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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:

Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning
Raj Kumar Singh, Çhandrashekhar Biradar, Mukunda Dev Behera, et al.
Ecological Informatics (2023) Vol. 79, pp. 102408-102408
Open Access | Times Cited: 21

Showing 21 citing articles:

Spatio-temporal evolution characteristics and simulation prediction of carbon storage: A case study in Sanjiangyuan Area, China
Xinyan Wu, Caiting Shen, Linna Shi, et al.
Ecological Informatics (2024) Vol. 80, pp. 102485-102485
Open Access | Times Cited: 31
Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 12
Enhancing carbon stock estimation in forests: Integrating multi-data predictors with random forest method
Gabriel E. Suárez-Fernández, J. Martínez-Sánchez, Pedro Arias
Ecological Informatics (2025), pp. 102997-102997
Open Access | Times Cited: 1
Towards carbon neutrality: Enhancing CO2 sequestration by plants to reduce carbon footprint
Dawid Skrzypczak, Katarzyna Gorazda, Katarzyna Mikula, et al.
The Science of The Total Environment (2025) Vol. 966, pp. 178763-178763
Closed Access | Times Cited: 1
Dominant Expression of SAR Backscatter in Predicting Aboveground Biomass: Integrating Multi-Sensor Data and Machine Learning in Sikkim Himalaya
A. Jaya Prakash, Sujoy Mudi, Somnath Paramanik, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 4, pp. 871-883
Closed Access | Times Cited: 6
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios
Ming Ling, Zihao Feng, Zizhen Chen, et al.
Ecological Informatics (2024) Vol. 83, pp. 102790-102790
Open Access | Times Cited: 5
Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China
Zihao Liu, Tian‐Bao Huang, Yong Wu, et al.
Ecological Informatics (2024) Vol. 83, pp. 102796-102796
Open Access | Times Cited: 4
Linking meteorological and phenological observations in forests
Amar Prakash, Mukunda Dev Behera, M. Mukhopadhyay, et al.
Elsevier eBooks (2025), pp. 183-200
Closed Access
Significant rise in aerosol concentration in the past two decades over the Kalinga Nagar industrial area, Odisha, India
S. Vijaya Kumar, Pulakesh Das, Mukunda Dev Behera
Elsevier eBooks (2025), pp. 437-448
Closed Access
Earth observation for monitoring of shifting cultivation
Pulakesh Das, Mukunda Dev Behera, Saroj Kanta Barik, et al.
Elsevier eBooks (2025), pp. 201-216
Closed Access
A Synergistic Approach Using Machine Learning and Deep Learning for Forest Fire Susceptibility in Himalayan Forests
Parthiva Shome, A. Jaya Prakash, Mukunda Dev Behera, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Forest Aboveground Biomass Estimation in Küre Mountains National Park Using Multifrequency SAR and Multispectral Optical Data with Machine-Learning Regression Models
Eren Gürsoy ÖZDEMİR, Saygın Abdikan
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1063-1063
Open Access
Exploring bioderived mesoporous carbon for energy harvesting and sensing materials
Nidhi Gupta, Sushma Dave
Elsevier eBooks (2025), pp. 325-344
Closed Access
Forest aboveground biomass retrieval integrating ICESat-2, Landsat-8, and environmental factors
Shiping Ma, Jisheng Xia, Chun Wang, et al.
Ecological Informatics (2025), pp. 103194-103194
Open Access
Improvement of Winter Wheat Aboveground Biomass Estimation Using Digital Surface Model Information Extracted from Unmanned-Aerial-Vehicle-Based Multispectral Images
Yan Guo, Jia He, Huifang Zhang, et al.
Agriculture (2024) Vol. 14, Iss. 3, pp. 378-378
Open Access | Times Cited: 3
Modeling forest canopy structure and developing a stand health index using satellite remote sensing
Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William H. Livingston, et al.
Ecological Informatics (2024), pp. 102864-102864
Open Access | Times Cited: 3
A Communication-Efficient Federated Learning Framework for Sustainable Development Using Lemurs Optimizer
Mohammed Azmi Al‐Betar, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri, et al.
Algorithms (2024) Vol. 17, Iss. 4, pp. 160-160
Open Access | Times Cited: 1
Synergizing sustainability: a critical review on harnessing agroforestry for biomass, carbon sequestration, and water-food-energy nexus
Anamika Barman, Suman Dutta, Anurag Bera, et al.
Energy Ecology and Environment (2024) Vol. 9, Iss. 6, pp. 579-613
Closed Access | Times Cited: 1
Indicating Saturation Limits of Multi-sensor Satellite Data in Estimating Aboveground Biomass of a Mangrove Forest
Buddolla Jagadish, Mukunda Dev Behera, A. Jaya Prakash, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 11, pp. 2483-2500
Closed Access
Estimating Summer Maize Biomass by Integrating UAV Multispectral Imagery with Crop Physiological Parameters
Qi Yin, Xingjiao Yu, Zelong Li, et al.
Plants (2024) Vol. 13, Iss. 21, pp. 3070-3070
Open Access
Modelling height to crown base using non-parametric methods for mixed forests in China
Zeyu Zhou, Huiru Zhang, Ram P. Sharma, et al.
Ecological Informatics (2024), pp. 102957-102957
Open Access
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