Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Modeling the climate suitability of tea [Camellia sinensis(L.) O. Kuntze] in Sri Lanka in response to current and future climate change scenarios
S. Jayasinghe, Lalit Kumar
Agricultural and Forest Meteorology (2019) Vol. 272-273, pp. 102-117
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on Maxent model
Yi Zhao, Xiangwen Deng, Wenhua Xiang, et al.
Ecological Informatics (2021) Vol. 64, pp. 101393-101393
Closed Access | Times Cited: 123
Climate change and future of agri-food production
Lalit Kumar, Ngawang Chhogyel, Tharani Gopalakrishnan, et al.
Elsevier eBooks (2022), pp. 49-79
Closed Access | Times Cited: 111
Impacts of climate change on agro-climatic suitability of major food crops in Ghana
Abel Chemura, Bernhard Schauberger, Christoph Gornott
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0229881-e0229881
Open Access | Times Cited: 85
Simulating spatial change of mangrove habitat under the impact of coastal land use: Coupling MaxEnt and Dyna-CLUE models
Yuyu Wang, Bixiao Chao, Peng Dong, et al.
The Science of The Total Environment (2021) Vol. 788, pp. 147914-147914
Closed Access | Times Cited: 72
Assessment of suitable cultivation region for Panax notoginseng under different climatic conditions using MaxEnt model and high-performance liquid chromatography in China
Peng Zhan, Feiyang Wang, Pengguo Xia, et al.
Industrial Crops and Products (2021) Vol. 176, pp. 114416-114416
Closed Access | Times Cited: 71
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model
Zayneb Soilhi, Najla Sayari, Nadia Benalouache, et al.
Ecological Informatics (2021) Vol. 68, pp. 101533-101533
Closed Access | Times Cited: 62
Habitat protection and planning for three Ephedra using the MaxEnt and Marxan models
Ping He, Jiaying Li, Yunfeng Li, et al.
Ecological Indicators (2021) Vol. 133, pp. 108399-108399
Open Access | Times Cited: 57
The current and future potential geographical distribution of Nepeta crispa Willd., an endemic, rare and threatened aromatic plant of Iran: Implications for ecological conservation and restoration
Shirin Mahmoodi, Mehdi Heydari, Kourosh Ahmadi, et al.
Ecological Indicators (2022) Vol. 137, pp. 108752-108752
Open Access | Times Cited: 45
Dataset of the suitability of major food crops in Africa under climate change
Abel Chemura, Stephanie Gleixner, Christoph Gornott
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Comprehensive review of mapping climate change impacts on tea cultivation: bibliometric and content analysis of trends, influences, adaptation strategies, and future directions
Altyeb Ali Abaker Omer, Chunhua Zhang, Jie Liu, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access | Times Cited: 1
Sustainable and scalable detection: Paper-based analytical devices and miniaturized detection systems for modern diagnostics
Ahmed Isa, Mahdi Gharibi, Ahmet Çetinkaya, et al.
Microchemical Journal (2025), pp. 113210-113210
Closed Access | Times Cited: 1
Modelling Climate Suitability for Rainfed Maize Cultivation in Kenya Using a Maximum Entropy (MaxENT) Approach
Benjamin Kipkemboi Kogo, Lalit Kumar, Richard Koech, et al.
Agronomy (2019) Vol. 9, Iss. 11, pp. 727-727
Open Access | Times Cited: 66
Assessment of Potential Land Suitability for Tea (Camellia sinensis (L.) O. Kuntze) in Sri Lanka Using a GIS-Based Multi-Criteria Approach
S. Jayasinghe, Lalit Kumar, Janaki Sandamali
Agriculture (2019) Vol. 9, Iss. 7, pp. 148-148
Open Access | Times Cited: 58
Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement
Wenjia Hu, Yuyu Wang, Peng Dong, et al.
Forest Ecology and Management (2020) Vol. 478, pp. 118517-118517
Closed Access | Times Cited: 56
Prediction of potentially suitable areas for the introduction of Magnolia wufengensis under climate change
Xiaodeng Shi, Qun Yin, Ziyang Sang, et al.
Ecological Indicators (2021) Vol. 127, pp. 107762-107762
Open Access | Times Cited: 49
Wildfire Risk Assessment and Zoning by Integrating Maxent and GIS in Hunan Province, China
Xuhong Yang, Xiaobin Jin, Yinkang Zhou
Forests (2021) Vol. 12, Iss. 10, pp. 1299-1299
Open Access | Times Cited: 44
Effects of extreme temperature on China’s tea production
Yulin Yan, Sujong Jeong, Chang‐Eui Park, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 4, pp. 044040-044040
Open Access | Times Cited: 42
Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model
K. B. Hebbar, Pulloott Sukumar Abhin, Sanjo Jose, et al.
Plants (2022) Vol. 11, Iss. 6, pp. 731-731
Open Access | Times Cited: 38
Mangrove distribution and afforestation potential in the Red Sea
Javier Blanco‐Sacristán, Kasper Johansen, Carlos M. Duarte, et al.
The Science of The Total Environment (2022) Vol. 843, pp. 157098-157098
Closed Access | Times Cited: 35
Predicting Habitat Suitability and Conserving Juniperus spp. Habitat Using SVM and Maximum Entropy Machine Learning Techniques
Abdolrahman Rahimian Boogar, Hassan Salehi, Hamid Reza Pourghasemi, et al.
Water (2019) Vol. 11, Iss. 10, pp. 2049-2049
Open Access | Times Cited: 44
Prediction of Bhutan's ecological distribution of rice (Oryza sativaL.) under the impact of climate change through maximum entropy modelling
Ngawang Chhogyel, Lalit Kumar, Yadunath Bajgai, et al.
The Journal of Agricultural Science (2020) Vol. 158, Iss. 1-2, pp. 25-37
Open Access | Times Cited: 43
Potential Impact of the Current and Future Climate on the Yield, Quality, and Climate Suitability for Tea [Camellia sinensis (L.) O. Kuntze]: A Systematic Review
S. Jayasinghe, Lalit Kumar
Agronomy (2021) Vol. 11, Iss. 4, pp. 619-619
Open Access | Times Cited: 38
Combining MaxEnt model and landscape pattern theory for analyzing interdecadal variation of sugarcane climate suitability in Guangxi, China
Suri Guga, Jie Xu, Dao Riao, et al.
Ecological Indicators (2021) Vol. 131, pp. 108152-108152
Open Access | Times Cited: 38
Genome-wide identification of UDP-glycosyltransferases in the tea plant (Camellia sinensis) and their biochemical and physiological functions
Timothy D. Hoffmann, Elisabeth Kurze, Jieren Liao, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 15
Predicting of the current and future geographical distribution of Laurus nobilis L. under the effects of climate change
Ayhan Akyol, Ömer K. Örücü, E. Seda Arslan, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 4
Closed Access | Times Cited: 14
Page 1 - Next Page

Scroll to top