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:

An efficient XGBoost–DNN-based classification model for network intrusion detection system
D Preethi, Neelu Khare
Neural Computing and Applications (2020) Vol. 32, Iss. 16, pp. 12499-12514
Closed Access | Times Cited: 214

Showing 26-50 of 214 citing articles:

Towards an efficient model for network intrusion detection system (IDS): systematic literature review
Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Yakub Kayode Saheed
Wireless Networks (2023) Vol. 30, Iss. 1, pp. 453-482
Closed Access | Times Cited: 23

Investigation on explainable machine learning models to predict chronic kidney diseases
Samit Kumar Ghosh, Ahsan H. Khandoker
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15

An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder
Chaofei Tang, Nurbol Luktarhan, Yuxin Zhao
Symmetry (2020) Vol. 12, Iss. 9, pp. 1458-1458
Open Access | Times Cited: 57

Network intrusion detection using ACO-DNN model with DVFS based energy optimization in cloud framework
Jitendra Kumar Samriya, Rajeev Tiwari, Xiaochun Cheng, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 35, pp. 100746-100746
Closed Access | Times Cited: 33

Hybrid deep-learning model to detect botnet attacks over internet of things environments
Mohammed Y. Alzahrani, Alwi M. Bamhdi
Soft Computing (2022) Vol. 26, Iss. 16, pp. 7721-7735
Open Access | Times Cited: 32

A Two-layer Fog-Cloud Intrusion Detection Model for IoT Networks
Souradip Roy, Juan Li, Yan Bai
Internet of Things (2022) Vol. 19, pp. 100557-100557
Open Access | Times Cited: 29

An effective technique for detecting minority attacks in NIDS using deep learning and sampling approach
R. Harini, N. Maheswari, Sannasi Ganapathy, et al.
Alexandria Engineering Journal (2023) Vol. 78, pp. 469-482
Open Access | Times Cited: 19

APELID: Enhancing real-time intrusion detection with augmented WGAN and parallel ensemble learning
Hoang V. Vo, Hanh P. Du, Hoa N. Nguyen
Computers & Security (2023) Vol. 136, pp. 103567-103567
Closed Access | Times Cited: 18

EESNN: Hybrid Deep Learning Empowered Spatial–Temporal Features for Network Intrusion Detection System
Jalaiah Saikam, C. K. Rao
IEEE Access (2024) Vol. 12, pp. 15930-15945
Open Access | Times Cited: 6

Multi-class intrusion detection system in SDN based on hybrid BiLSTM model
Meng Cui, Jue Chen, Xihe Qiu, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 9937-9956
Closed Access | Times Cited: 6

SwitchTree: in-network computing and traffic analyses with Random Forests
Jong‐Hyouk Lee, Kamal Singh
Neural Computing and Applications (2020)
Closed Access | Times Cited: 48

A Systematic Literature Review of Intrusion Detection System for Network Security: Research Trends, Datasets and Methods
Amarudin Amarudin, Ridi Ferdiana, Widyawan Widyawan
(2020), pp. 1-6
Closed Access | Times Cited: 42

Leakage Identification in Water Distribution Networks Based on XGBoost Algorithm
Jiajia Wu, Donghui Ma, Wei Wang
Journal of Water Resources Planning and Management (2021) Vol. 148, Iss. 3
Closed Access | Times Cited: 37

XGBoost and Deep Neural Network Comparison: The Case of Teams’ Performance
Filippos Giannakas, Christos Troussas, Akrivi Krouska, et al.
Lecture notes in computer science (2021), pp. 343-349
Closed Access | Times Cited: 34

HNN: A Novel Model to Study the Intrusion Detection Based on Multi-Feature Correlation and Temporal-Spatial Analysis
Shengwei Lei, Chunhe Xia, Zhong Li, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 8, Iss. 4, pp. 3257-3274
Closed Access | Times Cited: 33

Intrusion detection in wireless sensor network using enhanced empirical based component analysis
Zhiqiang Liu, Ghulam Mohi-Ud-Din, Jiangbin Zheng, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 181-193
Closed Access | Times Cited: 27

A Systematic Review on Hybrid Intrusion Detection System
Elijah M. Maseno, Zenghui Wang, Hongyan Xing
Security and Communication Networks (2022) Vol. 2022, pp. 1-23
Open Access | Times Cited: 27

A Network Intrusion Detection System Using Hybrid Multilayer Deep Learning Model
Muhammad Umair, Zeshan Iqbal, Muhammad Ahmad Faraz, et al.
Big Data (2022) Vol. 12, Iss. 5, pp. 367-376
Closed Access | Times Cited: 25

Multi‐hazard typhoon and earthquake collapse fragility models for transmission towers: An active learning reliability approach using gradient boosting classifiers
Ashkan B. Jeddi, Abdollah Shafieezadeh, Jieun Hur, et al.
Earthquake Engineering & Structural Dynamics (2022) Vol. 51, Iss. 15, pp. 3552-3573
Open Access | Times Cited: 24

A Method of Intrusion Detection Based on WOA‐XGBoost Algorithm
Yan Song, Haowei Li, Panfeng Xu, et al.
Discrete Dynamics in Nature and Society (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 23

A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification
Ravindra Kumar Chouhan, Mithilesh Atulkar, Naresh Kumar Nagwani
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 4268-4288
Closed Access | Times Cited: 23

Detecting type 2 diabetes mellitus cognitive impairment using whole-brain functional connectivity
Jinjian Wu, Yuqi Fang, Xin Tan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14

A Fog Computing Framework for Intrusion Detection of Energy-Based Attacks on UAV-Assisted Smart Farming
Junaid Sajid, Kadhim Hayawi, Asad Waqar Malik, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3857-3857
Open Access | Times Cited: 14

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy
Xiaohua Zeng, Changzhou Liang, Qian Yang, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0310296-e0310296
Open Access

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