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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 51-75 of 125 citing articles:

InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Nils Feldhus, Qianli Wang, Tatiana Anikina, et al.
(2023), pp. 5399-5421
Open Access | Times Cited: 4
Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools
Piero Fraternali, Federico Milani, Rocio Nahime Torres, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 4, pp. 3041-3062
Open Access | Times Cited: 7
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention
Yacine Gaci, Boualem Benatallah, Fabio Casati, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 9582-9602
Open Access | Times Cited: 7
What-If XAI Framework (WiXAI): From Counterfactuals towards Causal Understanding
Neelabh Kshetry, Mehmed Kantardzic
Journal of Computer and Communications (2024) Vol. 12, Iss. 06, pp. 169-198
Open Access | Times Cited: 1
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability
Tong Zhang, X. Jessie Yang, Boyang Li
International Journal of Human-Computer Interaction (2024), pp. 1-25
Open Access | Times Cited: 1
Evaluating What Others Say: The Effect of Accuracy Assessment in Shaping Mental Models of AI Systems
Hyo Jin, Michelle Brachman, Casey Dugan, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-26
Open Access | Times Cited: 1
diagNNose: A Library for Neural Activation Analysis
Jaap Jumelet
(2020), pp. 342-350
Open Access | Times Cited: 10
Explainable Natural Language Processing
Anders Søgaard
Synthesis lectures on human language technologies (2021) Vol. 14, Iss. 3, pp. 1-123
Closed Access | Times Cited: 8
LMdiff: A Visual Diff Tool to Compare Language Models
Hendrik Strobelt, Benjamin Hoover, Arvind Satyanaryan, et al.
(2021), pp. 96-105
Open Access | Times Cited: 8
Context sight
Jun Yuan, Enrico Bertini
(2022), pp. 1-7
Closed Access | Times Cited: 6
Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti, Nils Feldhus, Ludwig Sickert, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
Zijie J. Wang, Duen Horng Chau
(2023)
Open Access | Times Cited: 3
NeuroX Library for Neuron Analysis of Deep NLP Models
Fahim Dalvi, Hassan Sajjad, Nadir Durrani
(2023), pp. 226-234
Open Access | Times Cited: 3
Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)

(2022)
Open Access | Times Cited: 5
TextAttack: Lessons learned in designing Python frameworks for NLP
John X. Morris, Jin Yong Yoo, Yanjun Qi
(2020)
Open Access | Times Cited: 7
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
(2021), pp. 87-95
Open Access | Times Cited: 7
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 5
XAINES: Explaining AI with Narratives
Mareike Hartmann, Han Du, Nils Feldhus, et al.
KI - Künstliche Intelligenz (2022) Vol. 36, Iss. 3-4, pp. 287-296
Open Access | Times Cited: 5
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
Jesse Vig, Wojciech Kryściński, Karan Goel, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 6
FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications
Jean Lee, Hoyoul Luis Youn, Nicholas Stevens, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 2560-2564
Open Access | Times Cited: 6
VNLP: Visible natural language processing
Mohammad Alharbi, Matthew Roach, Tom Cheesman, et al.
Information Visualization (2021) Vol. 20, Iss. 4, pp. 245-262
Open Access | Times Cited: 6
ConceptX: A Framework for Latent Concept Analysis
Firoj Alam, Fahim Dalvi, Nadir Durrani, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 13, pp. 16395-16397
Open Access | Times Cited: 2
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Xingbo Wang, Renfei Huang, Zhihua Jin, et al.
IEEE Transactions on Visualization and Computer Graphics (2023), pp. 1-11
Open Access | Times Cited: 2
EVALIGN: Visual Evaluation of Translation Alignment Models
Tariq Yousef, Gerhard Heyer, Stefan Jänicke
(2023), pp. 277-297
Open Access | Times Cited: 2
A Comprehensive Framework for Ensuring the Trustworthiness of AI Systems
Stefan Brünner, Carmen Frischknecht-Gruber, Monika Reif, et al.
(2023), pp. 2772-2779
Open Access | Times Cited: 2

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