access | Times Cited: 2

Hydrological dynamics of the Kalisindh and Parbati Rivers: An integrated analysis in the context of the Eastern Rajasthan Canal Project (ERCP)
Saurabh Singh, Suraj Kumar Singh, Shruti Kanga, et al.
Results in Engineering (2024) Vol. 21, pp. 101960-101960
Open Access | Times Cited: 1

Assessing the accuracy and reliability of satellite-derived precipitation products in the Kosi River basin (India)
Aditya Kumar Singh, Vivekanand Singh
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 1

Deep Learning Prediction of Streamflow in Portugal
Rafael Francisco, José Pedro Matos
Hydrology (2024) Vol. 11, Iss. 12, pp. 217-217
Open Access | Times Cited: 1

Urbanization impact assessment on environment and transportation perspectives: Remote sensing-based approach application
Khalid Hardan Mhana, Shuhairy Norhisham, Herda Yati Binti Katman, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101228-101228
Closed Access

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