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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:

Predicting Spatial and Decadal LULC Changes Through Cellular Automata Markov Chain Models Using Earth Observation Datasets and Geo-information
Sudhir Kumar Singh, Sk. Mustak, Prashant K. Srivastava, et al.
Environmental Processes (2015) Vol. 2, Iss. 1, pp. 61-78
Open Access | Times Cited: 337

Showing 26-50 of 337 citing articles:

Characteristics of Spatial and Temporal Evolution of Coastal Wetland Landscape Patterns and Prediction Analysis—A Case Study of Panjin Wetland, China
Qian Cheng, Ruixin Chen, Wei Xu, et al.
Land (2025) Vol. 14, Iss. 1, pp. 118-118
Open Access | Times Cited: 2
Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India
Sudhir Kumar Singh, Prosper Basommi Laari, Sk. Mustak, et al.
Geocarto International (2017) Vol. 33, Iss. 11, pp. 1202-1222
Closed Access | Times Cited: 165
Cellular automata and Markov Chain (CA_Markov) model-based predictions of future land use and land cover scenarios (2015–2033) in Raya, northern Ethiopia
Eskinder Gidey, Oagile Dikinya, Reuben Sebego, et al.
Modeling Earth Systems and Environment (2017) Vol. 3, Iss. 4, pp. 1245-1262
Closed Access | Times Cited: 153
Impacts of future land cover and climate changes on runoff in the mostly afforested river basin in North China
Wenting Yang, Di Long, Peng Bai
Journal of Hydrology (2019) Vol. 570, pp. 201-219
Closed Access | Times Cited: 138
Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model
Maggie G. Munthali, Sk. Mustak, Abiodun M. Adeola, et al.
Remote Sensing Applications Society and Environment (2019) Vol. 17, pp. 100276-100276
Closed Access | Times Cited: 125
Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process
Biswajit Nath, Zhihua Wang, Yong Ge, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 2, pp. 134-134
Open Access | Times Cited: 125
Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata–Markov model
Yuting Lu, Penghai Wu, Xiaoshuang Ma, et al.
Environmental Monitoring and Assessment (2019) Vol. 191, Iss. 2
Closed Access | Times Cited: 116
Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model
Orsolya Varga, Robert Gilmore Pontius, Sudhir Kumar Singh, et al.
Ecological Indicators (2019) Vol. 101, pp. 933-942
Open Access | Times Cited: 115
An integrated approach to delineate the groundwater potential zones in Devdari watershed area of Akola district, Maharashtra, Central India
Chaitanya B. Pande, Kanak N. Moharir, Sudhir Kumar Singh, et al.
Environment Development and Sustainability (2019) Vol. 22, Iss. 5, pp. 4867-4887
Closed Access | Times Cited: 114
Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS®
Salim Lamine, George P. Petropoulos, Sudhir Kumar Singh, et al.
Geocarto International (2017) Vol. 33, Iss. 8, pp. 862-878
Closed Access | Times Cited: 111
Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and change detection
Pramit Verma, Aditya Raghubanshi, Prashant K. Srivastava, et al.
Modeling Earth Systems and Environment (2020) Vol. 6, Iss. 2, pp. 1045-1059
Closed Access | Times Cited: 107
Modeling land cover change based on an artificial neural network for a semiarid river basin in northeastern Brazil
Leonardo Silva, Ana Paula Campos Xavier, Richarde Marques da Silva, et al.
Global Ecology and Conservation (2019) Vol. 21, pp. e00811-e00811
Open Access | Times Cited: 104
An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
Santanu Dinda, Nilanjana Das Chatterjee, Subrata Ghosh
Ecological Indicators (2020) Vol. 121, pp. 107178-107178
Open Access | Times Cited: 98
Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)
Faisal Mumtaz, Yu Tao, Gerrit de Leeuw, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2987-2987
Open Access | Times Cited: 97
Agricultural growth and land use land cover change in peri-urban India
Sanoj Kumar Patel, Pramit Verma, Gopal Shankar Singh
Environmental Monitoring and Assessment (2019) Vol. 191, Iss. 9
Closed Access | Times Cited: 95
Analysis of the Current and Future Prediction of Land Use/Land Cover Change Using Remote Sensing and the CA-Markov Model in Majang Forest Biosphere Reserves of Gambella, Southwestern Ethiopia
Semegnew Tadese, Teshome Soromessa, Tesefaye Bekele
The Scientific World JOURNAL (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 93
Assessing sustainable development prospects through remote sensing: A review
Ram Avtar, Akinola Adesuji Komolafe, Asma Kouser, et al.
Remote Sensing Applications Society and Environment (2020) Vol. 20, pp. 100402-100402
Open Access | Times Cited: 92
Future land use land cover prediction with special emphasis on urbanization and wetlands
Vicky Anand, Bakimchandra Oinam
Remote Sensing Letters (2019) Vol. 11, Iss. 3, pp. 225-234
Closed Access | Times Cited: 86
Predicting and mapping land cover/land use changes in Erbil /Iraq using CA-Markov synergy model
Nabaz R. Khwarahm, Sarchil Qader, Korsh Ararat, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 393-406
Closed Access | Times Cited: 86
Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India
Devanantham Abijith, Subbarayan Saravanan
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 57, pp. 86055-86067
Closed Access | Times Cited: 84
Impacts of land use land cover change on runoff and sediment yield of Upper Tapi River Sub-Basin, India
Priyamitra Munoth, Rohit Goyal
International Journal of River Basin Management (2019) Vol. 18, Iss. 2, pp. 177-189
Closed Access | Times Cited: 83
Geospatial modelling of changes in land use/land cover dynamics using Multi-layer Perceptron Markov chain model in Rajshahi City, Bangladesh
Nataraj Narayan Dey, Abdullah Al Rakib, Abdulla ‐ Al Kafy, et al.
Environmental Challenges (2021) Vol. 4, pp. 100148-100148
Open Access | Times Cited: 78
Geospatial modeling to assess the past and future land use-land cover changes in the Brahmaputra Valley, NE India, for sustainable land resource management
Jatan Debnath, Dhrubajyoti Sahariah, Durlov Lahon, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 49, pp. 106997-107020
Closed Access | Times Cited: 70
Impacts of land use land cover change and climate change on river hydro-morphology- a review of research studies in tropical regions
Naomie M. Kayitesi, Alphonce C. Guzha, Grégoire Mariéthoz
Journal of Hydrology (2022) Vol. 615, pp. 128702-128702
Open Access | Times Cited: 68
Analysis of the Future Land Use Land Cover Changes in the Gaborone Dam Catchment Using CA-Markov Model: Implications on Water Resources
Botlhe Matlhodi, Piet K. Kenabatho, B.P. Parida, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2427-2427
Open Access | Times Cited: 67

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