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:

Leveraging Adversarial Augmentation on Imbalance Data for Online Trading Fraud Detection
Teng Hu, Cheng Wang, Qing Yang, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1602-1614
Closed Access | Times Cited: 5

Showing 5 citing articles:

Financial Fraud Detection Based on Deep Learning: Towards Large-Scale Pre-training Transformer Models
Haitao Wang, Jiale Zheng, Ivan E. Carvajal-Roca, et al.
Communications in computer and information science (2023), pp. 163-177
Closed Access | Times Cited: 5

VGAN-BL: imbalanced data classification based on generative adversarial network and biased loss
Hongwei Ding, Yu Sun, Nana Huang, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2883-2899
Closed Access | Times Cited: 3

Financial Fraud Detection using Improved Artificial Humming Bird Algorithm with Modified Extreme Learning Machine
V. Rama Krishna, B. Sekhar Babu
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 05-14
Open Access

Towards Efficient Anomaly Detection Using Memory Broad Learning System
Zhijie Zhong, Kaixiang Yang, Zhiwen Yu, et al.
(2023), pp. 252-257
Closed Access

Hard Anomaly Detection: An Adversarial Data Augmentation Solution
Teng Hu, Cheng Wang, Qing Yang, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 1065-1075
Closed Access

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