OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A geographical similarity-based sampling method of non-fire point data for spatial prediction of forest fires
Quanli Xu, Wenhui Li, Jing Liu, et al.
Forest Ecosystems (2023) Vol. 10, pp. 100104-100104
Open Access | Times Cited: 13

Showing 13 citing articles:

Integrating meteorological and geospatial data for forest fire risk assessment
Zahra Parvar, Sepideh Saeidi, Seyedhamed Mirkarimi
Journal of Environmental Management (2024) Vol. 358, pp. 120925-120925
Closed Access | Times Cited: 14

Bias correction in species distribution models based on geographic and environmental characteristics
Quanli Xu, Xiao Wang, Junhua Yi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102604-102604
Open Access | Times Cited: 8

Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine
Tianwu Ma, Gang Wang, Rui Guo, et al.
Journal of Environmental Management (2024) Vol. 359, pp. 120966-120966
Closed Access | Times Cited: 6

Comparative Analysis of Machine Learning-Based Predictive Models for Fine Dead Fuel Moisture of Subtropical Forest in China
Xiang Hou, Zhiwei Wu, Shihao Zhu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 736-736
Open Access | Times Cited: 5

Determining representative pseudo-absences for invasive plant distribution modeling based on geographic similarity
Xiao Wang, Quanli Xu, Jing Liu
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 12

A PSO-CNN-Based Deep Learning Model for Predicting Forest Fire Risk on a National Scale
Xingyue You, Zhong Zheng, Kangquan Yang, et al.
Forests (2023) Vol. 15, Iss. 1, pp. 86-86
Open Access | Times Cited: 12

A spatial weight sampling method integrating the spatiotemporal pattern enhances the understanding of the occurrence mechanism of wildfires in the southwestern mountains of China
Wenlong Yang, Mingshan Wu, Lei Kong, et al.
Forest Ecology and Management (2025) Vol. 585, pp. 122619-122619
Closed Access

A novel adaptive similarity-based ecological niche model for the endangered Yunnan snub-nosed monkey (Rhinopithecus bieti) using UAV LiDAR data
Guoqiang Hou, Xin Shen, Sang Ge, et al.
Remote Sensing of Environment (2025) Vol. 326, pp. 114804-114804
Closed Access

FC-StackGNB: A novel machine learning modeling framework for forest fire risk prediction combining feature crosses and model fusion algorithm
Ye Su, Longlong Zhao, Xiaoli Li, et al.
Ecological Indicators (2024), pp. 112577-112577
Open Access | Times Cited: 3

A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility
Yongxing Lu, Honggen Xu, Can Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3663-3663
Open Access | Times Cited: 3

Unveiling spatiotemporal patterns of wildfire risk: a transformer-based earth system analysis
Jiankai Zhu, Xiaodong Liu, Pengle Cheng, et al.
Climate Dynamics (2024) Vol. 63, Iss. 1
Closed Access | Times Cited: 2

Quantifying vegetation change and driving mechanism analysis in Sichuan from 2000 to 2020
Lina Ning, Wenfu Peng, Yanan Yu, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4

Geospatial Sampling by Maximizing Information Entropy
Daiki Kimura, Naomi Simumba, Marcus Freitag, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 60, pp. 7483-7487
Closed Access

Analysis of Wildfire Hazard Potential in Zagros Forests: Investigating Spatial and Temporal Changes and Influential Factors
Negar Hamedi, Ali Esmaeily, Hassan Faramarzi, et al.
Deleted Journal (2024) Vol. 11, Iss. 2, pp. 101-115
Closed Access

Page 1

Scroll to top