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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:

Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods
Sharon Gomes Ribeiro, Adunias dos Santos Teixeira, Márcio Regys Rabelo de Oliveira, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4752-4752
Open Access | Times Cited: 25

Showing 25 citing articles:

Estimation of Soil Organic Carbon Content in Coastal Wetlands with Measured VIS-NIR Spectroscopy Using Optimized Support Vector Machines and Random Forests
Jingru Song, Junhai Gao, Yongbin Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4372-4372
Open Access | Times Cited: 28
Partial least square regression based machine learning models for soil organic carbon prediction using visible–near infrared spectroscopy
Bappa Das, Debashis Chakraborty, Vinod Kumar Singh, et al.
Geoderma Regional (2023) Vol. 33, pp. e00628-e00628
Closed Access | Times Cited: 19
Study on the Extraction of Topsoil-Loss Areas of Cultivated Land Based on Multi-Source Remote Sensing Data
Xinle Zhang, Chuan Qin, S. Ma, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 547-547
Open Access
Predicting the Surface Soil Texture of Cultivated Land via Hyperspectral Remote Sensing and Machine Learning: A Case Study in Jianghuai Hilly Area
Banglong Pan, Shutong Cai, Minle Zhao, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9321-9321
Open Access | Times Cited: 9
Multi-scale spatial and spectral feature fusion for soil carbon content prediction based on hyperspectral images
Xueying Li, Zongmin Li, Huimin Qiu, et al.
Ecological Indicators (2024) Vol. 160, pp. 111843-111843
Open Access | Times Cited: 3
Estimating Forest Soil Properties for Humus Assessment—Is Vis-NIR the Way to Go?
Felix Thomas, Rainer Petzold, Solveig Landmark, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1368-1368
Open Access | Times Cited: 11
Spectral Data-Driven Prediction of Soil Properties Using LSTM-CNN-Attention Model
Yiqiang Liu, Luming Shen, Xinghui Zhu, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11687-11687
Open Access | Times Cited: 2
Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils
Nandkishor M. Dhawale, Viacheslav I. Adamchuk, Shiv O. Prasher, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2556-2556
Open Access | Times Cited: 10
Rapid characterization of soil horizons for different soil series utilizing Vis-NIR spectral information
Mehmet Alı Çullu, Hamdiye Şeker, Gafur GÖZÜKARA, et al.
Geoderma Regional (2024) Vol. 38, pp. e00853-e00853
Closed Access | Times Cited: 1
Integration of remote sensing and artificial neural networks for prediction of soil organic carbon in arid zones
Mohamed Gouda, Mohamed Abu-hashim, Attyat Nassrallah, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
Estimation of Soil Organic Carbon Content Using Visible and Near-Infrared Spectroscopy in the Red River Delta, Vietnam
Nguyen-Xuan Hau, Nguyen-Thanh Tuan, Lai-Quang Trung, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105253-105253
Closed Access | Times Cited: 1
Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale
Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7317-7317
Open Access | Times Cited: 1
Hyperspectral Inversion of Soil Carbon and Nutrient Contents in the Yellow River Delta Wetland
Leichao Nie, Zhiguo Dou, Lijuan Cui, et al.
Diversity (2022) Vol. 14, Iss. 10, pp. 862-862
Open Access | Times Cited: 5
Soil organic matter prediction with benchtop and implement‐mounted optical reflectance sensing approaches
Lance S. Conway, Kenneth A. Sudduth, Newell R. Kitchen, et al.
Soil Science Society of America Journal (2022) Vol. 86, Iss. 6, pp. 1652-1664
Closed Access | Times Cited: 3
Research Gaps in Understanding, Encouraging and Financing Long-Term Soil Carbon Storage
Petr Blížkovský, Karel Klem, Lubor Lacina, et al.
(2024)
Closed Access
Inversion of soil carbon, nitrogen, and phosphorus in the Yellow River Wetland of Shaanxi Province using field in situ hyperspectroscopy
Leichao Nie, Keying Qu, Lijuan Cui, et al.
Frontiers in Soil Science (2024) Vol. 4
Open Access
A review of spectral feature extraction and multi-feature fusion methods in predicting soil organic carbon
Xueying Li, Huimin Qiu, Pingping Fan
Applied Spectroscopy Reviews (2024), pp. 1-24
Closed Access
Estimating the Canopy Nitrogen Content in Maize by Using the Transform-Based Dynamic Spectral Indices and Random Forest
Shuting Yang, J. Li, Li Ji, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 8011-8011
Open Access
Identifying the Vertical Stratification of Sediment Samples by Visible and Near-Infrared Spectroscopy
Pingping Fan, Zongchao Jia, Huimin Qiu, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6610-6610
Open Access
Prediction of copper contamination in soil across EU using spectroscopy and machine learning: handling class imbalance problem
Chongchong Qi, Nana Zhou, Tao Hu, et al.
Smart Agricultural Technology (2024), pp. 100728-100728
Open Access
Soil Organic Matter Inversion Based on Imaging Spectral Data in Straw-Covered Noncultivated Land
WeiYi Lu, Huishi Du, YuHan Chen
Journal of Sensors (2023) Vol. 2023, pp. 1-7
Open Access | Times Cited: 1
Soil Organic Carbon Prediction Using Digital Color Sensor in Peru
Elida Montero, Alex Vásquez, Laura Alayo, et al.
Communications in computer and information science (2023), pp. 222-233
Closed Access
Reflectance spectroscopy in the prediction of soil organic carbon associated with humic substances
Sharon Gomes Ribeiro, Márcio Regys Rabelo de Oliveira, Laurent Lopes, et al.
Revista Brasileira de Ciência do Solo (2023) Vol. 47
Open Access
Spectral analysis of soils in the lower course of the Acaraú River, Northeastern Brazil
Renato Ramos da Silva, G.S. Valladares, Marcos Gervásio Pereira
Revista Brasileira de Ciências Agrárias - Brazilian Journal of Agricultural Sciences (2022) Vol. 17, Iss. 2, pp. 1-11
Open Access
Partial Least Square Regression Combined Models Significantly Improve the Predictive Performance of Soil Organic Carbon from North-West India Using Visible–Near Infrared Spectroscopy
Bappa Das, Debashis Chakraborty, VK Singh, et al.
SSRN Electronic Journal (2022)
Closed Access
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