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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:

Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review
Pramit Ghosh, Anirban Mukhopadhyay, Abhra Chanda, et al.
Remote Sensing Applications Society and Environment (2017) Vol. 5, pp. 64-77
Closed Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios
Rahel Hamad, Heiko Balzter, Kamal Kolo
Sustainability (2018) Vol. 10, Iss. 10, pp. 3421-3421
Open Access | Times Cited: 328
Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques
Shawky Mansour, Mohammed Ali K. Al-Belushi, Talal Al‐Awadhi
Land Use Policy (2019) Vol. 91, pp. 104414-104414
Closed Access | Times Cited: 302
Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model
Liang Zhou, Xuewei Dang, Qinke Sun, et al.
Sustainable Cities and Society (2020) Vol. 55, pp. 102045-102045
Closed Access | Times Cited: 295
Research on the spatiotemporal evolution of land use landscape pattern in a county area based on CA-Markov model
Fei Fu, Shuman Deng, Dan Wu, et al.
Sustainable Cities and Society (2022) Vol. 80, pp. 103760-103760
Closed Access | Times Cited: 140
Coupling and coordination analysis in urban agglomerations of China: Urbanization and ecological security perspectives
Peng Zeng, Xu Wei, Zhicheng Duan
Journal of Cleaner Production (2022) Vol. 365, pp. 132730-132730
Closed Access | Times Cited: 107
Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources Management
Mekonnen H. Daba, Songcai You
Sustainability (2022) Vol. 14, Iss. 3, pp. 1538-1538
Open Access | Times Cited: 90
Assessing the impacts of current and future changes of the planforms of river Brahmaputra on its land use-land cover
Jatan Debnath, Dhrubajyoti Sahariah, Durlov Lahon, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 4, pp. 101557-101557
Open Access | Times Cited: 74
Future Scenarios of Land Use/Land Cover (LULC) Based on a CA-Markov Simulation Model: Case of a Mediterranean Watershed in Morocco
Mohamed Beroho, Hamza Briak, El Khalil Cherif, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1162-1162
Open Access | Times Cited: 64
A novel and dynamic land use/cover change research framework based on an improved PLUS model and a fuzzy multiobjective programming model
Xianghui Xu, Weijiang Kong, Ligang Wang, et al.
Ecological Informatics (2024) Vol. 80, pp. 102460-102460
Open Access | Times Cited: 43
Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management
Mandip Banjara, Amrit Bhusal, Amrit Babu Ghimire, et al.
Geosciences (2024) Vol. 14, Iss. 2, pp. 40-40
Open Access | Times Cited: 18
Predicting land use changes and ecosystem service impacts with CA-Markov and machine learning techniques
S. M. Shravan Kumar, Chidanand Patil, Akkinepally Rithwik Vardhan, et al.
Environment Development and Sustainability (2025)
Closed Access | Times Cited: 2
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
Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil
Elias Rodrigues da Cunha, Celso Augusto Guimarães Santos, Richarde Marques da Silva, et al.
Land Use Policy (2020) Vol. 101, pp. 105141-105141
Closed Access | Times Cited: 136
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
Warning of negative effects of land-use changes on ecological security based on GIS
Hualin Xie, Yafen He, Yongrok Choi, et al.
The Science of The Total Environment (2019) Vol. 704, pp. 135427-135427
Closed Access | Times Cited: 124
Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in Iran
Hazhir Karimi, Javad Jafarnezhad, Jabbar Khaledi, et al.
Arabian Journal of Geosciences (2018) Vol. 11, Iss. 19
Closed Access | Times Cited: 107
Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata
Tingting Xu, Jay Gao, Giovanni Coco
International Journal of Geographical Information Science (2019) Vol. 33, Iss. 10, pp. 1960-1983
Closed Access | Times Cited: 106
Modeling and evaluating land-use/land-cover change for urban planning and sustainability: A case study of Dongying city, China
Chengdong Wang, Yutao Wang, Renqing Wang, et al.
Journal of Cleaner Production (2017) Vol. 172, pp. 1529-1534
Closed Access | Times Cited: 104
Future land use land cover scenario simulation using open source GIS for the city of Warangal, Telangana, India
B. Aneesha Satya, Shashi Mesapam, Deva Pratap
Applied Geomatics (2020) Vol. 12, Iss. 3, pp. 281-290
Closed Access | Times Cited: 94
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
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
Spatio-temporal analysis of land use and land cover change: a systematic model inter-comparison driven by integrated modelling techniques
Srishti Gaur, Ateeksha Mittal, Arnab Bandyopadhyay, et al.
International Journal of Remote Sensing (2020) Vol. 41, Iss. 23, pp. 9229-9255
Open Access | Times Cited: 79
Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model
Vinayak Bhanage, Han Soo Lee, Shirishkumar Gedem
Sustainability (2021) Vol. 13, Iss. 2, pp. 471-471
Open Access | Times Cited: 79
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
Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata–Markov Chain Approach
Melaku Bogale Fitawok, Ben Derudder, Amare Sewnet Minale, et al.
Land (2020) Vol. 9, Iss. 4, pp. 115-115
Open Access | Times Cited: 74
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