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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:

Urban Flood-Risk Assessment: Integration of Decision-Making and Machine Learning
Fereshteh Taromideh, Ramin Fazloula, Bahram Choubin, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4483-4483
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Optimization of water quality index models using machine learning approaches
Fei Ding, Wenjie Zhang, Shaohua Cao, et al.
Water Research (2023) Vol. 243, pp. 120337-120337
Closed Access | Times Cited: 82
Adapting cities to the surge: A comprehensive review of climate-induced urban flooding
Gangani Dharmarathne, Anushka Osadhi Waduge, Madhusha Bogahawaththa, et al.
Results in Engineering (2024) Vol. 22, pp. 102123-102123
Open Access | Times Cited: 53
Enhancing resilience of urban underground space under floods: Current status and future directions
Renfei He, Robert L. K. Tiong, Yong Yuan, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105674-105674
Closed Access | Times Cited: 23
A review of flood risk assessment frameworks and the development of hierarchical structures for risk components
Nazgol Tabasi, Mohammad Fereshtehpour, Bardia Roghani
Discover Water (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 2
Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022
Dharen Kumar Pandey, Ahmed Imran Hunjra, Ratikant Bhaskar, et al.
Resources Policy (2023) Vol. 86, pp. 104250-104250
Closed Access | Times Cited: 30
A novel approach for assessing flood risk with machine learning and multi-criteria decision-making methods
Sharareh Rashidi Shikhteymour, Moslem Borji, Mehdi Bagheri‐Gavkosh, et al.
Applied Geography (2023) Vol. 158, pp. 103035-103035
Closed Access | Times Cited: 29
Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters
Renfei He, Limao Zhang, Robert L. K. Tiong
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109453-109453
Closed Access | Times Cited: 28
Urban flood susceptibility mapping using remote sensing, social sensing and an ensemble machine learning model
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬
Sustainable Cities and Society (2024) Vol. 108, pp. 105508-105508
Closed Access | Times Cited: 16
Flood risk identification in high-density urban areas of Macau based on disaster scenario simulation
Rui Zhang, Yangli Li, Tian Chen, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 107, pp. 104485-104485
Closed Access | Times Cited: 11
Flood vulnerability assessment of Thailand's flood-prone Pathum Thani province and vulnerability mitigation strategies
Prinya Mruksirisuk, Nawhath Thanvisitthpon, Kewaree Pholkern, et al.
Journal of Environmental Management (2023) Vol. 347, pp. 119276-119276
Closed Access | Times Cited: 20
Risk assessment of flood disasters in the Poyang lake area
Xianmin Wang, Wenxue Chen, Jing Yin, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 100, pp. 104208-104208
Closed Access | Times Cited: 20
Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Employment of hydraulic model and social media data for flood hazard assessment in an urban city
Mao Ouyang, Shunji Kotsuki, Yuka Ito, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101261-101261
Closed Access | Times Cited: 24
Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
Anitabha Ghosh, Uday Chatterjee, Subodh Chandra Pal, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 15
Mapping flood vulnerability using an analytical hierarchy process (AHP) in the Metropolis of Mumbai
Rohit Mann, Anju Gupta
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 14
Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania
Daniel Constantin Diaconu, Romulus Costache, Abu Reza Md. Towfiqul Islam, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101892-101892
Open Access | Times Cited: 5
A Systematic Literature Review on Classification Machine Learning for Urban Flood Hazard Mapping
Maelaynayn El Baida, Mohamed Hosni, Farid Boushaba, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5823-5864
Closed Access | Times Cited: 5
The impact of sensory experiences on place attachment, place loyalty and civic participation: Evidence from Rasht, Iran
Haywantee Ramkissoon, Robert van der Veen, Aliakbar Salaripour, et al.
City Culture and Society (2024) Vol. 38, pp. 100592-100592
Closed Access | Times Cited: 4
Flood risk decomposed: optimized machine learning hazard mapping and multi-criteria vulnerability analysis in the city of Zaio, Morocco.
Maelaynayn El Baida, Farid Boushaba, Mimoun Chourak, et al.
Journal of African Earth Sciences (2024), pp. 105431-105431
Closed Access | Times Cited: 4
Simulating flood risk in Tampa Bay using a machine learning driven approach
Hemal Dey, Md. Munjurul Haque, Wanyun Shao, et al.
npj natural hazards. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
The impact of urbanization on urban flood risk of Nakhon Ratchasima, Thailand
Apinan Seemuangngam, Hanliang Lin
Applied Geography (2023) Vol. 162, pp. 103152-103152
Closed Access | Times Cited: 11
Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models
Okan Mert Katipoğlu, Metin Sarıgöl
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2205-2224
Closed Access | Times Cited: 10
A Preliminary Study on the Fuzzy Analytical Hierarchy Process (FAHP) for the Prioritization of Flash Flood Risk Index in Development Projects
Mohammad Syamsyul Hairi Saad, Mohamad Idris Ali, Putri Zulaiha Razi, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1444, Iss. 1, pp. 012015-012015
Open Access
Flood risk modelling by the synergistic approach of machine learning and best-worst method in Indus Kohistan, Western Himalaya
Ashfaq Ahmad, Jiangang Chen, Xiaohong Chen, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Machine learning applications in risk management: Trends and research agenda
Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Erica Agudelo-Ceballos, et al.
F1000Research (2025) Vol. 14, pp. 233-233
Open Access
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