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:

Cyber Threat Intelligence Entity Extraction Based on Deep Learning and Field Knowledge Engineering
Xuren Wang, Runshi Liu, Jie Yang, et al.
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (2022), pp. 406-413
Closed Access | Times Cited: 8

Showing 8 citing articles:

STIOCS: Active learning-based semi-supervised training framework for IOC extraction
Binhui Tang, Xiaohui Li, Junfeng Wang, et al.
Computers & Electrical Engineering (2023) Vol. 112, pp. 108981-108981
Closed Access | Times Cited: 4

ITIRel: Joint Entity and Relation Extraction for Internet of Things Threat Intelligence
Feng Zhu, Zidong Cheng, Peng Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 20867-20878
Closed Access | Times Cited: 1

Integrating AI with medical industry chain data: enhancing clinical nutrition research through semantic knowledge graphs
Chen Deng, Chengjie Lu, HongPeng Bai, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 1

Agriculture 4.0 and Beyond: Evaluating Cyber Threat Intelligence Sources and Techniques in Smart Farming Ecosystems
Hang Thanh Bui, Dr Hamed Aboutorab, Dr Arash Mahboubi, et al.
(2024)
Closed Access

BVTED: A Specialized Bilingual (Chinese–English) Dataset for Vulnerability Triple Extraction Tasks
Kai Liu, Yi Wang, Zhaoyun Ding, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7310-7310
Open Access

A Review on Machine Learning and Deep Learning Methods to Fortify Cyberspace
N Junnu Babu, J Bhargav, Vanapalli Mounica, et al.
2022 1st International Conference on Computational Science and Technology (ICCST) (2022), pp. 1-5
Closed Access | Times Cited: 1

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