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:

Bayesian maximum entropy approach and its applications: a review
Junyu He, Alexander Kolovos
Stochastic Environmental Research and Risk Assessment (2017) Vol. 32, Iss. 4, pp. 859-877
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

A review of geospatial exposure models and approaches for health data integration
Lara P. Clark, Daniel Zilber, Charles Schmitt, et al.
Journal of Exposure Science & Environmental Epidemiology (2024)
Open Access | Times Cited: 2

A Space-Time Study of Hemorrhagic Fever with Renal Syndrome (HFRS) and Its Climatic Associations in Heilongjiang Province, China
Junyu He, George Christakos, Wenyi Zhang, et al.
Frontiers in Applied Mathematics and Statistics (2017) Vol. 3
Open Access | Times Cited: 21

Application and Analysis of XCO2 Data from OCO Satellite Using a Synthetic DINEOF–BME Spatiotemporal Interpolation Framework
Yutong Jiang, Zekun Gao, Junyu He, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4422-4422
Open Access | Times Cited: 11

Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products
Zekun Gao, Yutong Jiang, Junyu He, et al.
Spatial Statistics (2023) Vol. 54, pp. 100741-100741
Closed Access | Times Cited: 6

Space-Time Ground-Level PM2.5 Distribution at the Yangtze River Delta: A Comparison of Kriging, LUR, and Combined BME-LUR Techniques
Longfei Xiao, George Christakos, Junyu He, et al.
Journal of Environmental Informatics (2020)
Open Access | Times Cited: 16

Improving geostatistical predictions of two environmental variables using Bayesian maximum entropy in the Sungun mining site
Safoura Rezaei, Enayatollah Ranjineh Khojasteh, Morovvat Faridazad
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 11, pp. 1775-1794
Closed Access | Times Cited: 16

A Comparative Assessment of Multisensor Data Merging and Fusion Algorithms for High-Resolution Surface Reflectance Data
Xiaoli Wei, Ni‐Bin Chang, Kaixu Bai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 4044-4059
Open Access | Times Cited: 15

Fusion of All-Weather Land Surface Temperature From AMSR-E and MODIS Data Using Random Forest Regression
Quan Zhang, Jie Cheng, Ninglian Wang
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 12

Space‐Time Characterization and Risk Assessment of Nutrient Pollutant Concentrations in China's Near Seas
Qutu Jiang, Junyu He, Jiaping Wu, et al.
Journal of Geophysical Research Oceans (2019) Vol. 124, Iss. 7, pp. 4449-4463
Closed Access | Times Cited: 12

Spatiotemporal patterns of precipitation based on the Bayesian maximum entropy method in a typical catchment of the Heihe River watershed, northwest China
Hong Wang, Chuanyan Zhao, Fei Zang, et al.
International Journal of Digital Earth (2022) Vol. 15, Iss. 1, pp. 911-933
Open Access | Times Cited: 8

Spatio-Temporal Prediction of Ground-Level Ozone Concentration Based on Bayesian Maximum Entropy by Combining Monitoring and Satellite Data
Shiwen Xu, Chen Cui, Mei Shan, et al.
Atmosphere (2022) Vol. 13, Iss. 10, pp. 1568-1568
Open Access | Times Cited: 8

Predicting rock mass rating ahead of the tunnel face with Bayesian estimation
Xiaojun Li, Ziyang Chen, Li Tang, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 1

Spatial modeling of Dengue prevalence and kriging prediction of Dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data
Hammad Ahmad, Asad Ali, Syeda Hira Fatima, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 7, pp. 1023-1036
Closed Access | Times Cited: 11

Spatiotemporal variation of the association between sea surface temperature and chlorophyll in global ocean during 2002–2019 based on a novel WCA-BME approach
Junyu He, George Christakos, Bernard Cazelles, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102620-102620
Open Access | Times Cited: 10

Incorporation of geological constraints into geochemical anomaly identification using BME-GWR: A case study from Inner Mongolia of China
Haicheng Wang, Zhaoxian Yuan, Qiuming Cheng, et al.
Ore Geology Reviews (2021) Vol. 141, pp. 104658-104658
Open Access | Times Cited: 10

Bayesian maximum entropy interpolation of sea surface temperature data: A comparative assessment
Zekun Gao, Yutong Jiang, Junyu He, et al.
International Journal of Remote Sensing (2021) Vol. 43, Iss. 1, pp. 148-166
Closed Access | Times Cited: 9

Enhanced formulation of the probability principle based on maximum entropy to design the bank profile of channels in geomorphic threshold
Azadeh Gholami, Hossein Bonakdari, Abdolmajid Mohammadian
Stochastic Environmental Research and Risk Assessment (2019) Vol. 33, Iss. 4-6, pp. 1013-1034
Closed Access | Times Cited: 9

Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model
Muyuan Liu, Jing Hu, Yuzhou Huang, et al.
Environmental Research Letters (2022) Vol. 18, Iss. 1, pp. 014034-014034
Open Access | Times Cited: 6

Reconstructing One Kilometre Resolution Daily Clear-Sky LST for China’s Landmass Using the BME Method
Yunfei Zhang, Yunhao Chen, Yang Li, et al.
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2610-2610
Open Access | Times Cited: 8

Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach
Jianhua Gong, Ning Pan, Yi Li, et al.
International Journal of Geographical Information Science (2020) Vol. 35, Iss. 3, pp. 466-489
Closed Access | Times Cited: 7

Spatial prediction of soil calcium carbonate content based on Bayesian maximum entropy using environmental variables
Shan Mei, Shuang Liang, Hongchen Fu, et al.
Nutrient Cycling in Agroecosystems (2021) Vol. 120, Iss. 1, pp. 17-30
Closed Access | Times Cited: 7

Bayesian maximum entropy-based prediction of the spatiotemporal risk of schistosomiasis in Anhui Province, China
Fuju Wang, Xin Liu, Robert Bergquist, et al.
BMC Infectious Diseases (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 7

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