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:

Spam Email Detection Using Machine Learning and Deep Learning Techniques
Pooja Malhotra, Sanjay Kumar Malik
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 15

Showing 15 citing articles:

Integrated approach to latent representation generation and classifier optimization
N. S. Pradeep, Fayiza Muhammed, Mahesh Nair
AIP conference proceedings (2025) Vol. 3281, pp. 030044-030044
Closed Access

Efficient email spam classification using k nearest neighbor compared over firefly for improved accuracy
Kulamala Vinod Kumar, G. Mary Valantina
AIP conference proceedings (2025) Vol. 3252, pp. 020094-020094
Closed Access

A Systematic Review on Deep-Learning-Based Phishing Email Detection
Kutub Thakur, Md Liakat Ali, Muath Obaidat, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4545-4545
Open Access | Times Cited: 10

E-mail Spam Detection Using Machine Learning
Babita Sonare, Gulbakshee Dharmale, Aditya Renapure, et al.
(2023)
Closed Access | Times Cited: 7

Explainable AI-based Framework for Efficient Detection of Spam from Text using an Enhanced Ensemble Technique
Ahmed Alzahrani
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15596-15601
Open Access | Times Cited: 1

Zero-Shot Spam Email Classification Using Pre-trained Large Language Models
Sergio Rojas–Galeano
Communications in computer and information science (2024), pp. 3-18
Closed Access | Times Cited: 1

Study of Machine Learning and Deep Learning Algorithms for the Detection of Email Spam based on Python Implementation
Sahote Tejinder Singh Surinder Pal Singh, Madhuri Dinesh Gabhane, Chaitanya Vijaykumar Mahamuni
(2023), pp. 637-642
Closed Access | Times Cited: 4

Classification of SPAM mail utilizing machine learning and deep learning techniques
Bandar Alshawi, Amr A. Munshi, Majid Alotaibi, et al.
International Journal on Information Technologies and Security (2024) Vol. 16, Iss. 2, pp. 71-82
Open Access | Times Cited: 1

Strengthening Cybersecurity: A Comparative Study of KNN and Random Forest for Spam Detection
Sanya Joshi, Japanpreet, Lekha Rani, et al.
Lecture notes in networks and systems (2024), pp. 337-350
Closed Access

Detection and Classification of Spam Email: A Machine Learning-Based Experimental Analysis
Sumaiya Rahman, Afjal H. Sarower, Touhid Bhuiyan
Lecture notes in networks and systems (2024), pp. 241-260
Closed Access

Detection and Classification of Spam in Social Media Comments Using Artificial Intelligence – A Case Study
Vasco Alves, Jorge Ribeiro
Lecture notes in computer science (2024), pp. 311-323
Closed Access

Assessment of Enhanced Email Spam Detection System Through Machine Learning Algorithms
Meruva Sreenivasulu, Ch. Ramesh Babu, N. Ramanjaneya Reddy, et al.
Lecture notes in networks and systems (2024), pp. 85-94
Closed Access

Machine-Learning-Driven Detection of Malicious Emails and Fake Websites
Charanjeet Dadiyala, Minal Ghate, Anirudha Shekdar, et al.
Lecture notes in networks and systems (2024), pp. 343-364
Closed Access

Development of A Webmail and Integration With Spam Detection System Using Bi-LSTM Method
Jenifer Valensya Ama, Hilal H. Nuha, Niken Dwi Wahyu Cahyani, et al.
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2024), pp. 1-6
Closed Access

Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms
Vatan Koshti, Aditi Gaherwar, Twinkle Ramteke, et al.
International Journal of Advanced Research in Science Communication and Technology (2022), pp. 116-122
Open Access | Times Cited: 1

Page 1

Scroll to top