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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:

From explanations to feature selection: assessing SHAP values as feature selection mechanism
Wilson E. Marcílio-Jr, Danilo Medeiros Eler
(2020), pp. 340-347
Closed Access | Times Cited: 199

Showing 51-75 of 199 citing articles:

Evaluation of interpretability methods for multivariate time series forecasting
Ozan Ozyegen, Igor Ilic, Mücahit Çevik
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 4727-4743
Open Access | Times Cited: 27
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals
Neha Prerna Tigga, Shruti Garg
Health Information Science and Systems (2022) Vol. 11, Iss. 1
Closed Access | Times Cited: 20
Evaluating significant features in context‐aware multimodal emotion recognition with XAI methods
Aaishwarya Khalane, Rikesh Makwana, Talal Shaikh, et al.
Expert Systems (2023)
Open Access | Times Cited: 11
Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
Seong Gyu Choi, Minsuk Oh, Dong–Hyuk Park, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Feature fusion improves performance and interpretability of machine learning models in identifying soil pollution of potentially contaminated sites
Xiaosong Lu, Junyang Du, Liping Zheng, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 259, pp. 115052-115052
Open Access | Times Cited: 10
Seismic Vulnerability Assessment at an Urban Scale by Means of Machine Learning Techniques
G Ferranti, Annalisa Greco, Alessandro Pluchino, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 309-309
Open Access | Times Cited: 3
Transcriptome and machine learning analysis of the impact of COVID-19 on mitochondria and multiorgan damage
Yu-Yu Chang, An‐Chi Wei
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0297664-e0297664
Open Access | Times Cited: 3
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
Jaskaran Singh, Narendra N. Khanna, Ranjeet Kumar Rout, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Ultra-sensitive analysis of exhaled biomarkers in ozone-exposed mice via PAI-TOFMS assisted with machine learning algorithms
Teng Yang, Zhen Li, Siwei Chen, et al.
Journal of Hazardous Materials (2024) Vol. 470, pp. 134151-134151
Closed Access | Times Cited: 3
An improved lithology identification approach based on representation enhancement by logging feature decomposition, selection and transformation
Shangyuan Li, Kaibo Zhou, Luanxiao Zhao, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 209, pp. 109842-109842
Closed Access | Times Cited: 24
In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm
Sazzli Kasim, Sorayya Malek, Cheen Song, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278944-e0278944
Open Access | Times Cited: 13
Machine learning investigation of optimal psychoemotional well-being factors for students’ reading literacy
Xuetan Zhai, Wei Yuan, Tianyu Liu, et al.
Education and Information Technologies (2024) Vol. 29, Iss. 14, pp. 18257-18285
Closed Access | Times Cited: 2
MALrisk: a machine-learning–based tool to predict imported malaria in returned travellers with fever
Leire Balerdi-Sarasola, Pedro Emanuel Fleitas, Emmanuel Bottieau, et al.
Journal of Travel Medicine (2024)
Closed Access | Times Cited: 2
Explainable fuzzy deep learning for prediction of epileptic seizures using EEG
Faiq Ahmad Khan, Zainab Umar, Alireza Jolfaei, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5428-5437
Closed Access | Times Cited: 2
Geometry-aware car-following model construction: Theoretical modeling and empirical analysis on horizontal curves
Xun Yang, Zhiyuan Liu, Qixiu Cheng, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 166, pp. 104772-104772
Open Access | Times Cited: 2
Predicting Apple Tree Macronutrients Using Unmanned Aerial Vehicle-Based Hyperspectral Imagery to Manage Apple Orchard Nutrients
Ye-Seong Kang, Chanseok Ryu, Jung Gun Cho, et al.
Drones (2024) Vol. 8, Iss. 8, pp. 369-369
Open Access | Times Cited: 2
Time-Series Explanatory Fault Prediction Framework for Marine Main Engine Using Explainable Artificial Intelligence
Hong Je-Gal, Young‐Seo Park, Seong-Ho Park, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1296-1296
Open Access | Times Cited: 2
A systematic literature review on deepfake detection techniques
Vishal Sharma, Rakesh Kumar Garg, Quentin Caudron
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Fast and Nondestructive Proximate Analysis of Coal from Hyperspectral Images with Machine Learning and Combined Spectra-Texture Features
Jihua Mao, Hengqian Zhao, Yu Xie, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7920-7920
Open Access | Times Cited: 2
Assessing downtown recovery rates and determinants in North American cities after the COVID-19 pandemic
Amir Forouhar, Karen Chapple, Jeff Allen, et al.
Urban Studies (2024)
Closed Access | Times Cited: 2
A machine learning‐based exploration of resilience and food security
Alexis H. Villacis, Syed Badruddoza, Ashok K. Mishra
Applied Economic Perspectives and Policy (2024)
Open Access | Times Cited: 2
Uncovering student profiles. An explainable cluster analysis approach to PISA 2022
Miguel Alvarez-Garcia, Mar Arenas‐Parra, Raquel Ibar-Alonso
Computers & Education (2024), pp. 105166-105166
Open Access | Times Cited: 2
Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA‐AF registry phase II/III
Liu Yang, Yang Chen, Iván Olier, et al.
European Journal of Clinical Investigation (2024)
Open Access | Times Cited: 2
Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset
Mike D. Rinderknecht, Yannick Klopfenstein
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 17
Explainable Data Poison Attacks on Human Emotion Evaluation Systems Based on EEG Signals
Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi, et al.
IEEE Access (2023) Vol. 11, pp. 18134-18147
Open Access | Times Cited: 5

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