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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.

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Showing 26-50 of 96 citing articles:

AdaFT: An efficient domain-adaptive fine-tuning framework for sentiment analysis in chinese financial texts
Guofeng Yan, Kuashuai Peng, Yongfeng Wang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
Yanyuan Qiao, Yu Zheng, Qi Wu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 9
Challenges and opportunities of using transformer-based multi-task learning in NLP through ML lifecycle: A position paper
Lovre Torbarina, Tin Ferkovic, Łukasz Roguski, et al.
Natural Language Processing Journal (2024) Vol. 7, pp. 100076-100076
Open Access | Times Cited: 3
Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering
Iman Saberi, Fatemeh H. Fard, Fuxiang Chen
Empirical Software Engineering (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 3
Parameter-efficient fine-tuning on large protein language models improves signal peptide prediction
Shuai Zeng, Duolin Wang, Lei Jiang, et al.
Genome Research (2024) Vol. 34, Iss. 9, pp. 1445-1454
Closed Access | Times Cited: 3
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
Linlin Liu, Xin Li, Ruidan He, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 14
ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models
Aditya Shah, Surendrabikram Thapa, Aneesh Jain, et al.
(2023), pp. 121-128
Open Access | Times Cited: 7
Efficient Few-Shot Fine-Tuning for Opinion Summarization
Arthur Bražinskas, Ramesh Nallapati, Mohit Bansal, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 1509-1523
Open Access | Times Cited: 11
Frustratingly Easy Label Projection for Cross-lingual Transfer
Yang Chen, Chao Jiang, Alan Ritter, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 5775-5796
Open Access | Times Cited: 6
SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification
Benjamin M. Wu, Olesya Razuvayevskaya, Freddy Heppell, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1995-2008
Open Access | Times Cited: 6
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers
Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, et al.
(2023), pp. 1161-1173
Open Access | Times Cited: 6
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
Shibo Jie, Haoqing Wang, Zhihong Deng
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 17171-17180
Open Access | Times Cited: 6
Self-Evolution Learning for Discriminative Language Model Pretraining
Qihuang Zhong, Liang Ding, Juhua Liu, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 5
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
Euna Jung, Jaekeol Choi, Wonjong Rhee
Proceedings of the ACM Web Conference 2022 (2022)
Open Access | Times Cited: 9
Adaptable Adapters
Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 8
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters
Tilman Beck, Bela Bohlender, Christina Viehmann, et al.
(2022)
Open Access | Times Cited: 7
Bridging Argument Quality and Deliberative Quality Annotations with Adapters
Neele Falk, Gabriella Lapesa
(2023), pp. 2469-2488
Open Access | Times Cited: 4
Does a language model “understand” high school math? A survey of deep learning based word problem solvers
Sowmya S. Sundaram, Sairam Gurajada, Deepak Padmanabhan, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 1
Advances in edge-cloud collaboration and evolution for large-small models
Yongwei Wang, Tao Shen, Shengyu Zhang, et al.
Journal of Image and Graphics (2024) Vol. 29, Iss. 6, pp. 1510-1534
Closed Access | Times Cited: 1
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
Zhiwen Chen, Zhiyu Zhu, Yifan Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 3890-3900
Closed Access | Times Cited: 1
SF-SAM-Adapter: SAM-based segmentation model integrates prior knowledge for gaze image reflection noise removal
Ting Lei, Jing Chen, Chen Ji-xiang
Alexandria Engineering Journal (2024) Vol. 111, pp. 521-529
Open Access | Times Cited: 1
Modular and Parameter-Efficient Fine-Tuning for NLP Models
Sebastian Ruder, Jonas Pfeiffer, Ivan Vulić
(2022)
Open Access | Times Cited: 6
Multilingual Sentence Transformer as A Multilingual Word Aligner
Weikang Wang, Guanhua Chen, Hanqing Wang, et al.
(2022), pp. 2952-2963
Open Access | Times Cited: 6
Model-Agnostic Syntactical Information for Pre-Trained Programming Language Models
Iman Saberi, Fatemeh H. Fard
(2023), pp. 183-193
Open Access | Times Cited: 3
On Robustness of Finetuned Transformer-based NLP Models
Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, et al.
(2023), pp. 7180-7195
Open Access | Times Cited: 3

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