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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:

Identification of gender differences in the factors influencing shoulders, neck and upper limb MSD by means of multivariate adaptive regression splines (MARS)
Navid Serrano, Ana Suárez Sánchez, Fernando Sánchez Lasheras, et al.
Applied Ergonomics (2019) Vol. 82, pp. 102981-102981
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Land degradation risk mapping using topographic, human-induced, and geo-environmental variables and machine learning algorithms, for the Pole-Doab watershed, Iran
Ali Torabi Haghighi, Hamid Darabi, Zahra Karimidastenaei, et al.
Environmental Earth Sciences (2020) Vol. 80, Iss. 1
Open Access | Times Cited: 89
The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review
Victor C.H. Chan, Gwyneth B. Ross, Allison L. Clouthier, et al.
Applied Ergonomics (2021) Vol. 98, pp. 103574-103574
Open Access | Times Cited: 79
Measuring pandemic home-work conditions to determine ergonomic recommendation relevance
Nancy L. Black, Samuelle St-Onge
Work (2022) Vol. 71, Iss. 2, pp. 299-308
Open Access | Times Cited: 28
Time series analysis for COMEX platinum spot price forecasting using SVM, MARS, MLP, VARMA and ARIMA models: A case study
Luis Alfonso Menéndez García, P.J. Garcı́a Nieto, Esperanza García–Gonzalo, et al.
Resources Policy (2024) Vol. 95, pp. 105148-105148
Closed Access | Times Cited: 7
Fast knot optimization for multivariate adaptive regression splines using hill climbing methods
Xinglong Ju, Victoria C. P. Chen, Jay M. Rosenberger, et al.
Expert Systems with Applications (2021) Vol. 171, pp. 114565-114565
Closed Access | Times Cited: 34
Ergonomic Risk Assessment of Manufacturing Works in Virtual Reality Context
Suman Kalyan Sardar, Chae Heon Lim, Sol Hee Yoon, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 14, pp. 3856-3872
Closed Access | Times Cited: 15
Application of Orchis mascula tuber starch as a natural coagulant for oily-saline wastewater treatment: Modeling and optimization by multivariate adaptive regression splines method and response surface methodology
Donya Hamidi, Moein Besharati Fard, Kaan Yetilmezsoy, et al.
Journal of environmental chemical engineering (2020) Vol. 9, Iss. 1, pp. 104745-104745
Closed Access | Times Cited: 37
A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran)
Sayed Naeim Emami, Saleh Yousefi, Hamid Reza Pourghasemi, et al.
Bulletin of Engineering Geology and the Environment (2020) Vol. 79, Iss. 10, pp. 5291-5308
Closed Access | Times Cited: 35
Assessing the susceptibility of schools to flood events in Iran
Saleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 29
Advanced machine learning algorithms for flood susceptibility modeling — performance comparison: Red Sea, Egypt
Ahmed M. Youssef, Hamid Reza Pourghasemi, Bosy A. El‐Haddad
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 66768-66792
Closed Access | Times Cited: 18
Model selection in multivariate adaptive regressions splines (MARS) using alternative information criteria
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
Heliyon (2023) Vol. 9, Iss. 9, pp. e19964-e19964
Open Access | Times Cited: 7
Assessment of Load Manual Lifting among Shelf-Stoking Workers in Chain Stores: A Cross-Sectional Study
Alireza Choobineh, Elahe Dortaj, Mohsen Razeghi, et al.
Applied Bionics and Biomechanics (2024) Vol. 2024, pp. 1-10
Open Access | Times Cited: 2
A systematic review of research on sitting and working furniture ergonomic from 2012 to 2022: Analysis of assessment approaches
Yifan Bai, Khairul Manami Kamarudin, Hassan Alli
Heliyon (2024) Vol. 10, Iss. 7, pp. e28384-e28384
Open Access | Times Cited: 2
Modeling and Prediction of Habitat Suitability for Ferula gummosa Medicinal Plant in a Mountainous Area
Majid Mohammady, Hamid Reza Pourghasemi, Saleh Yousefi, et al.
Natural Resources Research (2021) Vol. 30, Iss. 6, pp. 4861-4884
Closed Access | Times Cited: 16
Considering sex and gender in ergonomics: Exploring the hows and whys
Marie Laberge, Sandrine Caroly, Jessica Riel, et al.
Applied Ergonomics (2020) Vol. 85, pp. 103039-103039
Closed Access | Times Cited: 14
Converting laundry work of women in underdeveloped countries from risk of musculoskeletal disorders to a sustainable intervention: A design with holistic approach
Banu Çiçek Avcıoğlu, Hüdayim Başak
Human Factors and Ergonomics in Manufacturing & Service Industries (2024) Vol. 34, Iss. 5, pp. 434-449
Closed Access | Times Cited: 1
Modeling the Impact of Ergonomic Interventions and Occupational Factors on Work-Related Musculoskeletal Disorders in the Neck of Office Workers with Machine Learning Methods
Mohammad Sadegh Sohrabi, Hassan Khotanlou, Rashid Heidarimoghadam, et al.
Journal of Research in Health Sciences (2024) Vol. 24, Iss. 3, pp. e00623-e00623
Open Access | Times Cited: 1
Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases
Su Golder, Karen O’Connor, Yunwen Wang, et al.
Annual Review of Biomedical Data Science (2022) Vol. 5, Iss. 1, pp. 251-267
Open Access | Times Cited: 7
Lithofacies Classification of Carbonate Reservoirs Using Advanced Machine Learning: A Case Study from a Southern Iraqi Oil Field
Mohammed A. Abbas, Watheq J. Al‐Mudhafar
(2021)
Closed Access | Times Cited: 9
Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study
Maryam Akbari‐Moghaddam, Na Li, Douglas G. Down, et al.
INFOR Information Systems and Operational Research (2023) Vol. 61, Iss. 4, pp. 559-588
Open Access | Times Cited: 3
Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms
Aroa González Fuentes, Nélida M. Busto Serrano, Fernando Sánchez Lasheras, et al.
Energies (2020) Vol. 13, Iss. 10, pp. 2475-2475
Open Access | Times Cited: 6
Work-related overexertion injuries in cleaning occupations: An exploration of the factors to predict the days of absence by means of machine learning methodologies
Aroa González Fuentes, Nélida M. Busto Serrano, Fernando Sánchez Lasheras, et al.
Applied Ergonomics (2022) Vol. 105, pp. 103847-103847
Open Access | Times Cited: 4
ANOVA Decomposition and Importance Variable Process in Multivariate Adaptive Regression Spline Model
Bambang Widjanarko Otok, Agnes Tuti Rumiati, Ayub Parlin Ampulembang, et al.
International Journal on Advanced Science Engineering and Information Technology (2023) Vol. 13, Iss. 3, pp. 928-934
Open Access | Times Cited: 2
Simulating Complex Relationships Between Pollutants and the Environment Using Regression Splines: A Case Study for Landfill Leachate
Arpita Bhatt, Richa V. Karanjekar, Said Altouqi, et al.
International series in management science/operations research/International series in operations research & management science (2023), pp. 427-451
Closed Access | Times Cited: 1
Workers’ subjective discomfort, muscle fatigue, and kinematics during a manual packaging task
Li Liu, Fu Guo
Work (2022) Vol. 73, Iss. 3, pp. 871-879
Closed Access | Times Cited: 2
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