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:

Machine learning approaches to characterize the obesogenic urban exposome
Haykanush Ohanyan, Lützen Portengen, Anke Huss, et al.
Environment International (2021) Vol. 158, pp. 107015-107015
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Time to Consider the “Exposome Hypothesis” in the Development of the Obesity Pandemic
Victoria Catalán, Icíar Avilés-Olmos, Amaia Rodrı́guez, et al.
Nutrients (2022) Vol. 14, Iss. 8, pp. 1597-1597
Open Access | Times Cited: 66
Exiting the Anthropocene: Achieving personal and planetary health in the 21st century
Susan L. Prescott, Alan Logan, Jamie Bristow, et al.
Allergy (2022) Vol. 77, Iss. 12, pp. 3498-3512
Open Access | Times Cited: 50
EAACI guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics
Mohamed H. Shamji, Markus Ollert, Ian M. Adcock, et al.
Allergy (2023) Vol. 78, Iss. 7, pp. 1742-1757
Open Access | Times Cited: 32
Street view imagery-based built environment auditing tools: a systematic review
Shaoqing Dai, Yuchen Li, Alfred Stein, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 6, pp. 1136-1157
Open Access | Times Cited: 9
Exploring the use of Artificial Intelligence (AI) for extracting and integrating data obtained through New Approach Methodologies (NAMs) for chemical risk assessment
Tilmann Blümmel, Johannes Rehn, Carla Mereu, et al.
EFSA Supporting Publications (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 8
A Hybrid Gradient Boosting and Neural Network Model for Predicting Urban Happiness: Integrating Ensemble Learning with Deep Representation for Enhanced Accuracy
Gregorius Airlangga, Alan Liu
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 4-4
Open Access | Times Cited: 1
Associations between the urban exposome and type 2 diabetes: Results from penalised regression by least absolute shrinkage and selection operator and random forest models
Haykanush Ohanyan, Lützen Portengen, Oriana Kaplani, et al.
Environment International (2022) Vol. 170, pp. 107592-107592
Open Access | Times Cited: 23
Association of the external environmental exposome and obesity: A comprehensive nationwide study in 2019 among Chinese children and adolescents
Li Chen, Qin Yang, Yi Zhang, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172233-172233
Closed Access | Times Cited: 5
An Improved Binary Simulated Annealing Algorithm and TPE-FL-LightGBM for Fast Network Intrusion Detection
Yafei Luo, Ruihan Chen, Chuantao Li, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 231-231
Open Access
Exposome within the Context of the Public Health Perspectives
Abdel‐Hady El‐Gilany
Journal of Comprehensive Health (2025), pp. 1-10
Closed Access
Global research trends on the human exposome: a bibliometric analysis (2005–2024)
Pascal Petit, Nicolas Vuillerme
Environmental Science and Pollution Research (2025)
Open Access
Exploring the multifaceted factors influencing overweight and obesity: a scoping review
Mohsen Jalilzadeh, Salime Goharinezhad
Frontiers in Public Health (2025) Vol. 13
Open Access
Association between trajectories of the neighborhood social exposome and mental health in late adolescence: A FinnTwin12 cohort study
Zhiyang Wang, Gabin Drouard, Alyce M. Whipp, et al.
Journal of Affective Disorders (2024) Vol. 358, pp. 70-78
Open Access | Times Cited: 4
Environmental exposure assessment in the German National Cohort (NAKO)
Kathrin Wolf, Marco Dallavalle, Fiona Niedermayer, et al.
Environmental Research (2025) Vol. 273, pp. 121259-121259
Open Access
Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches
Xiang Ren, Zhongyuan Mi, Panos G. Georgopoulos
Journal of Exposure Science & Environmental Epidemiology (2023) Vol. 34, Iss. 2, pp. 197-207
Open Access | Times Cited: 10
Chemical safety and the exposome
Oskar Karlsson
Emerging contaminants (2023) Vol. 9, Iss. 2, pp. 100225-100225
Open Access | Times Cited: 10
The influence of the co-exposure to polycyclic aromatic hydrocarbons and toxic metals on DNA damage in brazilian lactating women and their infants: A cross-sectional study using machine learning approaches
Marília Cristina Oliveira Souza, Jonas Carneiro Cruz, Bruno Alves Rocha, et al.
Chemosphere (2023) Vol. 334, pp. 138975-138975
Open Access | Times Cited: 10
The neighourhood obesogenic built environment characteristics (OBCT) index: Practice versus theory
Thao Minh Lam, Nicolette R. den Braver, Haykanush Ohanyan, et al.
Environmental Research (2024) Vol. 251, pp. 118625-118625
Open Access | Times Cited: 3
The effect of environment on depressive symptoms in late adolescence and early adulthood: an exposome-wide association study and twin modeling
Zhiyang Wang, Stephanie Zellers, Alyce M. Whipp, et al.
Nature Mental Health (2023) Vol. 1, Iss. 10, pp. 751-760
Open Access | Times Cited: 8
Greenness, air pollution, and temperature exposure effects in predicting premature mortality and morbidity: A small-area study using spatial random forest model
S.M. Labib
The Science of The Total Environment (2024) Vol. 928, pp. 172387-172387
Open Access | Times Cited: 2
The Use of Artificial Intelligence to Analyze the Exposome in the Development of Chronic Diseases: A Review of the Current Literature
S. Isola, Giuseppe Murdaca, Silvia Brunetto, et al.
Informatics (2024) Vol. 11, Iss. 4, pp. 86-86
Open Access | Times Cited: 2
Spatial Regression Models for Field Trials: A Comparative Study and New Ideas
Stijn Hawinkel, Sam De Meyer, Steven Maere
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 9
Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
Thao Minh Lam, Alfred Wagtendonk, Nicolette R. den Braver, et al.
Obesity (2022) Vol. 31, Iss. 1, pp. 214-224
Open Access | Times Cited: 8
Predicting self-perceived general health status using machine learning: an external exposome study
Jurriaan Hoekstra, Esther S. Lenssen, Albert Wong, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis
Stephen K. Grady, Levente Dojcsak, Emily W. Harville, et al.
Environmental Health Perspectives (2023) Vol. 131, Iss. 12
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top