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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:

Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models
Gorantla Indraja, Agarwal Aashi, Vamsi Krishna Vema
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 8

Showing 8 citing articles:

Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach
Khadim Hussain, Kaleem Mehmood, Yujun Sun, et al.
Annals of GIS (2024), pp. 1-28
Open Access | Times Cited: 20
Applying the water quality indices, geographical information system, and advanced decision-making techniques to assess the suitability of surface water for drinking purposes in Brahmani River Basin (BRB), Odisha
Abhijeet Das
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 1
Land-use simulation for synergistic pollution and carbon reduction: Scenario analysis and policy implications
Luyan Wu, Yanhu He, Qian Tan, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120603-120603
Closed Access | Times Cited: 6
Forecasting shoreline dynamics and land use/land cover changes in Balukhand-Konark Wildlife Sanctuary (India) using geospatial techniques and machine learning
Manoranjan Mishra, Debdeep Bhattacharyya, Brihaspati Mondal, et al.
The Science of The Total Environment (2025) Vol. 975, pp. 179207-179207
Closed Access
LULC change detection and future LULC modelling using RF and MLPNN-Markov algorithms in the uMngeni catchment, KwaZulu-Natal, South Africa
Orlando Bhungeni, Michael Gebreslasie, Ashadevi Ramjatan
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Significance of different probability distributions in flood frequency analysis of Brahmani-Baitarani River Basin, India
Robindro Singh Khwairakpam, Sananda Kundu
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Fusion of spectral and topographic features for land use mapping using a machine learning framework for a regional scale application
J. K. S. Sankalpa, A. M. R. W. S. D. Rathnayaka, P. G. N. Ishani, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access | Times Cited: 1
Comprehensive evaluation and future trend prediction of ecological security in Fuzhou City: a DIKW framework and multi-model integration analysis
Shuhui Lai, Xiaomei Li, Jinming Sha, et al.
Human and Ecological Risk Assessment An International Journal (2024) Vol. 30, Iss. 9-10, pp. 833-857
Closed Access
Spatiotemporal dynamics of land use land cover patterns in the middle Omo-Gibe River Basin, Ethiopia: machine learning, geospatial, and field survey integrated approach
Abera Abiyo Dofee, Pritam Chand
Modeling Earth Systems and Environment (2024) Vol. 11, Iss. 1
Closed Access
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