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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:

Centralized vs. distributed feature selection methods based on data complexity measures
Laura Morán‐Fernández, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos
Knowledge-Based Systems (2016) Vol. 117, pp. 27-45
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Ensembles for feature selection: A review and future trends
Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos
Information Fusion (2018) Vol. 52, pp. 1-12
Open Access | Times Cited: 454
Dynamic selection of normalization techniques using data complexity measures
Sukirty Jain, Sanyam Shukla, Rajesh Wadhvani
Expert Systems with Applications (2018) Vol. 106, pp. 252-262
Closed Access | Times Cited: 190
Feature selection methods on gene expression microarray data for cancer classification: A systematic review
Esraa Alhenawi, Rizik Al-Sayyed, Amjad Hudaib, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105051-105051
Closed Access | Times Cited: 135
Survey:Time-series data preprocessing: A survey and an empirical analysis
Amal Tawakuli, Bastian Havers, Vincenzo Gulisano, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 25
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges
Xianfang Song, Yong Zhang, Wanqiu Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101661-101661
Closed Access | Times Cited: 16
Ensemble feature selection using election methods and ranker clustering
Peter Drotár, Matej Gazda, Liberios Vokorokos
Information Sciences (2018) Vol. 480, pp. 365-380
Closed Access | Times Cited: 83
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features
Yang Liu, Xinwei Zhang, Yan Kang, et al.
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 4277-4290
Closed Access | Times Cited: 59
A federated feature selection algorithm based on particle swarm optimization under privacy protection
Ying Hu, Yong Zhang, Xiao‐Zhi Gao, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110122-110122
Closed Access | Times Cited: 50
A hybrid mine blast algorithm for feature selection problems
Mohammed Alweshah, Saleh Alkhalaileh, Dheeb Albashish, et al.
Soft Computing (2020) Vol. 25, Iss. 1, pp. 517-534
Closed Access | Times Cited: 64
Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection
Fahimeh Mohagheghian, Dong Han, Andrew Peitzsch, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 9, pp. 2982-2993
Open Access | Times Cited: 30
Feature selection for online streaming high-dimensional data: A state-of-the-art review
Ezzatul Akmal Kamaru Zaman, Azlinah Mohamed, Azlin Ahmad
Applied Soft Computing (2022) Vol. 127, pp. 109355-109355
Closed Access | Times Cited: 28
Testing Different Ensemble Configurations for Feature Selection
Borja Seijo-Pardo, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos
Neural Processing Letters (2017) Vol. 46, Iss. 3, pp. 857-880
Closed Access | Times Cited: 59
A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis
Mengxin Sun, Kunhong Liu, Qingqiang Wu, et al.
Pattern Recognition (2019) Vol. 90, pp. 346-362
Closed Access | Times Cited: 47
Challenges and Future Trends for Microarray Analysis
Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, Ignacio López‐de‐Ullibarri, et al.
Methods in molecular biology (2019), pp. 283-293
Closed Access | Times Cited: 40
Active learning to detect DDoS attack using ranked features
Rup Kumar Deka, Dhruba K. Bhattacharyya, Jugal Kalita
Computer Communications (2019) Vol. 145, pp. 203-222
Closed Access | Times Cited: 38
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, et al.
Information Fusion (2020) Vol. 64, pp. 270-292
Open Access | Times Cited: 27
Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach
Mohsen Miri, Mohammad Bagher Dowlatshahi, Amin Hashemi, et al.
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 12, pp. 11319-11341
Closed Access | Times Cited: 16
Deep learning approaches for high dimension cancer microarray data feature prediction: A review
Debasish Swapnesh Kumar Nayak, Subhashree Mohapatra, David Al-Dabass, et al.
Elsevier eBooks (2023), pp. 13-41
Closed Access | Times Cited: 10
Towards Optimizing WLANs Power Saving: Novel Context-Aware Network Traffic Classification Based on a Machine Learning Approach
Ahmed Saeed, Mario Kolberg
IEEE Access (2018) Vol. 7, pp. 3122-3135
Open Access | Times Cited: 29
Opportunities and Challenges of Feature Selection Methods for High Dimensional Data: A Review
Siva Sankari Subbiah, C. Jayakumar
Ingénierie des systèmes d information (2021) Vol. 26, Iss. 1, pp. 67-77
Open Access | Times Cited: 20
A Study of EEG Feature Complexity in Epileptic Seizure Prediction
Imene Jemal, Amar Mitiche, Neila Mezghani
Applied Sciences (2021) Vol. 11, Iss. 4, pp. 1579-1579
Open Access | Times Cited: 19
One decade of big data for firms' competitiveness: insights and a conceptual model from bibliometrics
Dieudonné Tchuente, Anass El Haddadi
Journal of Enterprise Information Management (2023) Vol. 36, Iss. 6, pp. 1421-1453
Closed Access | Times Cited: 7
The design of dynamic ensemble selection strategy for the error-correcting output codes family
Jiayu Zou, Mengxin Sun, Kunhong Liu, et al.
Information Sciences (2021) Vol. 571, pp. 1-23
Closed Access | Times Cited: 17
Recursive elimination current algorithms and a distributed computing scheme to accelerate wrapper feature selection
Wei Liu, Jianyu Wang
Information Sciences (2021) Vol. 589, pp. 636-654
Closed Access | Times Cited: 16
A Parallel Multilevel Feature Selection algorithm for improved cancer classification
Lokeswari Venkataramana, Shomona Gracia Jacob, Rajavel Ramadoss
Journal of Parallel and Distributed Computing (2019) Vol. 138, pp. 78-98
Closed Access | Times Cited: 17
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