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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:

Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh
Swades Pal, Sonali Kundu, Susanta Mahato
Journal of Cleaner Production (2020) Vol. 257, pp. 120311-120311
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
Swapan Talukdar, Pankaj Singha, Susanta Mahato, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1135-1135
Open Access | Times Cited: 860
Cleaning the River Ganga: Impact of lockdown on water quality and future implications on river rejuvenation strategies
Venkatesh Dutta, Divya Dubey, Saroj Kumar
The Science of The Total Environment (2020) Vol. 743, pp. 140756-140756
Open Access | Times Cited: 167
Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin, Bangladesh
Swapan Talukdar, Kutub Uddin Eibek, Shumona Akhter, et al.
Ecological Indicators (2021) Vol. 126, pp. 107612-107612
Open Access | Times Cited: 123
Computational Intelligence: An Introduction
Arya Yaghoubzadeh-Bavandpour, Omid Bozorg‐Haddad, Babak Zolghadr‐Asli, et al.
Studies in computational intelligence (2022), pp. 411-427
Closed Access | Times Cited: 113
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 15
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 123
Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer
Adel Zghibi, Ali Mirchi, Mohamed Haythem Msaddek, et al.
Water (2020) Vol. 12, Iss. 9, pp. 2525-2525
Open Access | Times Cited: 105
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 26, pp. 34450-34471
Closed Access | Times Cited: 72
Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
Susanta Mahato, Swades Pal, Swapan Talukdar, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101175-101175
Open Access | Times Cited: 67
A new method to map groundwater-dependent ecosystem zones in semi-arid environments: A case study in Chile
Iongel Duran-Llacer, José Luis Arumí, Loretto Arriagada, et al.
The Science of The Total Environment (2021) Vol. 816, pp. 151528-151528
Closed Access | Times Cited: 59
Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin
Zitao Wang, Jianping Wang, Jinjun Han
Ecological Indicators (2022) Vol. 142, pp. 109256-109256
Closed Access | Times Cited: 41
Groundwater potential mapping in Jashore, Bangladesh
Kaniz Fatema, Md. Ashikur Rahman Joy, F.M. Rezvi Amin, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e13966-e13966
Open Access | Times Cited: 24
Evaluating the effects of landscape fragmentation on ecosystem services: A three-decade perspective
Gouranga Biswas, Anuradha Sengupta, Faisal M. Alfaisal, et al.
Ecological Informatics (2023) Vol. 77, pp. 102283-102283
Closed Access | Times Cited: 23
GIS-based multi-criteria decision-making techniques and analytical hierarchical process for delineation of groundwater potential
Boutheina Farhat, Dhekra Souissi, Rabeb Mahfoudhi, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 2
Closed Access | Times Cited: 22
Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in Asir region, Saudi Arabia
Javed Mallick, Swapan Talukdar, Majed Alsubih, et al.
Geocarto International (2021) Vol. 37, Iss. 15, pp. 4361-4389
Closed Access | Times Cited: 43
Spatio-Temporal Assessment of Groundwater Potential Zone in the Drought-Prone Area of Bangladesh Using GIS-Based Bivariate Models
Naser Ahmed, Muhammad Al-Amin Hoque, Biswajeet Pradhan, et al.
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3315-3337
Closed Access | Times Cited: 40
Constructing the machine learning techniques based spatial drought vulnerability index in Karnataka state of India
Sunil Saha, Priyanka Gogoi, Amiya Gayen, et al.
Journal of Cleaner Production (2021) Vol. 314, pp. 128073-128073
Closed Access | Times Cited: 40
Novel hybrid models to enhance the efficiency of groundwater potentiality model
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 34
Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western India
Brijesh Kumar Yadav, Lal Chand Malav, Abhishek Jangir, et al.
Journal of Contaminant Hydrology (2022) Vol. 253, pp. 104122-104122
Closed Access | Times Cited: 30
Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt
Hesham Morgan, Ahmed Madani, Hussien M. Hussien, et al.
Geoscience Letters (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 20
Mapping groundwater potentiality by using hybrid machine learning models under the scenario of climate variability: a national level study of Bangladesh
Showmitra Kumar Sarkar, Fahad Alshehri, Shahfahad, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 5
Assessing the potential of hard rock terrain to store groundwater using AHP techniques in the Vedavathi River Basin, India
Krishna Kumar S, S. A. Ahmed, Jyothika Karkala, et al.
Evolving Earth (2025) Vol. 3, pp. 100057-100057
Open Access
Damming effects on trophic and habitat state of riparian wetlands and their spatial relationship
Swapan Talukdar, Swades Pal, Anamika Chakraborty, et al.
Ecological Indicators (2020) Vol. 118, pp. 106757-106757
Open Access | Times Cited: 40
Simulation of the biochemical and chemical oxygen demand and total suspended solids in wastewater treatment plants: Data-mining approach
H. Asami, Mona Golabi, Mohammad Albaji
Journal of Cleaner Production (2021) Vol. 296, pp. 126533-126533
Closed Access | Times Cited: 38
Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management
Showmitra Kumar Sarkar, Swapan Talukdar, Atiqur Rahman, et al.
Frontiers in Engineering and Built Environment (2021) Vol. 2, Iss. 1, pp. 43-54
Open Access | Times Cited: 35
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