Visualization of the spatial patterns of inter-urban income disparities using coordinate transformations. - Rimma Gluhih; Boris A. Portnov (Int. J. Geogr. Inf. Sci., 2004)

Using kernel density function as an urban analysis tool: Investigating the association between nightlight exposure and the incidence of breast cancer in Haifa, Israel. - Itai Kloog; Abraham Haim; Boris A. Portnov (Comput. Environ. Urban Syst., 2009)

Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data. - Natalya A. Rybnikova; Boris A. Portnov (Int. J. Digit. Earth, 2017)

A Remote Sensing Data Based Artificial Neural Network Approach for Predicting Climate-Sensitive Infectious Disease Outbreaks: A Case Study of Human Brucellosis. - Jiao Wang; Peng Jia 001; Diego F. Cuadros; Min Xu 007; Xianliang Wang; Weidong Guo; Boris A. Portnov; Yuhai Bao; Yushan Chang; Genxin Song; Nan Chen; Alfred Stein (Remote. Sens., 2017)

A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features. - Shengrong Wei; Weili Jiao; Tengfei Long; Huichan Liu; Lu Bi; Wei Jiang 004; Boris A. Portnov; Ming Liu (Remote. Sens., 2020)

Delineating Functional Urban Areas Using a Multi-Step Analysis of Artificial Light-at-Night Data. - Natalya A. Rybnikova; Boris A. Portnov; Igal Charney; Sviatoslav Rybnikov (Remote. Sens., 2021)

Evaluating Street Lighting Quality in Residential Areas by Combining Remote Sensing Tools and a Survey on Pedestrians' Perceptions of Safety and Visual Comfort. - Ming Liu; Baogang Zhang; Tong Luo; Yue Liu; Boris A. Portnov; Tamar Trop; Weili Jiao; Huichan Liu; Yiwei Li; Qingyuan Liu (Remote. Sens., 2022)

Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods. - Natalya A. Rybnikova; Boris A. Portnov; Evgeny M. Mirkes; Andrei Yu. Zinovyev; Anna Brook; Alexander N. Gorban (IEEE Trans. Geosci. Remote. Sens., 2022)