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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:

The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
Annemarie Friedrich, Heike Adel, Federico Tomazic, et al.
(2020)
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Data-driven materials research enabled by natural language processing and information extraction
Elsa Olivetti, Jacqueline M. Cole, Edward Kim, et al.
Applied Physics Reviews (2020) Vol. 7, Iss. 4
Open Access | Times Cited: 214
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel, 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: 190
An Analysis of Simple Data Augmentation for Named Entity Recognition
Xiang Dai, Heike Adel
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 162
MatSciBERT: A materials domain language model for text mining and information extraction
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 159
Opportunities and challenges of text mining in materials research
Olga Kononova, Tanjin He, Haoyan Huo, et al.
iScience (2021) Vol. 24, Iss. 3, pp. 102155-102155
Open Access | Times Cited: 126
Sequential sentence classification in research papers using cross-domain multi-task learning
Arthur Brack, Elias Entrup, Markos Stamatakis, et al.
International Journal on Digital Libraries (2024) Vol. 25, Iss. 2, pp. 377-400
Open Access | Times Cited: 14
Reconstructing the materials tetrahedron: challenges in materials information extraction
Kausik Hira, Mohd Zaki, Dhruvil Sheth, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 1021-1037
Open Access | Times Cited: 5
Unleashing the Power of Knowledge Extraction from Scientific Literature in Catalysis
Yue Zhang, Cong Wang, Mya Soukaseum, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 14, pp. 3316-3330
Open Access | Times Cited: 20
ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols
Zheren Wang, Kevin Cruse, Yuxing Fei, et al.
Digital Discovery (2022) Vol. 1, Iss. 3, pp. 313-324
Open Access | Times Cited: 18
SsciBERT: a pre-trained language model for social science texts
Shen Si, Jiangfeng Liu, Litao Lin, et al.
Scientometrics (2022) Vol. 128, Iss. 2, pp. 1241-1263
Closed Access | Times Cited: 16
Sentence Boundary Extraction from Scientific Literature of Electric Double Layer Capacitor Domain: Tools and Techniques
M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1352-1352
Open Access | Times Cited: 14
Food composition databases in the era of Big Data: Vegetable oils as a case study
Henrique Ferraz de Arruda, Alberto Aleta, Yamir Moreno
Frontiers in Nutrition (2023) Vol. 9
Open Access | Times Cited: 8
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Yu Song, Santiago Miret, Bang Liu
(2023)
Open Access | Times Cited: 8
Application of machine reading comprehension techniques for named entity recognition in materials science
Zihui Huang, Liqiang He, Yuhang Yang, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies
Arthur Brack, Anett Hoppe, Markus Stocker, et al.
International Journal on Digital Libraries (2021) Vol. 23, Iss. 1, pp. 33-55
Open Access | Times Cited: 16
The Impact of Domain-Specific Pre-Training on Named Entity Recognition Tasks in Materials Science
Nicholas Walker, Amalie Trewartha, Haoyan Huo, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 16
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain
Lukas Lange, Heike Adel, Jannik Strötgen, et al.
Bioinformatics (2022) Vol. 38, Iss. 12, pp. 3267-3274
Open Access | Times Cited: 11
Cross-domain multi-task learning for sequential sentence classification in research papers
Arthur Brack, Anett Hoppe, Pascal Buschermöhle, et al.
(2022)
Open Access | Times Cited: 11
NLP Methods’ Information Extraction for Textual Data: An Analytical Study
Bouchaib Benkassioui, Nassim Kharmoum, Youssef Hadi, et al.
Lecture notes in networks and systems (2023), pp. 515-527
Closed Access | Times Cited: 6
What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text
Biaoyan Fang, Timothy Baldwin, Karin Verspoor
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3481-3495
Open Access | Times Cited: 10
MaterialBERT for natural language processing of materials science texts
Michiko Yoshitake, Fumitaka Sato, Hiroyuki Kawano, et al.
Science and Technology of Advanced Materials Methods (2022) Vol. 2, Iss. 1, pp. 372-380
Open Access | Times Cited: 8
Measurement Extraction with Natural Language Processing: A Review
Jan Göpfert, Patrick Kuckertz, Jann Michael Weinand, et al.
(2022)
Open Access | Times Cited: 8
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
Lukas Lange, Jannik Strötgen, Heike Adel, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 8744-8753
Open Access | Times Cited: 10
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text
Tim O’Gorman, Zach Jensen, Sheshera Mysore, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 1337-1352
Open Access | Times Cited: 9
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains
Koustava Goswami, Lukas Lange, Jun Araki, et al.
(2023), pp. 2689-2695
Open Access | Times Cited: 3
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