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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:

A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction
Shixuan Li, Wenxuan Shi, Jiancheng Wang, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102673-102673
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

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: 16
Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Alireza Ghorbanali, Mohammad Karim Sohrabi, Farzin Yaghmaee
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102929-102929
Closed Access | Times Cited: 69
An explainable artificial intelligence approach for financial distress prediction
Zijiao Zhang, Chong Wu, Shiyou Qu, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102988-102988
Closed Access | Times Cited: 56
Speech emotion recognition and text sentiment analysis for financial distress prediction
Petr Hájek, Michal Munk
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21463-21477
Open Access | Times Cited: 27
The role of feature importance in predicting corporate financial distress in pre and post COVID periods: Evidence from China
Shusheng Ding, Tianxiang Cui, Anthony Graham Bellotti, et al.
International Review of Financial Analysis (2023) Vol. 90, pp. 102851-102851
Closed Access | Times Cited: 27
Mining semantic features in patent text for financial distress prediction
Cuiqing Jiang, Yiru Zhou, Bo Chen
Technological Forecasting and Social Change (2023) Vol. 190, pp. 122450-122450
Closed Access | Times Cited: 23
The correlation between green finance and carbon emissions based on improved neural network
Chenghao Sun
Neural Computing and Applications (2021) Vol. 34, Iss. 15, pp. 12399-12413
Closed Access | Times Cited: 55
A semantic and syntactic enhanced neural model for financial sentiment analysis
Chunli Xiang, Junchi Zhang, Fei Li, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102943-102943
Closed Access | Times Cited: 34
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 33
A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data
Lean Yu, Mengxin Li, Xiaojun Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123745-123745
Closed Access | Times Cited: 8
Corporate financial distress prediction using the risk-related information content of annual reports
Petr Hájek, Michal Munk
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103820-103820
Closed Access | Times Cited: 7
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
Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach
Jiaming Liu, Chengzhang Li, Peng Ouyang, et al.
Journal of Forecasting (2022) Vol. 42, Iss. 5, pp. 1112-1137
Closed Access | Times Cited: 27
Credit risk assessment of small and medium-sized enterprises in supply chain finance based on SVM and BP neural network
Jingfeng Zhao, Bo Li
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12467-12478
Closed Access | Times Cited: 24
Data fusion with factored quantization for stock trend prediction using neural networks
Kinjal Chaudhari, Ankit Thakkar
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103293-103293
Closed Access | Times Cited: 15
Multi-Model Fusion Framework Using Deep Learning for Visual-Textual Sentiment Classification
Israa Khalaf Salman Al-Tameemi, Mohammad‐Reza Feizi‐Derakhshi, Saeed Pashazadeh, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 2, pp. 2145-2177
Open Access | Times Cited: 14
Diagnosis with incomplete multi-view data: A variational deep financial distress prediction method
Yating Huang, Zhao Wang, Cuiqing Jiang
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123269-123269
Closed Access | Times Cited: 5
Local government debt risk assessment: A deep learning-based perspective
Yuchen Guo, Yao Li, Yilei Qian
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102948-102948
Closed Access | Times Cited: 19
Using Opinionated-Objective Terms to Improve Lexicon-Based Sentiment Analysis
Bayode Ogunleye, Teresa Brunsdon, Tonderai Maswera, et al.
Lecture notes in networks and systems (2024), pp. 1-23
Closed Access | Times Cited: 4
Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis
Mansi Jain, Harmeet Kaur, Bhavna Gupta, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
Dual-enhanced graph convolutional networks for aspect-based financial sentiment analysis
Rutao Yao
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Stock market forecasting based on machine learning: The role of investor sentiment
Tingting Ren, Shaofang Li
Physica A Statistical Mechanics and its Applications (2025), pp. 130533-130533
Closed Access
A deep learning-based sentiment flow analysis model for predicting financial risk of listed companies
Feifei Tao, Wenya Wang, R.M.T. Lu
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110522-110522
Closed Access
A survey on deep learning for financial risk prediction
Kuashuai Peng, Guofeng Yan
Quantitative Finance and Economics (2021) Vol. 5, Iss. 4, pp. 716-737
Open Access | Times Cited: 23
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