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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:

Flooding and its relationship with land cover change, population growth, and road density
Mahfuzur Rahman, Chen Ningsheng, Golam Iftekhar Mahmud, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101224-101224
Open Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 177
Land use/land cover prediction and analysis of the middle reaches of the Yangtze River under different scenarios
Shengqing Zhang, Peng Yang, Jun Xia, et al.
The Science of The Total Environment (2022) Vol. 833, pp. 155238-155238
Closed Access | Times Cited: 132
Impacts of disaster and land-use change on food security and adaptation: Evidence from the delta community in Bangladesh
Afshana Parven, Indrajit Pal, Apichon Witayangkurn, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 78, pp. 103119-103119
Closed Access | Times Cited: 72
Flash Flood Susceptibility Assessment and Zonation by Integrating Analytic Hierarchy Process and Frequency Ratio Model with Diverse Spatial Data
Aqil Tariq, Jianguo Yan, Bushra Ghaffar, et al.
Water (2022) Vol. 14, Iss. 19, pp. 3069-3069
Open Access | Times Cited: 69
The extraordinary Zhengzhou flood of 7/20, 2021: How extreme weather and human response compounding to the disaster
Xiaona Guo, Jie Cheng, Chenglong Yin, et al.
Cities (2022) Vol. 134, pp. 104168-104168
Closed Access | Times Cited: 67
An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility
Mo Wang, Yingxin Li, Haojun Yuan, et al.
Ecological Indicators (2023) Vol. 156, pp. 111137-111137
Open Access | Times Cited: 57
A review of recent advances in urban flood research
Candace Agonafir, Tarendra Lakhankar, R. Khanbilvardi, et al.
Water Security (2023) Vol. 19, pp. 100141-100141
Open Access | Times Cited: 56
Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote sensing data
Aqil Tariq, Yan Jiango, Qingting Li, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13212-e13212
Open Access | Times Cited: 50
Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms
Muhammad Majeed, Linlin Lu, Muhammad Mushahid Anwar, et al.
Frontiers in Environmental Science (2023) Vol. 10
Open Access | Times Cited: 46
Cost of high-level flooding as a consequence of climate change driver?: A case study of China’s flood-prone regions
Md. Ziaul Islam, Chao Wang
Ecological Indicators (2024) Vol. 160, pp. 111944-111944
Open Access | Times Cited: 19
GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan
Muhammad Tayyab, Jiquan Zhang, Muhammad Hussain, et al.
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1864-1864
Open Access | Times Cited: 79
Prediction of the future urban heat island intensity and distribution based on landscape composition and configuration: A case study in Hangzhou
Chuhui Shen, Hao Hou, Yaoyao Zheng, et al.
Sustainable Cities and Society (2022) Vol. 83, pp. 103992-103992
Closed Access | Times Cited: 57
The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images
Omid Ghorbanzadeh, Khalil Gholamnia, Pedram Ghamisi
Big Earth Data (2022) Vol. 7, Iss. 4, pp. 961-985
Open Access | Times Cited: 53
Investigating the Impact of Land Use/Land Cover Change on Present and Future Land Surface Temperature (LST) of Chittagong, Bangladesh
Shahriar Abdullah, Dhrubo Barua, Sk. Md. Abubakar Abdullah, et al.
Earth Systems and Environment (2022) Vol. 6, Iss. 1, pp. 221-235
Closed Access | Times Cited: 46
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques
Subbarayan Saravanan, Devanantham Abijith
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15252-15281
Closed Access | Times Cited: 44
LULC changes to riverine flooding: A case study on the Jamuna River, Bangladesh using the multilayer perceptron model
Md Mehedi Hasan, Md Sahjalal Mondol Nilay, Nahid Hossain Jibon, et al.
Results in Engineering (2023) Vol. 18, pp. 101079-101079
Open Access | Times Cited: 26
Artificial neural network for flood susceptibility mapping in Bangladesh
Rhyme Rubayet Rudra, Showmitra Kumar Sarkar
Heliyon (2023) Vol. 9, Iss. 6, pp. e16459-e16459
Open Access | Times Cited: 25
Land use/land cover change and soil property variation increased flood risk in the black soil region, China, in the last 40 years
Shuai Ma, Liangjie Wang, Jiang Jiang, et al.
Environmental Impact Assessment Review (2023) Vol. 104, pp. 107314-107314
Closed Access | Times Cited: 22
Mapping social vulnerability to floods. A comprehensive framework using a vulnerability index approach and PCA analysis
Iulia Ajtai, Horațiu Ștefănie, Cristian Maloş, et al.
Ecological Indicators (2023) Vol. 154, pp. 110838-110838
Open Access | Times Cited: 21
Enhancing Flood Risk Analysis in Harris County: Integrating Flood Susceptibility and Social Vulnerability Mapping
Hemal Dey, Wanyun Shao, Md. Munjurul Haque, et al.
Journal of Geovisualization and Spatial Analysis (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 10
Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)
Asmae Aichi, Mustapha Ikirri, Mohamed Ait Haddou, et al.
Results in Earth Sciences (2024) Vol. 2, pp. 100019-100019
Open Access | Times Cited: 9
Urban flood susceptibility mapping using frequency ratio and multiple decision tree-based machine learning models
Hemal Dey, Wanyun Shao, Hamid Moradkhani, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 10365-10393
Closed Access | Times Cited: 9
Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions
Hajra Mustafa, Aqil Tariq, Hong Shu, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122490-122490
Closed Access | Times Cited: 7
Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau
Daouda Nsangou, Amidou Kpoumié, Zakari Mfonka, et al.
Scientific African (2021) Vol. 15, pp. e01043-e01043
Open Access | Times Cited: 47
National-scale flood risk assessment using GIS and remote sensing-based hybridized deep neural network and fuzzy analytic hierarchy process models: a case of Bangladesh
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12119-12148
Open Access | Times Cited: 28
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