OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention
Gang Wang, Jingling Ma, Gang Chen
Decision Support Systems (2022) Vol. 167, pp. 113913-113913
Closed Access | Times Cited: 25

Showing 25 citing articles:

Deep learning for enhanced risk management: a novel approach to analyzing financial reports
Xiangting Shi, Yakang Zhang, Manning Yu, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2661-e2661
Open Access | Times Cited: 6

Identifying E-Commerce Fraud Through User Behavior Data: Observations and Insights
Ziyi Zhang, Hang Yin, Susie Xi Rao, et al.
Data Science and Engineering (2025)
Open Access | Times Cited: 1

Predicting financial distress using multimodal data: An attentive and regularized deep learning method
Wanliu Che, Zhao Wang, Cuiqing Jiang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103703-103703
Open Access | Times Cited: 12

Cybersecurity threats in FinTech: A systematic review
Danial Javaheri, Mahdi Fahmideh, Hassan Chizari, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122697-122697
Open Access | Times Cited: 21

Predicting financial distress using current reports: A novel deep learning method based on user-response-guided attention
Chenyang Wu, Cuiqing Jiang, Wang Zhao, et al.
Decision Support Systems (2024) Vol. 179, pp. 114176-114176
Closed Access | Times Cited: 6

LLM-infused bi-level semantic enhancement for corporate credit risk prediction
Sichong Lu, Yi Su, Xiaoming Zhang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104091-104091
Closed Access

Expanding and Interpreting Financial Statement Fraud Detection Using Supply Chain Knowledge Graphs
Shanshan Zhu, Ting Ma, Haotian Wu, et al.
Journal of theoretical and applied electronic commerce research (2025) Vol. 20, Iss. 1, pp. 26-26
Open Access

Generative adversarial synthetic neighbors-based unsupervised anomaly detection
Lan Chen, Hong Jiang, Lizhong Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Revisiting intelligent audit from a data science perspective
Haiquan Lu, Zhiang Wu
Neurocomputing (2025), pp. 129431-129431
Closed Access

FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning
Chuan Qin, Jun Chang, Wenting Tu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123522-123522
Closed Access | Times Cited: 1

Prototype-oriented hypergraph representation learning for anomaly detection in tabular data
Shu Li, Yi Lu, Shicheng Jiu, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103877-103877
Closed Access | Times Cited: 1

Exploring the Boundaries of Financial Statement Fraud Detection with Large Language Models
Efstathios Kirkos, Georgia Boskou, Evrikleia Chatzipetrou, et al.
SSRN Electronic Journal (2024)
Closed Access

WOA-XGBoost-based financial statement fraud detection
Xinfeng Dou, Rong Liu, Shengpeng Yin
(2024), pp. 152-152
Closed Access

Exploring the Boundaries of Financial Statement Fraud Detection with Large Language Models
Georgia Boskou, Evrikleia Chatzipetrou, Eleftherios Tiakas, et al.
(2024)
Closed Access

Automatic Generation of Critical Audit Matters (CAMs) Using LSTM–MacBert-Based Dual-Stream Transfer Learning
Xiaojia Wang, Ziqing Luo, Ying Chen
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6435-6452
Closed Access

Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks
Yi-Cheng Shih, Tian‐Shyr Dai, Ying-ping Chen, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125211-125211
Closed Access

Improved decision-making through life event prediction: A case study in the financial services industry
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny
Decision Support Systems (2024), pp. 114342-114342
Closed Access

Tax Underreporting Detection Using an Unsupervised Learning Approach
Vitali Herrera-Semenets, Lázaro Bustio-Martínez, Jorge Ángel González Ordiano, et al.
Lecture notes in computer science (2024), pp. 16-28
Closed Access

Attention Based Isolation Forest Integrated Ensemble Machine Learning Algorithm for Financial Fraud Detection
M. Dhasaratham, Zaid Ajzan Balassem, Jyothi Bobba, et al.
(2024), pp. 1-5
Closed Access

Optimized Feature Selection and Enhanced Recurrent Neural Network for Financial Fraud Detection
Rakesh Chandrashekar, Edeh Michael Onyema, Saurav Mallik, et al.
Research Square (Research Square) (2024)
Open Access

Can earnings conference calls tell more lies? A contrastive multimodal dialogue network for advanced financial statement fraud detection
Qi Lu, Wei Du, Shaochen Yang, et al.
Decision Support Systems (2024), pp. 114381-114381
Closed Access

Revisiting Intelligent Audit from a Data Science Perspective
Haiquan Lu, Zhiang Wu
(2024)
Closed Access

SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet, Manon Reusens, Philipp Borchert, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 13569-13583
Open Access | Times Cited: 1

INVESTIGATING FINANCIAL FRAUDS IN THE MODERN LANDSCAPE: A FORENSIC ACCOUNTING PERSPECTIVE IN THE COVID-19 ERA
Miloš Pavlović, Tadija Đukić, Čedomir Gligorić
Facta Universitatis Series Economics and Organization (2023), pp. 315-315
Open Access | Times Cited: 1

Page 1

Scroll to top