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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:

Attack classification using feature selection techniques: a comparative study
Ankit Thakkar, Ritika Lohiya
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 1, pp. 1249-1266
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Preksha Pareek, Ankit Thakkar
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 2259-2322
Closed Access | Times Cited: 301
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
Ankit Thakkar, Ritika Lohiya
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 453-563
Closed Access | Times Cited: 174
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
Ankit Thakkar, Kinjal Chaudhari
Expert Systems with Applications (2021) Vol. 177, pp. 114800-114800
Closed Access | Times Cited: 171
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
Ankit Thakkar, Ritika Lohiya
Information Fusion (2022) Vol. 90, pp. 353-363
Closed Access | Times Cited: 150
Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network
Ankit Thakkar, Ritika Lohiya
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11888-11895
Closed Access | Times Cited: 70
IMIDS: An Intelligent Intrusion Detection System against Cyber Threats in IoT
Kim-Hung Le, Minh-Huy Nguyen, Trong-Dat Tran, et al.
Electronics (2022) Vol. 11, Iss. 4, pp. 524-524
Open Access | Times Cited: 69
Comparative Analysis of Intrusion Detection Systems and Machine Learning-Based Model Analysis Through Decision Tree
Zahedi Azam, Md. Motaharul Islam, Mohammad Nurul Huda
IEEE Access (2023) Vol. 11, pp. 80348-80391
Open Access | Times Cited: 63
Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction
Kinjal Chaudhari, Ankit Thakkar
Expert Systems with Applications (2023) Vol. 219, pp. 119527-119527
Closed Access | Times Cited: 41
SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization
Nuruzzaman Faruqui, Mohammad Abu Yousuf, Md Whaiduzzaman, et al.
Electronics (2023) Vol. 12, Iss. 17, pp. 3541-3541
Open Access | Times Cited: 40
An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators
Victor Chang, Meghana Ashok Ganatra, Karl Hall, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100118-100118
Closed Access | Times Cited: 59
A comprehensive review on detection of cyber-attacks: Data sets, methods, challenges, and future research directions
Hüseyin Ahmetoğlu, Resul Daş
Internet of Things (2022) Vol. 20, pp. 100615-100615
Closed Access | Times Cited: 57
A decision support system for classifying supplier selection criteria using machine learning and random forest approach
Md. Ramjan Ali, Shah Md Ashiquzzaman Nipu, Sharfuddin Ahmed Khan
Decision Analytics Journal (2023) Vol. 7, pp. 100238-100238
Open Access | Times Cited: 38
SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method
Ritika Kumari, Jaspreeti Singh, Anjana Gosain
Expert Systems with Applications (2023) Vol. 225, pp. 120102-120102
Closed Access | Times Cited: 27
Deep Learning Based Hybrid Intrusion Detection Systems to Protect Satellite Networks
Ahmad Taher Azar, Esraa Shehab, Ahmed M. Mattar, et al.
Journal of Network and Systems Management (2023) Vol. 31, Iss. 4
Open Access | Times Cited: 25
A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 13
Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta
Internet of Things and Cyber-Physical Systems (2024) Vol. 4, pp. 258-267
Open Access | Times Cited: 8
Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks
Ankit Thakkar, Kinjal Chaudhari
Applied Soft Computing (2020) Vol. 96, pp. 106684-106684
Closed Access | Times Cited: 69
Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction
Ankit Thakkar, Dhaval K. Patel, Preet Shah
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 16985-17000
Closed Access | Times Cited: 40
Breast cancer detection using machine learning approaches: a comparative study
Muawia A. Elsadig, Abdelrahman Altigani, Huwaida T. Elshoush
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 736-736
Open Access | Times Cited: 29
A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System
Ankit Thakkar, Ritika Lohiya
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4245-4269
Closed Access | Times Cited: 20
Toward Early and Accurate Network Intrusion Detection Using Graph Embedding
Xiaoyan Hu, Wenjie Gao, Guang Cheng, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 5817-5831
Closed Access | Times Cited: 19
Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)
Fernando Gutiérrez-Portela, Harold Brayan Arteaga-Arteaga, Florina Almenárez, et al.
IEEE Access (2023) Vol. 11, pp. 70542-70559
Open Access | Times Cited: 16
Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning
Sandeepkumar Racherla, Prathyusha Sripathi, Nuruzzaman Faruqui, et al.
IEEE Access (2024) Vol. 12, pp. 63584-63597
Open Access | Times Cited: 6
Enhancing Intrusion Detection in Wireless Sensor Networks Using a GSWO-CatBoost Approach
Thuan Minh Nguyen, Hanh Hong-Phuc Vo, Myungsik Yoo
Sensors (2024) Vol. 24, Iss. 11, pp. 3339-3339
Open Access | Times Cited: 6
A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks
Aya G. Ayad, Nehal A. Sakr, Noha A. Hikal
The Journal of Supercomputing (2024) Vol. 80, Iss. 19, pp. 26942-26984
Open Access | Times Cited: 6
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