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.

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Showing 1-25 of 28 citing articles:

Forest Height Mapping Using Feature Selection and Machine Learning by Integrating Multi-Source Satellite Data in Baoding City, North China
Nan Zhang, Mingjie Chen, Fan Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4434-4434
Open Access | Times Cited: 41

Deep Siamese Networks Based Change Detection with Remote Sensing Images
Le Yang, Yiming Chen, Shiji Song, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3394-3394
Open Access | Times Cited: 45

A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm
Xinyu Li, Meng Zhang, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3910-3910
Open Access | Times Cited: 28

Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables
Gengsheng Fang, Hao Xu, Sheng-I Yang, et al.
Ecological Indicators (2023) Vol. 151, pp. 110296-110296
Open Access | Times Cited: 11

A Deep Learning-Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest
Xingyu Shen, Qingqing Huang, Xin Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3842-3842
Open Access | Times Cited: 18

Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume
Gengsheng Fang, Xiaobing He, Yuhui Weng, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2821-2821
Open Access | Times Cited: 9

Coniferous Plantations Growing Stock Volume Estimation Using Advanced Remote Sensing Algorithms and Various Fused Data
Xinyu Li, Jiangping Long, Meng Zhang, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3468-3468
Open Access | Times Cited: 20

A Combined Strategy of Improved Variable Selection and Ensemble Algorithm to Map the Growing Stem Volume of Planted Coniferous Forest
Xiaodong Xu, Hui Lin, Zhaohua Liu, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4631-4631
Open Access | Times Cited: 19

Comparison of Variable Selection Methods among Dominant Tree Species in Different Regions on Forest Stock Volume Estimation
Gengsheng Fang, Luming Fang, Laibang Yang, et al.
Forests (2022) Vol. 13, Iss. 5, pp. 787-787
Open Access | Times Cited: 9

Fine Extraction of Plateau Wetlands Based on a Combination of Object-Oriented Machine Learning and Ecological Rules: A Case Study of Dianchi Basin
Fangliang Cai, Bo‐Hui Tang, Ouyang Sima, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5364-5377
Open Access | Times Cited: 1

Interacting Sentinel-2A, Sentinel 1A, and GF-2 Imagery to Improve the Accuracy of Forest Aboveground Biomass Estimation in a Dry-Hot Valley
Zihao Liu, Tian‐Bao Huang, Xiaoli Zhang, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 731-731
Open Access | Times Cited: 1

Mapping fine-scale carbon sequestration benefits and landscape spatial drivers of urban parks using high-resolution UAV data
Huishan Cheng, Yihan Wang, Liang Shan, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122319-122319
Closed Access | Times Cited: 1

Mapping Growing Stem Volume Using Dual-Polarization GaoFen-3 SAR Images in Evergreen Coniferous Forests
Zilin Ye, Jiangping Long, Huanna Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2253-2253
Open Access | Times Cited: 3

Interpreting the Response of Forest Stock Volume with Dual Polarization SAR Images in Boreal Coniferous Planted Forest in the Non-Growing Season
Huanna Zheng, Jiangping Long, Zhuo Zang, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1700-1700
Open Access | Times Cited: 3

Evaluating the Transferability of Spectral Variables and Prediction Models for Mapping Forest Aboveground Biomass Using Transfer Learning Methods
Li Chen, Hui Lin, Jiangping Long, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5358-5358
Open Access | Times Cited: 3

QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation
Shumin Liu, Yunli Zhang, Limin Zhao, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3280-3280
Open Access | Times Cited: 4

Combination Strategies of Variables with Various Spatial Resolutions Derived from GF-2 Images for Mapping Forest Stock Volume
Zhaohua Liu, Jiangping Long, Hui Lin, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1175-1175
Open Access | Times Cited: 2

Mapping Forest Growing Stem Volume Using Novel Feature Evaluation Criteria Based on Spectral Saturation in Planted Chinese Fir Forest
Hui Lin, Wanguo Zhao, Jiangping Long, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 402-402
Open Access | Times Cited: 1

Comparison of Three Active Microwave Models of Forest Growing Stock Volume Based on the Idea of the Water Cloud Model
Tian Zhang, Hao Sun, Zhenheng Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2848-2848
Open Access | Times Cited: 1

Backscatter/FVC Space: A Method for Estimating Forest Growing Stock Volume Combining SAR and Optical Remote Sensing
Tian Zhang, Hao Sun, Zhenheng Xu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 8153-8163
Open Access

Atmospheric Correction of High Resolution Remote Sensing Images with Automatic Data Acquisition by Network
Xingyu Wan, Xingfeng Chen, Kaitao Li, et al.
(2024), pp. 17-21
Closed Access

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