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:

Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT)
Salma Khanam, Ismail Ahmedy, Mohd Yamani Idna Idris, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5822-5822
Open Access | Times Cited: 17

Showing 17 citing articles:

A novel data augmentation approach to fault diagnosis with class-imbalance problem
Jilun Tian, Yuchen Jiang, Jiusi Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109832-109832
Closed Access | Times Cited: 50

DDoS Attack and Detection Methods in Internet-Enabled Networks: Concept, Research Perspectives, and Challenges
Kazeem B. Adedeji, Adnan M. Abu‐Mahfouz, Anish Kurien
Journal of Sensor and Actuator Networks (2023) Vol. 12, Iss. 4, pp. 51-51
Open Access | Times Cited: 32

TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
Hoang Nguyen, Rasha Kashef
Knowledge-Based Systems (2023) Vol. 279, pp. 110966-110966
Closed Access | Times Cited: 18

AnomalySeg: Deep Learning-Based Fast Anomaly Segmentation Approach for Surface Defect Detection
Yongxian Song, Wenhao Xia, Yuanyuan Li, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 284-284
Open Access | Times Cited: 6

An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing
Nsikak Owoh, Jackie Riley, Moses Ashawa, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2353-2353
Open Access | Times Cited: 6

Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review
James Halvorsen, Clemente Izurieta, Haipeng Cai, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-33
Open Access | Times Cited: 5

HiViT-IDS: An Efficient Network Intrusion Detection Method Based on Vision Transformer
Haiyan Zhou, Haojie Zou, Wei Li, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1752-1752
Open Access

SE-DWNet: An Advanced ResNet-Based Model for Intrusion Detection with Symmetric Data Distribution
Kunsan Zhang, Rongqin Zheng, Chaopeng Li, et al.
Symmetry (2025) Vol. 17, Iss. 4, pp. 526-526
Open Access

A Marine Hydrographic Station Networks Intrusion Detection Method Based on LCVAE and CNN-BiLSTM
Tianhao Hou, Hongyan Xing, Xinyi Liang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 1, pp. 221-221
Open Access | Times Cited: 9

Spatial-temporal knowledge distillation for lightweight network traffic anomaly detection
Xintong Wang, Zixuan Wang, Enliang Wang, et al.
Computers & Security (2023) Vol. 137, pp. 103636-103636
Closed Access | Times Cited: 4

A Survey Study on Proposed Solutions for Imbalanced Big Data
Shaymaa Ahmed Razoqi, Ghayda Al-Talib
Iraqi Journal of Science (2024), pp. 1648-1662
Open Access | Times Cited: 1

Securing IoT networks: A robust intrusion detection system leveraging feature selection and LGBM
M. Ramesh Kumar, Pradeep Sudhakaran
Peer-to-Peer Networking and Applications (2024)
Closed Access | Times Cited: 1

Twin Delayed DDPG based Dynamic Power Allocation for Mobility in IoRT
Homayun Kabir, Mau‐Luen Tham, Yoong Choon Chang
Journal of Communications Software and Systems (2023) Vol. 19, Iss. 1, pp. 19-29
Open Access | Times Cited: 2

Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions
Ayuba John, Ismail Fauzi Isnin, Syed Hamid Hussain Madni, et al.
IET Wireless Sensor Systems (2024)
Open Access

Image Identification and Error Correction Method for Test Report Based on Deep Reinforcement Learning and IoT Platform in Smart Laboratory
Xiaojun Li, Peidong He, WenQi Shen, et al.
International Journal of Information Technologies and Systems Approach (2024) Vol. 17, Iss. 1, pp. 1-18
Open Access

An Improved Intrusion Detection in Wireless Sensor Networks Using Hybrid Multiclass Over-Sampling and Deep Neural Networks
Omeiza Aliyu. O, Bisallah Ibrahim Hashim, Okike Bnjamin, et al.
International Journal of Advances in Scientific Research and Engineering (2023) Vol. 09, Iss. 12, pp. 91-104
Open Access | Times Cited: 1

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