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:

Feature Selection for Data and Pattern Recognition
Urszula Stańczyk, Lakhmi C. Jain
Studies in computational intelligence (2014)
Closed Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

Evaluation of variable selection methods for random forests and omics data sets
Frauke Degenhardt, Stephan Seifert, Silke Szymczak
Briefings in Bioinformatics (2017) Vol. 20, Iss. 2, pp. 492-503
Open Access | Times Cited: 530
Modified cuckoo search algorithm with rough sets for feature selection
Mohamed Abd Elaziz, Aboul Ella Hassanien
Neural Computing and Applications (2016) Vol. 29, Iss. 4, pp. 925-934
Closed Access | Times Cited: 167
Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms
Torkan Shafighfard, Faramarz Bagherzadeh, Rana Abdollahi Rizi, et al.
Journal of Materials Research and Technology (2022) Vol. 21, pp. 3777-3794
Open Access | Times Cited: 93
Influence of soil properties, topography, and land cover on soil organic carbon and total nitrogen concentration: A case study in Qinghai-Tibet plateau based on random forest regression and structural equation modeling
Lijun Dai, Jingsong Ge, Lingqing Wang, et al.
The Science of The Total Environment (2022) Vol. 821, pp. 153440-153440
Closed Access | Times Cited: 73
Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study
Faramarz Bagherzadeh, Torkan Shafighfard, Raja Muhammad Awais Khan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110315-110315
Closed Access | Times Cited: 72
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
Torkan Shafighfard, Farzin Kazemi, Faramarz Bagherzadeh, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 23, pp. 3573-3594
Open Access | Times Cited: 51
Predicting customer demand for remanufactured products: A data-mining approach
Truong Van Nguyen, Li Zhou, Alain Yee‐Loong Chong, et al.
European Journal of Operational Research (2019) Vol. 281, Iss. 3, pp. 543-558
Open Access | Times Cited: 142
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, et al.
Journal of Systems and Software (2016) Vol. 127, pp. 278-294
Open Access | Times Cited: 104
Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach
S. M. Shahrear Tanzil, William Hoiles, Vikram Krishnamurthy
IEEE Access (2017) Vol. 5, pp. 5870-5881
Open Access | Times Cited: 103
On the role and the importance of features for background modeling and foreground detection
Thierry Bouwmans, Caroline Silva, Cristina Marghes, et al.
Computer Science Review (2018) Vol. 28, pp. 26-91
Open Access | Times Cited: 101
The use of machine learning in sport outcome prediction: A review
Tomislav Horvat, Josip Job
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2020) Vol. 10, Iss. 5
Closed Access | Times Cited: 95
CaPrM: Carbonation prediction model for reinforced concrete using machine learning methods
Woubishet Zewdu Taffese, Esko Sistonen, Jari Puttonen
Construction and Building Materials (2015) Vol. 100, pp. 70-82
Closed Access | Times Cited: 93
A multi-stage anomaly detection scheme for augmenting the security in IoT-enabled applications
Sahil Garg, Kuljeet Kaur, Shalini Batra, et al.
Future Generation Computer Systems (2019) Vol. 104, pp. 105-118
Closed Access | Times Cited: 92
Machine learning approach for risk-based inspection screening assessment
Andika Rachman, R. M. Chandima Ratnayake
Reliability Engineering & System Safety (2019) Vol. 185, pp. 518-532
Open Access | Times Cited: 89
Retrieval of soil salinity from Sentinel-2 multispectral imagery
Mohammad Mahdi Taghadosi, Mahdi Hasanlou, Kamran Eftekhari
European Journal of Remote Sensing (2019) Vol. 52, Iss. 1, pp. 138-154
Open Access | Times Cited: 87
Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning
Yimian Chen, Shuize Wang, Jie Xiong, et al.
Journal of Material Science and Technology (2022) Vol. 132, pp. 213-222
Open Access | Times Cited: 54
Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites
Faramarz Bagherzadeh, Torkan Shafighfard
Case Studies in Construction Materials (2022) Vol. 17, pp. e01537-e01537
Open Access | Times Cited: 43
The Internet of Things
Marco Stolpe
ACM SIGKDD Explorations Newsletter (2016) Vol. 18, Iss. 1, pp. 15-34
Closed Access | Times Cited: 76
COVID-19 detection with traditional and deep features on cough acoustic signals
Yunus Emre Erdoğan, Ali Narin
Computers in Biology and Medicine (2021) Vol. 136, pp. 104765-104765
Open Access | Times Cited: 45
Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects
Suraj Kumar Bhagat, Tiyasha Tiyasha, Adarsh Kumar, et al.
Journal of Environmental Management (2022) Vol. 309, pp. 114711-114711
Closed Access | Times Cited: 28
Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data
Justine Labory, Evariste Njomgue-Fotso, Silvia Bottini
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1274-1287
Open Access | Times Cited: 6
Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data
William Hoiles, Anup Aprem, Vikram Krishnamurthy
IEEE Transactions on Knowledge and Data Engineering (2017) Vol. 29, Iss. 7, pp. 1426-1437
Closed Access | Times Cited: 61
Comparison of wrapper and filter feature selection algorithms on human activity recognition
József Sütő, Stefan Oniga, Petrică C. Pop
(2016), pp. 124-129
Closed Access | Times Cited: 58
Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression
Krisztián Búza, Ladislav Peška
Neurocomputing (2017) Vol. 260, pp. 284-293
Open Access | Times Cited: 48
Effective multiple cancer disease diagnosis frameworks for improved healthcare using machine learning
Ching‐Hsien Hsu, Xing Chen, Weiwei Lin, et al.
Measurement (2021) Vol. 175, pp. 109145-109145
Closed Access | Times Cited: 39
Page 1 - Next Page

Scroll to top