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:

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo, Boyang Li, Han Yu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 19

Showing 19 citing articles:

DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
Changsong Wen, Guoli Jia, Jufeng Yang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 27

Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs
Jiehuang Zhang, Ying Shu, Han Yu
International Journal of Crowd Science (2023) Vol. 7, Iss. 1, pp. 32-39
Open Access | Times Cited: 17

From Humor to Irony: A Transformer-Based Multi-Class Sarcasm Detection Framework
Ramakrishna Bodige, Ramesh babu Akarapu, Pramod kumar Poladi, et al.
(2025)
Closed Access

A Survey of Computer Vision Technologies in Urban and Controlled-environment Agriculture
Jiayun Luo, Boyang Li, Cyril Leung
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-39
Open Access | Times Cited: 11

Multimodal Sarcasm Target Identification in Tweets
Jiquan Wang, Lin Sun, Yi Liu, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 17

Class-biased sarcasm detection using BiLSTM variational autoencoder-based synthetic oversampling
Sankhadeep Chatterjee, Saranya Bhattacharjee, Kushankur Ghosh, et al.
Soft Computing (2023) Vol. 27, Iss. 9, pp. 5603-5620
Closed Access | Times Cited: 6

EID: Facilitating Explainable AI Design Discussions in Team-Based Settings
Jiehuang Zhang, Han Yu
International Journal of Crowd Science (2023) Vol. 7, Iss. 2, pp. 47-54
Open Access | Times Cited: 6

UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection using generative-based and mutation-based data augmentation
Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022)
Open Access | Times Cited: 9

Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?
Mondher Bouazizi, Tomoaki Ohtsuki
IEEE Access (2022) Vol. 10, pp. 55958-55987
Open Access | Times Cited: 8

Federated Learning for Personalized Humor Recognition
Xu Guo, Han Yu, Boyang Li, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 4, pp. 1-18
Open Access | Times Cited: 7

Sarcasm Detection in Twitter - Performance Impact While Using Data Augmentation: Word Embeddings
Alif Tri Handoyo, Hidayatur rahman, Criscentia Jessica Setiadi, et al.
International Journal of Fuzzy Logic and Intelligent Systems (2022) Vol. 22, Iss. 4, pp. 401-413
Open Access | Times Cited: 3

Leveraging Transformers for Robust Sarcasm Detection and Contextualunderstanding
Ramakrishna Bodige, Ramesh babu Akarapu, Pramod kumar Poladi
(2024)
Closed Access

Which is more faithful, seeing or saying? Multimodal sarcasm detection exploiting contrasting sentiment knowledge
Yutao Chen, Shumin Shi, Heyan Huang
CAAI Transactions on Intelligence Technology (2024)
Open Access

Cross Domain Hybrid Feature Fusion based Sarcastic Opinion Recognition Over E-Commerce Reviews Using Adversarial Transfer Learning
Parvati Kadli
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 2, pp. 152-165
Open Access | Times Cited: 1

Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter
Maciej Hercog, Piotr JaroĊ„ski, Jan Kolanowski, et al.
Lecture notes in computer science (2022), pp. 46-52
Closed Access | Times Cited: 2

Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
Heng-Yi Li, Yabo Ni, Anxiang Zeng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 12387-12395
Open Access | Times Cited: 1

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