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:

Bamboo Forest Mapping in China Using the Dense Landsat 8 Image Archive and Google Earth Engine
Shuhua Qi, Bin Song, Chong Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 762-762
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Unveiling China’s natural and planted forest spatial–temporal dynamics from 1990 to 2020
Kai Cheng, Haitao Yang, Hongcan Guan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 37-50
Closed Access | Times Cited: 33

Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau
Senyao Feng, Wenlong Li, Jing Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5361-5361
Open Access | Times Cited: 37

Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020
Chenchen Zhang, Xiangming Xiao, Liangcheng Zhao, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103348-103348
Open Access | Times Cited: 18

The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape
Collins Matiza, Onisimo Mutanga, John Odindi, et al.
Ecological Informatics (2024) Vol. 80, pp. 102472-102472
Open Access | Times Cited: 8

A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods
Lihui Zhong, Zhengquan Dai, Panfei Fang, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 852-852
Open Access | Times Cited: 6

Determining changes in microbial nutrient limitations in bamboo soils under different management practices via enzyme stoichiometry
Xiaoping Zhang, Qiaoling Li, Zheke Zhong, et al.
CATENA (2023) Vol. 223, pp. 106939-106939
Closed Access | Times Cited: 12

Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China
Bo Wang, Hong Zhao, Xiaoyi Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 312-323
Closed Access | Times Cited: 4

Identification of Bamboo Species Based on Extreme Gradient Boosting (XGBoost) Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery
Guoli Zhou, Zhongyun Ni, Yinbing Zhao, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5434-5434
Open Access | Times Cited: 19

Research on Bamboo Furniture Design Based on D4S (Design for Sustainability)
Deng Wen-xin, Hong Lin, Mu Jiang
Sustainability (2023) Vol. 15, Iss. 11, pp. 8832-8832
Open Access | Times Cited: 10

Tree Species Classification Using UAV-Based RGB Images and Spectral Information on the Loess Plateau, China
Zhen Li, Shichuan Yu, Quanping Ye, et al.
Drones (2025) Vol. 9, Iss. 4, pp. 296-296
Open Access

Mapping Large-Scale Bamboo Forest Based on Phenology and Morphology Features
Xueliang Feng, Shen Tan, Yun Dong, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 515-515
Open Access | Times Cited: 8

A TAM-Based Study on the Adoption of Digital Transformation in the Maritime Transportation Logistics Sector
Orçun Gündoğan, Tuba Keçeci
Journal of ETA Maritime Science (2024) Vol. 12, Iss. 1, pp. 92-105
Open Access | Times Cited: 2

Applying deep learning to manage urban ecosystems in arid Abha, Saudi Arabia: Remote sensing-based modelling for ecological condition assessment and decision-making
Saeed Alqadhi, Ahmed Ali Bindajam, Javed Mallick, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25731-e25731
Open Access | Times Cited: 2

Improved mapping of highland bamboo forests using Sentinel-2 time series and machine learning in Google Earth Engine
Dagnew Yebeyen, Binyam Tesfaw Hailu, Worku Zewdie, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 2

Monitoring Damage Caused by Pantana phyllostachysae Chao to Moso Bamboo Forests Using Sentinel-1 and Sentinel-2 Images
Xuying Huang, Qi Zhang, Lu Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 5012-5012
Open Access | Times Cited: 9

Mapping the Distribution and Dynamics of Coniferous Forests in Large Areas from 1985 to 2020 Combining Deep Learning and Google Earth Engine
Lizhi Liu, Qiuliang Zhang, Ying Guo, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1235-1235
Open Access | Times Cited: 4

New landscape-perspective exploration of Moso bamboo forests under on/off-year phenomena and human activities
Longwei Li, Huizi Zhu, Tianzhen Wu, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 4

Diversity and distribution of bamboo‐feeding true bugs in China
Kun Jiang, Juhong Chen, Shujing Wang, et al.
Ecology and Evolution (2024) Vol. 14, Iss. 7
Open Access | Times Cited: 1

Effects of fermented bamboo powder on growth performance, apparent digestibility, carcass traits, and meat quality in growing-finishing pigs
Zi Zheng, Zhengqun Liu, Ning Li, et al.
Livestock Science (2023) Vol. 277, pp. 105358-105358
Closed Access | Times Cited: 3

Predicting the future landscape of Dhanbad District: an analysis of land-use change and urban sprawl through cloud computing and neural networks
Vivek Singh, Purnendu Sardar, Sukha Ranjan Samadder, et al.
Environment Development and Sustainability (2023)
Closed Access | Times Cited: 3

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