Cuiqing Jiang

2.0k total citations
52 papers, 1.4k citations indexed

About

Cuiqing Jiang is a scholar working on Artificial Intelligence, Accounting and Information Systems. According to data from OpenAlex, Cuiqing Jiang has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Accounting and 13 papers in Information Systems. Recurrent topics in Cuiqing Jiang's work include Financial Distress and Bankruptcy Prediction (22 papers), Imbalanced Data Classification Techniques (12 papers) and Digital Marketing and Social Media (10 papers). Cuiqing Jiang is often cited by papers focused on Financial Distress and Bankruptcy Prediction (22 papers), Imbalanced Data Classification Techniques (12 papers) and Digital Marketing and Social Media (10 papers). Cuiqing Jiang collaborates with scholars based in China, United States and United Kingdom. Cuiqing Jiang's co-authors include Zhao Wang, Yong Ding, Huimin Zhao, Yao Liu, Rui Duan, Jianfei Wang, Rao Muhammad Rashid, Hemant Jain, Shixi Liu and Zhangxi Lin and has published in prestigious journals such as European Journal of Operational Research, MIS Quarterly and Journal of Business Research.

In The Last Decade

Cuiqing Jiang

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cuiqing Jiang China 19 480 446 336 259 219 52 1.4k
Krishnamurty Muralidhar United States 19 557 1.2× 271 0.6× 288 0.9× 517 2.0× 190 0.9× 56 1.8k
Jan Muntermann Germany 18 335 0.7× 545 1.2× 105 0.3× 281 1.1× 397 1.8× 71 1.9k
Atish P. Sinha United States 21 655 1.4× 442 1.0× 123 0.4× 154 0.6× 430 2.0× 51 1.6k
Jerome Yen Hong Kong 22 368 0.8× 172 0.4× 300 0.9× 80 0.3× 193 0.9× 89 1.4k
Zhangxi Lin United States 20 248 0.5× 695 1.6× 140 0.4× 430 1.7× 331 1.5× 64 1.6k
Qing Cao United States 23 648 1.4× 820 1.8× 131 0.4× 393 1.5× 294 1.3× 60 2.6k
Soumitra Dutta France 21 318 0.7× 259 0.6× 112 0.3× 91 0.4× 202 0.9× 64 1.5k
Lynn Wu United States 20 138 0.3× 489 1.1× 176 0.5× 232 0.9× 144 0.7× 51 2.1k
Babis Theodoulidis United Kingdom 15 325 0.7× 259 0.6× 73 0.2× 339 1.3× 215 1.0× 81 1.3k

Countries citing papers authored by Cuiqing Jiang

Since Specialization
Citations

This map shows the geographic impact of Cuiqing Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cuiqing Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiqing Jiang more than expected).

Fields of papers citing papers by Cuiqing Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuiqing Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cuiqing Jiang. The network helps show where Cuiqing Jiang may publish in the future.

Co-authorship network of co-authors of Cuiqing Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiqing Jiang. A scholar is included among the top collaborators of Cuiqing Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cuiqing Jiang. Cuiqing Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Jianfei, Lina Zhou, Cuiqing Jiang, & Zhao Wang. (2025). Modeling and Interpreting the Propagation Influence of Neighbor Information in Time-Variant Networks with Exemplification by Financial Risk Prediction. Journal of Management Information Systems. 42(1). 105–142. 1 indexed citations
2.
Wang, Lu, et al.. (2025). Incorporating metadata: A novel variational neural topic model for bond default prediction. Information Sciences. 715. 122219–122219.
3.
Jiang, Cuiqing, et al.. (2025). Model Reconstruction-Based Optimal Adaptive Prescribed Time Control for Multi-Stage Precision Robotic Arms: Inequality Constraints, Uncertainties, Disturbances. IEEE Transactions on Automation Science and Engineering. 22. 17147–17159.
4.
Jiang, Cuiqing, et al.. (2025). Full transparency or restricted visibility? Mechanisms of blockchain enabled data sharing in supply chain. International Journal of Production Research. 64(4). 1227–1248.
5.
Wang, Zhao, et al.. (2024). Forecasting time to risk based on multi-party data: An explainable privacy-preserving decentralized survival analysis method. Information Processing & Management. 62(1). 103881–103881. 2 indexed citations
6.
Wang, Zhao, et al.. (2024). Diagnosis with incomplete multi-view data: A variational deep financial distress prediction method. Technological Forecasting and Social Change. 201. 123269–123269. 7 indexed citations
7.
Jiang, Cuiqing, et al.. (2024). Corporate bond default prediction using bilateral topic information of credit rating reports. International Journal of Financial Engineering. 11(3). 1 indexed citations
8.
Wang, Jianfei, Cuiqing Jiang, Lina Zhou, & Zhao Wang. (2024). Assessing financial distress of SMEs through event propagation: An adaptive interpretable graph contrastive learning model. Decision Support Systems. 180. 114195–114195. 9 indexed citations
9.
Wu, Chenyang, et al.. (2024). Predicting financial distress using current reports: A novel deep learning method based on user-response-guided attention. Decision Support Systems. 179. 114176–114176. 7 indexed citations
10.
Wang, Zhao, et al.. (2024). Predicting financial distress using multimodal data: An attentive and regularized deep learning method. Information Processing & Management. 61(4). 103703–103703. 22 indexed citations
11.
Jiang, Cuiqing, et al.. (2023). The value of official website information in the credit risk evaluation of SMEs. Journal of Business Research. 169. 114290–114290. 7 indexed citations
12.
Liu, Yanqing, et al.. (2023). Increasing the Accuracy of Soil Nutrient Prediction by Improving Genetic Algorithm Backpropagation Neural Networks. Symmetry. 15(1). 151–151. 17 indexed citations
13.
Jiang, Cuiqing, et al.. (2023). Mining semantic features in patent text for financial distress prediction. Technological Forecasting and Social Change. 190. 122450–122450. 24 indexed citations
14.
Jiang, Cuiqing, et al.. (2021). Investigating the Effects of Dimension-Specific Sentiments on Product Sales: The Perspective of Sentiment Preferences. Journal of the Association for Information Systems. 22(2). 459–489. 14 indexed citations
15.
Jiang, Cuiqing, et al.. (2020). Choosing Portfolios Based on Bipartite Graph of P2P Lending Networks. Shuju fenxi yu zhishi faxian. 3(12). 76–83. 1 indexed citations
16.
Jiang, Cuiqing, et al.. (2019). Sales Prediction by Integrating the Heat and Sentiments of Product Dimensions. Sustainability. 11(3). 913–913. 6 indexed citations
17.
Jiang, Cuiqing, Zhao Wang, & Huimin Zhao. (2019). A prediction-driven mixture cure model and its application in credit scoring. European Journal of Operational Research. 277(1). 20–31. 50 indexed citations
18.
Jiang, Cuiqing, et al.. (2018). Identifying Potential Customers Based on User-Generated Contents. Shuju fenxi yu zhishi faxian. 2(3). 1–8. 1 indexed citations
19.
Duan, Rui, et al.. (2018). Integrating geographical and temporal influences into location recommendation: a method based on check-ins. Information Technology and Management. 20(2). 73–90. 6 indexed citations
20.
Liu, Yao, et al.. (2017). Identifying helpful quality-related reviews from social media based on attractive quality theory. Total Quality Management & Business Excellence. 30(15-16). 1596–1615. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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