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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:

Detecting Hate Speech in Multi-modal Memes
Abhishek Das, Japsimar Singh Wahi, Siyao Li
arXiv (Cornell University) (2020)
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Detecting Harmful Memes and Their Targets
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.
(2021)
Open Access | Times Cited: 68
Detecting Propaganda Techniques in Memes
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, et al.
(2021)
Open Access | Times Cited: 68
Disentangling Hate in Online Memes
Roy Ka-Wei Lee, Rui Cao, Ziqing Fan, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021), pp. 5138-5147
Open Access | Times Cited: 55
HateMM: A Multi-Modal Dataset for Hate Video Classification
Mithun Das, Rohit Raj, Punyajoy Saha, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2023) Vol. 17, pp. 1014-1023
Open Access | Times Cited: 16
A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions
Ali Alhazmi, Rohana Mahmud, Norisma Idris, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1966-e1966
Open Access | Times Cited: 5
DISARM: Detecting the Victims Targeted by Harmful Memes
Shivam Sharma, Md Shad Akhtar, Preslav Nakov, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 17
Understanding and Detecting Hateful Content Using Contrastive Learning
Felipe González-Pizarro, Savvas Zannettou
Proceedings of the International AAAI Conference on Web and Social Media (2023) Vol. 17, pp. 257-268
Open Access | Times Cited: 10
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
Shivam Sharma, Atharva Kulkarni, Tharun Suresh, et al.
(2023)
Open Access | Times Cited: 10
Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study (Preprint)
Thu T. Nguyen, Xiaohe Yue, Heran Mane, et al.
(2025)
Closed Access
Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study
Thu T. Nguyen, Xiaohe Yue, Heran Mane, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e72822-e72822
Open Access
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Rose Kirk, Yennie Jun, Paulius Rauba, et al.
(2021)
Open Access | Times Cited: 18
Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 9, pp. 6605-6623
Open Access | Times Cited: 13
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection
Linhao Zhang, Jin Li, Xian Sun, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4884-4892
Open Access | Times Cited: 7
Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning
Arijit Das, Somashree Nandy, Rupam Saha, et al.
(2024)
Open Access | Times Cited: 2
Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View
Shuwen Wang, Xingquan Zhu, Weiping Ding, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 8, pp. 1384-1405
Closed Access | Times Cited: 9
Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context
Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, et al.
Datenbank-Spektrum (2023) Vol. 23, Iss. 1, pp. 27-39
Open Access | Times Cited: 4
IRFL: Image Recognition of Figurative Language
Ron Yosef, Yonatan Bitton, Dafna Shahaf
(2023), pp. 1044-1058
Open Access | Times Cited: 4
Emotion-Aware Multimodal Fusion for Meme Emotion Detection
Shivam Sharma, S Ramaneswaran, Md Shad Akhtar, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1800-1811
Open Access | Times Cited: 1
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
Jialin Yuan, Ye Yu, Gaurav Mittal, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 8517-8527
Open Access | Times Cited: 1
Adding compact parameter blocks to multimodal transformers to detect harmful memes
Paulo Hermida, Eulanda M. dos Santos
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109136-109136
Closed Access | Times Cited: 1
Amharic Language Hate Speech Detection System from Facebook Memes Using Deep Learning System
Mequanent Degu, Abebe Tesfahun, Haymanot Takele
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 3
DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and Classification
Ziming Zhou, Han Zhao, Jingjing Dong, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022)
Open Access | Times Cited: 5
Capturing the Concept Projection in Metaphorical Memes for Downstream Learning Tasks
Sathwik Acharya, Bhaskarjyoti Das, T. S. B. Sudarshan
IEEE Access (2023) Vol. 12, pp. 1250-1265
Open Access | Times Cited: 2
A Survey on Multimodal Disinformation Detection
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Identification of Trolling in Memes Using Convolutional Neural Networks
Manohar Gowdru Shridara, Daniel Hládek, Matúš Pleva, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
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