Open Access Helper

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:

Harnessing artificial intelligence technology and social media data to support Cultural Ecosystem Service assessments
Lukas Egarter Vigl, Thomas Marsoner, Valentina Giombini, et al.
People and Nature (2021) Vol. 3, Iss. 3, pp. 673-685
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Using social media photos and computer vision to assess cultural ecosystem services and landscape features in urban parks
Songyao Huai, Chen Fen, Song Liu, et al.
Ecosystem Services (2022) Vol. 57, pp. 101475-101475
Closed Access | Times Cited: 42
Quantitative evaluation of attraction intensity of highway landscape visual elements based on dynamic perception
Xiaochun Qin, Mengjie Fang, Dongxiao Yang, et al.
Environmental Impact Assessment Review (2023) Vol. 100, pp. 107081-107081
Closed Access | Times Cited: 25
Emerging technologies for assessing ecosystem services: A synthesis of opportunities and challenges
Uta Schirpke, Andrea Ghermandi, Michael Sinclair, et al.
Ecosystem Services (2023) Vol. 63, pp. 101558-101558
Open Access | Times Cited: 22
What can geotagged photographs tell us about cultural ecosystem services of lakes?
Uta Schirpke, Erich Tasser, Manuel Ebner, et al.
Ecosystem Services (2021) Vol. 51, pp. 101354-101354
Open Access | Times Cited: 54
Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models
Ana Sofia Cardoso, Francesco Renna, Ricardo Moreno-Llorca, et al.
Ecosystem Services (2022) Vol. 54, pp. 101410-101410
Closed Access | Times Cited: 32
A user-feedback indicator framework to understand cultural ecosystem services of urban green space
Xun Zhu, Xinting Cheng, Bo Zhang, et al.
Ecological Indicators (2023) Vol. 154, pp. 110642-110642
Open Access | Times Cited: 19
Spatio-temporal characteristics of cultural ecosystem services and their relations to landscape factors in Hangzhou Xixi National Wetland Park, China
Rong-Zhi Guo, Li Lin, Junfeng Xu, et al.
Ecological Indicators (2023) Vol. 154, pp. 110910-110910
Open Access | Times Cited: 17
Social media and deep learning capture the aesthetic quality of the landscape
Ilan Havinga, Diego Marcos, P.W. Bogaart, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 34
Understanding the sentiment associated with cultural ecosystem services using images and text from social media
Ilan Havinga, Diego Marcos, P.W. Bogaart, et al.
Ecosystem Services (2023) Vol. 65, pp. 101581-101581
Open Access | Times Cited: 13
Crowdsourced Indicators of Flora and Fauna Species: Comparisons Between iNaturalist Records and Field Observations
Hyuksoo Kwon, Bumsuk Seo, Jungin Kim, et al.
Land (2025) Vol. 14, Iss. 1, pp. 169-169
Open Access
Negative impacts of artificial intelligence technologies on the tourism industry
Anda Zvaigzne, Lienīte Litavniece, Sergejs Kodors, et al.
Worldwide Hospitality and Tourism Themes (2025)
Closed Access
Assessing recreationists’ preferences of the landscape and species using crowdsourced images and machine learning
Abdesslam Chai-allah, Johannes Hermes, Anne de La Foye, et al.
Landscape and Urban Planning (2025) Vol. 257, pp. 105315-105315
Open Access
Application of Intelligent Technology in Electronic Information Engineering with Multi-information Algorithm Fusion
Yang Liu, Z. L. Wang
Lecture notes in electrical engineering (2025), pp. 230-237
Closed Access
AI-driven Research on Lingnan Cultural Brand Innovation and Design
Si Li
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Spatial distribution and influencing factors of rural cultural ecosystem services: a case study of Fujian, China
C.-Y. Li, Ying Pan, Weilun Yin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Digitally sourced data on popularity broaden the picture of tourism threats to natural World Heritage sites
Martin Falk, Eva Hagsten
Environment and Development Economics (2025), pp. 1-28
Closed Access
Potential of eye-tracking simulation software for analyzing landscape preferences
Uta Schirpke, Erich Tasser, Alexandros Α. Lavdas
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0273519-e0273519
Open Access | Times Cited: 20
Using crowdsourced images to study selected cultural ecosystem services and their relationships with species richness and carbon sequestration
Heera Lee, Bumsuk Seo, Anna F. Cord, et al.
Ecosystem Services (2022) Vol. 54, pp. 101411-101411
Closed Access | Times Cited: 19
Advancing social‐ecological restoration through elicitation of cultural ecosystem services and landscape feature perceptions in restored quarries: a Flickr data analysis
Kamila Svobodová, Ping Chang, Anton Stahl Olafsson, et al.
Restoration Ecology (2025)
Open Access
Utilizing a crowdsourced phrasal lexicon to identify cultural ecosystem services in El Cajas National Park, Ecuador
Inhye Kong, Fausto O. Sarmiento
Ecosystem Services (2022) Vol. 56, pp. 101441-101441
Closed Access | Times Cited: 17
Mapping of user-perceived landscape types and spatial distribution using crowdsourced photo data and machine learning: Focusing on Taeanhaean National Park
Sung‐Hee Lee, Yong-Hoon Son
Journal of Outdoor Recreation and Tourism (2023) Vol. 44, pp. 100616-100616
Closed Access | Times Cited: 8
Social media and deep learning reveal specific cultural preferences for biodiversity
Ilan Havinga, Diego Marcos, P.W. Bogaart, et al.
People and Nature (2023) Vol. 5, Iss. 3, pp. 981-998
Open Access | Times Cited: 8
Exploring the cultural ecosystem services of arid watersheds: A social media analysis
Antonio Vidal-Llamas, Néstor Nicolás-Ruiz, María Luisa Suárez Alonso, et al.
Journal of Arid Environments (2024) Vol. 221, pp. 105141-105141
Open Access | Times Cited: 2
What's in a name? Political and economic concepts differ in social media references to harmful algae blooms
Heather O’Leary, Sergio Álvarez, Frida Bahja
Journal of Environmental Management (2024) Vol. 357, pp. 120799-120799
Closed Access | Times Cited: 2
Applying deep learning on social media to investigate cultural ecosystem services in protected areas worldwide
Timothy Bing Lun Yee, L. Román Carrasco
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top