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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:

Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100176-100176
Open Access | Times Cited: 117

Showing 26-50 of 117 citing articles:

Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms
Zhihong Zhao, Tongyuan Bai
Entropy (2022) Vol. 24, Iss. 8, pp. 1157-1157
Open Access | Times Cited: 18
Recent Advances in Cybersecurity and Fraud Detection in Financial Services: A Survey
Aakriti Bajracharya, Barron Harvey, Danda B. Rawat
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 0368-0374
Closed Access | Times Cited: 9
FinChain-BERT: A High-Accuracy Automatic Fraud Detection Model Based on NLP Methods for Financial Scenarios
Xinze Yang, Chunkai Zhang, Yizhi Sun, et al.
Information (2023) Vol. 14, Iss. 9, pp. 499-499
Open Access | Times Cited: 9
Financial fraud detection for Chinese listed firms: Does managers' abnormal tone matter?
Jingyu Li, Ce Guo, Sijia Lv, et al.
Emerging Markets Review (2024) Vol. 62, pp. 101170-101170
Closed Access | Times Cited: 3
Intelligent Optimization Based Multi-Factor Deep Learning Stock Selection Model and Quantitative Trading Strategy
Jujie Wang, Zhenzhen Zhuang, Feng Liu
Mathematics (2022) Vol. 10, Iss. 4, pp. 566-566
Open Access | Times Cited: 15
Explainable Graph-based Fraud Detection via Neural Meta-graph Search
Zidi Qin, Yang Liu, Qing He, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 4414-4418
Open Access | Times Cited: 14
The Future of Finance
Poonam Sharma, S.Nivethitha Devi
Advances in business information systems and analytics book series (2023), pp. 187-210
Closed Access | Times Cited: 8
Independence and Competence on Audit Fraud Detection: Role of Professional Skepticism as Moderating
Muhdi B. H. Ibrahim Muhamad Y.Noch
Jurnal Akuntansi (2022) Vol. 26, Iss. 1, pp. 161-161
Open Access | Times Cited: 13
Financial and ESG reporting in times of uncertainty
Beata Zyznarska-Dworczak
Zeszyty Teoretyczne Rachunkowości (2022) Vol. 46, Iss. 4, pp. 161-180
Open Access | Times Cited: 12
A divide and conquer framework for Knowledge Editing
Xiaoqi Han, Ru Li, Xiaoli Li, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110826-110826
Closed Access | Times Cited: 7
ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ В ОБЛІКОВО-АНАЛІТИЧНИХ ПРОЦЕСАХ
Алла Фатенок-Ткачук, Олена Скорук, Ілля Захарчук, et al.
Economic journal of Lesya Ukrainka Volyn National University (2024) Vol. 2, Iss. 38, pp. 21-29
Open Access | Times Cited: 2
Legal Knowledge and Information Systems

Frontiers in artificial intelligence and applications (2022)
Open Access | Times Cited: 11
A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications
Lili Pan, Lin Wang, Qianqian Feng
Sustainability (2022) Vol. 14, Iss. 12, pp. 7078-7078
Open Access | Times Cited: 11
User Behavior Pre-training for Online Fraud Detection
Can Liu, Yuncong Gao, Li Sun, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 3357-3365
Open Access | Times Cited: 11
Bibliometric analysis of risk science from 1996 to 2021: insights and implications
Jun Hao, Jianping Li, Dengsheng Wu
Journal of Risk Research (2023) Vol. 26, Iss. 5, pp. 485-501
Closed Access | Times Cited: 6
Risk communication in multistakeholder engagement: A novel spatial econometric model
Shun Jia Liu, Jianping Li, Dengsheng Wu, et al.
Risk Analysis (2023) Vol. 44, Iss. 1, pp. 87-107
Closed Access | Times Cited: 6
Integrated SVM-FFNN for Fraud Detection in Banking Financial Transactions
Udayakumar Dr.R., Dr.P. Bharath Kumar Chowdary, Devi Dr.T., et al.
Journal of Internet Services and Information Security (2023) Vol. 13, Iss. 4, pp. 12-25
Open Access | Times Cited: 6
Design and Application of Intelligent Financial Accounting Model Based on Knowledge Graph
Xuechen Hou
Mobile Information Systems (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 10
Pollution Emissions and Economic Growth Revisited: A Novel Model of Spatial Hyperbolic Decomposition in Sewage Reduction Risk Management
Shun Jia Liu, Jianping Li, Xinlong Xu
Water Resources Research (2022) Vol. 58, Iss. 7
Closed Access | Times Cited: 10
NRD: A node importance evaluation algorithm based on neighborhood reliance degree for power networks
Min Zhao, Junhan Ye, Jiayun Li, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 624, pp. 128941-128941
Closed Access | Times Cited: 5
Using GNN to detect financial fraud based on the related party transactions network
Xuting Mao, Mingxi Liu, Yinghui Wang
Procedia Computer Science (2022) Vol. 214, pp. 351-358
Open Access | Times Cited: 9
Financial fraud detection based on the part-of-speech features of textual risk disclosures in financial reports
Hao Sun, Jianping Li, Xiaoqian Zhu
Procedia Computer Science (2023) Vol. 221, pp. 57-64
Open Access | Times Cited: 4
F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection
Guanghui Hu, Yang Liu, Qing He, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6335-6339
Closed Access | Times Cited: 1
Making differences work: Financial fraud detection based on multi-subject perceptions
Guowen Li, Shuai Wang, Yuyao Feng
Emerging Markets Review (2024) Vol. 60, pp. 101134-101134
Closed Access | Times Cited: 1
Financial Fraud Detection Using Value-at-Risk With Machine Learning in Skewed Data
Abdullahi Ubale Usman, Sunusi Bala Abdullahi, Liping Yu, et al.
IEEE Access (2024) Vol. 12, pp. 64285-64299
Open Access | Times Cited: 1

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