
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:
Showing 5 citing articles:
A Machine Learning Approach to Industry Classification in Financial Markets
Rian Dolphin, Barry Smyth, Ruihai Dong
Communications in computer and information science (2023), pp. 81-94
Open Access | Times Cited: 4
Rian Dolphin, Barry Smyth, Ruihai Dong
Communications in computer and information science (2023), pp. 81-94
Open Access | Times Cited: 4
Supervised similarity learning for corporate bonds using Random Forest proximities
Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, et al.
(2022) Vol. 2, pp. 411-419
Open Access | Times Cited: 7
Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, et al.
(2022) Vol. 2, pp. 411-419
Open Access | Times Cited: 7
Learning Mutual Fund Categorization using Natural Language Processing
Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, et al.
(2022) Vol. 6, pp. 87-95
Open Access | Times Cited: 5
Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, et al.
(2022) Vol. 6, pp. 87-95
Open Access | Times Cited: 5
Contrastive Learning of Asset Embeddings from Financial Time Series
Rian Dolphin, Barry Smyth, Ruihai Dong
(2024), pp. 379-387
Open Access
Rian Dolphin, Barry Smyth, Ruihai Dong
(2024), pp. 379-387
Open Access
SETN: Stock Embedding Enhanced with Textual and Network Information
Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 2377-2382
Open Access | Times Cited: 1
Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 2377-2382
Open Access | Times Cited: 1