Open Access Helper

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:

SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields
Nour El-Mawass, Paul Honeiné, Laurent Vercouter
Information Processing & Management (2020) Vol. 57, Iss. 6, pp. 102317-102317
Open Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

[Retracted] Forecast and Simulation of the Public Opinion on the Public Policy Based on the Markov Model
Zi Li
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 5
Detection of Email Spam using Natural Language Processing Based Random Forest Approach
M.A. Nivedha, S. Raja
International Journal of Computer Science and Mobile Computing (2022) Vol. 11, Iss. 2, pp. 7-22
Open Access | Times Cited: 3
GraphSAGE-Based Spammer Detection Using Social Attribute Relationship
Bing-Yun Jin, Shiou-Chi Li, Jen-Wei Huang
Communications in computer and information science (2024), pp. 300-313
Closed Access
Identification of Spam on Social Media by Semi-supervised Learning Approach
Sudana Shashi Kiran, Sure Uday Kiran, Elluru Amrutha, et al.
(2024), pp. 134-153
Closed Access
Towards a reliable spam detection: an ensemble classification with rejection option
Cleber Olivo, Altair O. Santin, Eduardo K. Viegas, et al.
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access
A graph neural architecture search approach for identifying bots in social media
Georgios Tzoumanekas, Michail Chatzianastasis, Loukas Ilias, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
NRWalk2Vec-HIN: spammer group detection based on heterogeneous information network embedding over social media
Arvind Mewada, Rupesh Kumar Dewang
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 1818-1851
Closed Access | Times Cited: 1
Email Spam Behavioral Sieving Technique using Hybrid Algorithm
S. Jancy Sickory Daisy, A. Rijuvana Begum
(2023), pp. 687-693
Closed Access | Times Cited: 1
Hybrid-MELAu: A Hybrid Mixing Engineered Linguistic Features Based on Autoencoder for Social Bot Detection.
Zineb Ferhat Hamida, Allaoua Refouf, Ahlem Drif, et al.
Informatica (2022) Vol. 46, Iss. 6
Open Access | Times Cited: 2
Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches
Ziming Zeng, Tingting Li, Jingjing Sun, et al.
Data Technologies and Applications (2022) Vol. 57, Iss. 2, pp. 177-198
Closed Access | Times Cited: 2
A novel integrated framework based on multi-view features for multidimensional social bot detection
Tingting Li, Ziming Zeng, Shouqiang Sun, et al.
Journal of Information Science (2022) Vol. 50, Iss. 5, pp. 1148-1169
Closed Access | Times Cited: 2
Time-Dynamic Markov Random Fields for price outcome prediction in the presence of lobbying
Julia García Cabello
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 3846-3866
Open Access | Times Cited: 2
A Methodology for Redesigning Networks by Using Markov Random Fields
Julia García Cabello, Pedro Á. Castillo, María del Carmen Aguilar‐Luzón, et al.
Mathematics (2021) Vol. 9, Iss. 12, pp. 1389-1389
Open Access | Times Cited: 1
Unsupervised Spammer Detection in Social Networks based on User Information Interests
Darshika Koggalahewa, Yue Xu, Ernest Foo
Research Square (Research Square) (2021)
Open Access | Times Cited: 1
Characterizing Recent Trends in U.S. Civic Engagement Activity Interdependence and Participant Behavioral Profile Similarity
Trevor S. Farthing, Kyle Brees, Laura Hanson Schlachter, et al.
(2023)
Open Access
Detection of Fake Profiles on Social Networks using Machine Learning ANN & SVM Algorithms
D. Kavitha, K Sri
International Journal of Food and Nutritional Sciences (2023) Vol. 11, Iss. 4, pp. 128-134
Open Access
Evaluating the Performance of Machine Learning Classifiers for Detecting Twitter Spam
Dipalee Bhalerao Borse, Swati Borse, Vijaya Ahire
International Journal of Computer Applications (2023) Vol. 185, Iss. 10, pp. 12-17
Open Access
Towards a Reliable Spam Detection: An Ensemble classification with rejection option
Cleber Olivo, Altair O. Santin, Eduardo K. Viegas, et al.
Research Square (Research Square) (2023)
Open Access
A Unified Neuro-Fuzzy Framework to Assess the User Credibility on Twitter
K. Laila, P. Jayashree, V. Vinuvarsidh
IETE Journal of Research (2023) Vol. 70, Iss. 2, pp. 1407-1424
Closed Access
Spammer detection in social networks based on user behaviours
Darshika Koggalahewa
(2023)
Open Access
Developing a Deep Learning Model to Classify Malicious User on Social Networks
Samant Verma, Shailja Shukla
(2023), pp. 1-6
Closed Access
Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model
Bharati Ainapure, Mythili Boopathi, Chandra Sekhar Kolli, et al.
International Journal of Image and Graphics (2022) Vol. 23, Iss. 04
Closed Access
Fractional order Fish Migration Optimization Algorithm for Spam Detection in Twitter Data Stream
Shireen Meher
Journal of Networking and Communication Systems (JNACS) (2021) Vol. 4, Iss. 4, pp. 33-42
Open Access
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