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 85 citing articles:

Mapping the presence and distribution of tree species in Canada's forested ecosystems
Txomin Hermosilla, Alex Bastyr, Nicholas C. Coops, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113276-113276
Open Access | Times Cited: 77

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review
Xin-Ru Feng, Heng-Chao Li, Rui Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 4414-4436
Open Access | Times Cited: 72

Understanding the cooling capacity and its potential drivers in urban forests at the single tree and cluster scales
Chengcong Wang, Zhibin Ren, Xinyue Chang, et al.
Sustainable Cities and Society (2023) Vol. 93, pp. 104531-104531
Closed Access | Times Cited: 53

Biodiversity and human health: A scoping review and examples of underrepresented linkages
Jake M. Robinson, Andrew C. Breed, Araceli Camargo, et al.
Environmental Research (2024) Vol. 246, pp. 118115-118115
Open Access | Times Cited: 25

Mapping Dominant Tree Species of German Forests
Torsten Welle, Lukas Aschenbrenner, Kevin Kuonath, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3330-3330
Open Access | Times Cited: 53

Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)
Chuanpeng Zhao, Mingming Jia, Zongming Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 201, pp. 209-225
Closed Access | Times Cited: 37

Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data
Ying Quan, Mingze Li, Yuanshuo Hao, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 35

Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models
Gorantla Indraja, Agarwal Aashi, Vamsi Krishna Vema
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 9

Comprehensive mapping of individual living and dead tree species using leaf-on and leaf-off ALS and CIR data in a complex temperate forest
Maciej Lisiewicz, Agnieszka Kamińska, Bartłomiej Kraszewski, et al.
Forestry An International Journal of Forest Research (2025)
Closed Access | Times Cited: 1

Urban greenspace under a changing climate: Benefit or harm for allergies and respiratory health?
Tianyu Zhao, Joachim Heinrich, Michael Bräuer, et al.
Environmental Epidemiology (2025) Vol. 9, Iss. 2, pp. e372-e372
Open Access | Times Cited: 1

Continental-scale hyperspectral tree species classification in the United States National Ecological Observatory Network
Sergio Marconi, Ben Weinstein, Sheng Zou, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113264-113264
Open Access | Times Cited: 35

Tree Species Classification of Backpack Laser Scanning Data Using the PointNet++ Point Cloud Deep Learning Method
Bingjie Liu, Shuxin Chen, Huaguo Huang, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3809-3809
Open Access | Times Cited: 32

Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China
Mengyu Wang, Yi Zheng, Chengquan Huang, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100032-100032
Open Access | Times Cited: 26

Spectral-temporal traits in Sentinel-1 C-band SAR and Sentinel-2 multispectral remote sensing time series for 61 tree species in Central Europe
Christian Schulz, Michael Förster, Stenka Vulova, et al.
Remote Sensing of Environment (2024) Vol. 307, pp. 114162-114162
Open Access | Times Cited: 6

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

Synergistic approach for land use and land cover dynamics prediction in Uttarakhand using cellular automata and Artificial neural network
Waiza Khalid, Syed Kausar Shamim, Ateeque Ahmad
GEOMATICA (2024) Vol. 76, Iss. 2, pp. 100017-100017
Open Access | Times Cited: 5

Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods
Bingjie Liu, Huaguo Huang, Yong Zhong Su, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5733-5733
Open Access | Times Cited: 23

Tree species classification in an extensive forest area using airborne hyperspectral data under varying light conditions
Wen Jia, Yong Pang
Journal of Forestry Research (2023) Vol. 34, Iss. 5, pp. 1359-1377
Closed Access | Times Cited: 12

Advances in Remote Sensing and Machine Learning Methods for Invasive Plants Study: A Comprehensive Review
Muhammad Murtaza Zaka, Alim Samat
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3781-3781
Open Access | Times Cited: 5

Temporal Transferability of Tree Species Classification in Temperate Forests with Sentinel-2 Time Series
Margot Verhulst, Stien Heremans, Matthew B. Blaschko, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2653-2653
Open Access | Times Cited: 4

Individual tree-based forest species diversity estimation by classification and clustering methods using UAV data
Xiuwen Li, Zhaoju Zheng, Cong Xu, et al.
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 10

基于改进U-Net网络的树种精细分类
蔡玉林 Cai Yulin, 高洪振 Gao Hongzhen, 范晓乐 Fan Xiaole, et al.
Laser & Optoelectronics Progress (2025) Vol. 62, Iss. 2, pp. 0228002-0228002
Closed Access

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