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:

Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services
Elena Barbierato, Iacopo Bernetti, Irene Capecchi, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 329-329
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Teja Kattenborn, Jens Leitloff, Felix Schiefer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 24-49
Open Access | Times Cited: 1120

Street view imagery in urban analytics and GIS: A review
Filip Biljecki, Koichi Ito
Landscape and Urban Planning (2021) Vol. 215, pp. 104217-104217
Open Access | Times Cited: 445

Flood vulnerability assessment of urban buildings based on integrating high-resolution remote sensing and street view images
Ziyao Xing, Shuai Yang, Xuli Zan, et al.
Sustainable Cities and Society (2023) Vol. 92, pp. 104467-104467
Closed Access | Times Cited: 41

Decoding urban landscapes: Google street view and measurement sensitivity
Jae Hong Kim, Sugie Lee, John R. Hipp, et al.
Computers Environment and Urban Systems (2021) Vol. 88, pp. 101626-101626
Open Access | Times Cited: 69

Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
Esra Süel, Samir Bhatt, Michael Bräuer, et al.
Remote Sensing of Environment (2021) Vol. 257, pp. 112339-112339
Open Access | Times Cited: 62

Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network
Boan Chen, Quanlong Feng, Bowen Niu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102794-102794
Open Access | Times Cited: 59

The current and future uses of machine learning in ecosystem service research
Matthew Scowen, Ioannis N. Athanasiadis, James M. Bullock, et al.
The Science of The Total Environment (2021) Vol. 799, pp. 149263-149263
Open Access | Times Cited: 56

Remote sensing for the assessment of ecosystem services provided by urban vegetation: A review of the methods applied
Karina Angélica García-Pardo, David Moreno-Rangel, Samuel Domínguez-Amarillo, et al.
Urban forestry & urban greening (2022) Vol. 74, pp. 127636-127636
Open Access | Times Cited: 44

Modelling above ground biomass for a mixed-tree urban arboretum forest based on a LiDAR-derived canopy height model and field-sampled data
Jigme Thinley, Catherine Marina Pickering, Christopher E. Ndehedehe
GEOMATICA (2025), pp. 100047-100047
Open Access | Times Cited: 1

Analyzing green view index and green view index best path using Google street view and deep learning
Jiahao Zhang, Anqi Hu
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 5, pp. 2010-2023
Open Access | Times Cited: 28

A review on street view observations in support of the sustainable development goals
Chun Yin, Ningyezi Peng, Yuchen Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103205-103205
Open Access | Times Cited: 17

Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images
Luisa Velasquez-Camacho, Maddi Etxegarai, Sergio de‐Miguel
Computers Environment and Urban Systems (2023) Vol. 105, pp. 102025-102025
Open Access | Times Cited: 16

Clarity or confusion: A review of computer vision street attributes in urban studies and planning
Liu Liu, Andres Sevtsuk
Cities (2024) Vol. 150, pp. 105022-105022
Closed Access | Times Cited: 7

Characterizing street trees in three metropolises of central China by using Street View data: From individual trees to landscape mapping
Chentao Liang, Huan Jiang, Sijia Yang, et al.
Ecological Informatics (2024) Vol. 80, pp. 102480-102480
Open Access | Times Cited: 6

Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines
Jasper Baur, Gabriel Steinberg, Alex Nikulin, et al.
Remote Sensing (2020) Vol. 12, Iss. 5, pp. 859-859
Open Access | Times Cited: 49

Remote Sensing Applied in Forest Management to Optimize Ecosystem Services: Advances in Research
Emilio Abad‐Segura, Mariana-Daniela González-Zamar, Esteban Vázquez Cano, et al.
Forests (2020) Vol. 11, Iss. 9, pp. 969-969
Open Access | Times Cited: 47

City-Scale Mapping of Urban Façade Color Using Street-View Imagery
Teng Zhong, Cheng Ye, Zian Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1591-1591
Open Access | Times Cited: 38

Comprehensive urban space representation with varying numbers of street-level images
Yingjing Huang, Fan Zhang, Yong Gao, et al.
Computers Environment and Urban Systems (2023) Vol. 106, pp. 102043-102043
Closed Access | Times Cited: 14

Several sensors and modalities
Abhishek Singh, Sudipan Saha, Muhammad Shahzad
Elsevier eBooks (2025), pp. 163-178
Closed Access

Digital twin comprehensive models: a study of ancient tree ecological environment quality assessment based on a cyber-physical system
Yansheng Chen, Huagang Huang, Jie Li, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 4
Closed Access

The ecosystem disservices of trees on sidewalks: A study based on a municipality urban tree inventory in Central Italy
Emanuela Masini, Antonio Tomao, Piermaria Corona, et al.
Urban forestry & urban greening (2023) Vol. 86, pp. 128007-128007
Open Access | Times Cited: 11

Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
Bin Yang, Shuang Yang, Xin Zhu, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6186-6186
Open Access | Times Cited: 11

Machine learning versus deep learning in land system science: a decision-making framework for effective land classification
Jane Southworth, Audrey Culver Smith, Mohammad Reza Safaei, et al.
Frontiers in Remote Sensing (2024) Vol. 5
Open Access | Times Cited: 4

Page 1 - Next Page

Scroll to top