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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:

A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities
R. Vinayakumar, Mamoun Alazab, Sriram Srinivasan, et al.
IEEE Transactions on Industry Applications (2020) Vol. 56, Iss. 4, pp. 4436-4456
Closed Access | Times Cited: 288

Showing 1-25 of 288 citing articles:

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc‐Viet Pham, Fang Fang, Vu Nguyen Ha, et al.
IEEE Access (2020) Vol. 8, pp. 116974-117017
Open Access | Times Cited: 744
Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects
Abdul Rehman Javed, Faisal Shahzad, Saif Ur Rehman, et al.
Cities (2022) Vol. 129, pp. 103794-103794
Open Access | Times Cited: 384
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
Quoc‐Viet Pham, Dinh C. Nguyen, Thien Huynh‐The, et al.
IEEE Access (2020) Vol. 8, pp. 130820-130839
Open Access | Times Cited: 349
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
Thippa Reddy Gadekallu, Dharmendra Singh Rajput, Praveen Kumar Reddy Maddikunta, et al.
Journal of Real-Time Image Processing (2020) Vol. 18, Iss. 4, pp. 1383-1396
Closed Access | Times Cited: 270
Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks
Imtiaz Ullah, Qusay H. Mahmoud
IEEE Access (2021) Vol. 9, pp. 103906-103926
Open Access | Times Cited: 268
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Yuanhang Qi, M. Shamim Hossain, Jiangtian Nie, et al.
Future Generation Computer Systems (2020) Vol. 117, pp. 328-337
Closed Access | Times Cited: 250
Fusion of Federated Learning and Industrial Internet of Things: A survey
M. Parimala, Swarna Priya Ramu, Quoc‐Viet Pham, et al.
Computer Networks (2022) Vol. 212, pp. 109048-109048
Open Access | Times Cited: 187
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
Mohamed Amine Ferrag, Lei Shu, Djallel Hamouda, et al.
Electronics (2021) Vol. 10, Iss. 11, pp. 1257-1257
Open Access | Times Cited: 175
A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network
Shahid Latif, Zhuo Zou, Zeba Idrees, et al.
IEEE Access (2020) Vol. 8, pp. 89337-89350
Open Access | Times Cited: 157
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Thippa Reddy Gadekallu, Quoc‐Viet Pham, Dinh C. Nguyen, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 2, pp. 964-988
Open Access | Times Cited: 146
Network Flow based IoT Botnet Attack Detection using Deep Learning
S. Sriram, R. Vinayakumar, Mamoun Alazab, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2020)
Closed Access | Times Cited: 145
The big picture on the internet of things and the smart city: a review of what we know and what we need to know
Abderahman Rejeb, Karim Rejeb, Steve Simske, et al.
Internet of Things (2022) Vol. 19, pp. 100565-100565
Open Access | Times Cited: 131
Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare Systems
Randhir Kumar, Prabhat Kumar, Rakesh Tripathi, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 11, pp. 8065-8073
Open Access | Times Cited: 124
DCNNBiLSTM: An Efficient Hybrid Deep Learning-Based Intrusion Detection System
Vanlalruata Hnamte, Jamal Hussain
Telematics and Informatics Reports (2023) Vol. 10, pp. 100053-100053
Open Access | Times Cited: 113
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
Mayra Macas, Chunming Wu, Walter Fuertes
Computer Networks (2022) Vol. 212, pp. 109032-109032
Closed Access | Times Cited: 92
Impact of Digital Twins and Metaverse on Cities: History, Current Situation, and Application Perspectives
Zhihan Lv, Wen‐Long Shang, Mohsen Guizani
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12820-12820
Open Access | Times Cited: 84
Priority Queueing Model-Based IoT Middleware for Load Balancing
P. Ajay, Avinash Sharma, Dankan Gowda, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2022), pp. 425-430
Closed Access | Times Cited: 78
Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks
Rajasekhar Chaganti, Wael Suliman, Vinayakumar Ravi, et al.
Information (2023) Vol. 14, Iss. 1, pp. 41-41
Open Access | Times Cited: 75
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen, Jinxin Liu, Yu Shen, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-37
Open Access | Times Cited: 73
An overview of IoT privacy and security in smart cities
Sabyasachi Pramanik, Digvijay Pandey, Subhankar Joardar, et al.
AIP conference proceedings (2023)
Closed Access | Times Cited: 73
Network anomaly detection using deep learning techniques
Mohammad Kazim Hooshmand, Doreswamy Hosahalli
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 2, pp. 228-243
Open Access | Times Cited: 70
Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach
B.L. Sharma, Lokesh Sharma, Chhagan Lal, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121751-121751
Open Access | Times Cited: 63
Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
Mayra Macas, Chunming Wu, Walter Fuertes
Expert Systems with Applications (2023) Vol. 238, pp. 122223-122223
Closed Access | Times Cited: 42
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
Jyostna Devi Bodapati, N. Veeranjaneyulu, Nagur Shareef Shaik, et al.
Electronics (2020) Vol. 9, Iss. 6, pp. 914-914
Open Access | Times Cited: 133
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Rajesh Kumar, Wenyong Wang, Jay Kumar, et al.
Computerized Medical Imaging and Graphics (2020) Vol. 87, pp. 101812-101812
Closed Access | Times Cited: 133
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