Baofeng Shi

1.3k total citations
45 papers, 924 citations indexed

About

Baofeng Shi is a scholar working on Economics and Econometrics, Accounting and Artificial Intelligence. According to data from OpenAlex, Baofeng Shi has authored 45 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 20 papers in Accounting and 10 papers in Artificial Intelligence. Recurrent topics in Baofeng Shi's work include Financial Distress and Bankruptcy Prediction (20 papers), Imbalanced Data Classification Techniques (10 papers) and Energy, Environment, Economic Growth (7 papers). Baofeng Shi is often cited by papers focused on Financial Distress and Bankruptcy Prediction (20 papers), Imbalanced Data Classification Techniques (10 papers) and Energy, Environment, Economic Growth (7 papers). Baofeng Shi collaborates with scholars based in China, United Kingdom and Nepal. Baofeng Shi's co-authors include Yizhe Dong, Mohammad Zoynul Abedin, Chunguang Bai, Bi Wu, Hufeng Yang, Joseph Sarkis, Feng Liu, Guotai Chi, Felix T.S. Chan and Yan Shi and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Communications Magazine.

In The Last Decade

Baofeng Shi

44 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baofeng Shi China 16 302 240 146 135 83 45 924
Lihua Huang China 17 107 0.4× 234 1.0× 477 3.3× 154 1.1× 48 0.6× 82 1.9k
Qurat Ul Ain Pakistan 17 133 0.4× 248 1.0× 76 0.5× 50 0.4× 15 0.2× 51 1.0k
Karel Janda Czechia 21 871 2.9× 134 0.6× 17 0.1× 134 1.0× 69 0.8× 119 1.5k
Yan Yu United States 15 253 0.8× 254 1.1× 264 1.8× 270 2.0× 13 0.2× 51 1.3k
Geraldo da Silva e Souza Brazil 16 462 1.5× 146 0.6× 19 0.1× 227 1.7× 28 0.3× 103 1.2k
Dennis J. Sweeney United States 16 130 0.4× 93 0.4× 49 0.3× 70 0.5× 200 2.4× 47 1.1k
Jeffrey E. Jarrett United States 16 180 0.6× 131 0.5× 25 0.2× 219 1.6× 55 0.7× 94 896
George Baourakis Greece 16 157 0.5× 90 0.4× 47 0.3× 53 0.4× 31 0.4× 51 837
Dedi Rosadi Indonesia 13 137 0.5× 77 0.3× 96 0.7× 88 0.7× 6 0.1× 134 777

Countries citing papers authored by Baofeng Shi

Since Specialization
Citations

This map shows the geographic impact of Baofeng Shi'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 Baofeng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baofeng Shi more than expected).

Fields of papers citing papers by Baofeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baofeng Shi. 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 Baofeng Shi. The network helps show where Baofeng Shi may publish in the future.

Co-authorship network of co-authors of Baofeng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Baofeng Shi. A scholar is included among the top collaborators of Baofeng Shi 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 Baofeng Shi. Baofeng Shi 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.
Dong, Yizhe, et al.. (2025). Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts. European Journal of Operational Research. 326(3). 691–706. 3 indexed citations
2.
Zhao, Wei, et al.. (2025). Evaluation system for the governance capability of national oil companies: A perspective on litigation and business punishment status. International Review of Financial Analysis. 109. 104743–104743.
3.
Shi, Baofeng, Chunguang Bai, & Yizhe Dong. (2024). A big data analytics method for assessing creditworthiness of SMEs: fuzzy equifinality relationships analysis. Annals of Operations Research. 350(2). 879–909. 5 indexed citations
4.
Abedin, Mohammad Zoynul, et al.. (2024). Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era. International Journal of Finance & Economics. 30(3). 2163–2185. 5 indexed citations
5.
Shi, Baofeng, et al.. (2024). A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies. Expert Systems with Applications. 255. 124861–124861. 6 indexed citations
6.
Abedin, Mohammad Zoynul, et al.. (2024). Farmers' credit risk evaluation with an explainable hybrid ensemble approach: A closer look in microfinance. Pacific-Basin Finance Journal. 89. 102612–102612. 3 indexed citations
7.
Wang, Hao, et al.. (2023). Dynamic dependence of futures basis between the Chinese and international grains markets. Economic Modelling. 130. 106584–106584. 4 indexed citations
8.
Shi, Baofeng, et al.. (2023). Loss given default or default status: Which is better to determine farmers’ credit ratings?. Finance research letters. 53. 103674–103674. 4 indexed citations
9.
Zhang, Shaobin, Baofeng Shi, & Hao Ji. (2023). How to decouple income growth from household carbon emissions: A perspective based on urban-rural differences in China. Energy Economics. 125. 106816–106816. 37 indexed citations
10.
Wang, Xiaoling, Yu Chen, Yizhe Dong, Tianyue Zhang, & Baofeng Shi. (2023). How Does Environmental Regulation Impact Low-carbon Transition? Evidence From China’s Iron and Steel Industry. SSRN Electronic Journal. 1 indexed citations
11.
Bai, Chunguang, et al.. (2023). A socio-technology perspective for building a Chinese regional green economy. Annals of Operations Research. 347(1). 289–332. 5 indexed citations
12.
Han, Linna, et al.. (2023). Challenges to environmental governance arising from the Russo–Ukrainian conflict: Evidence from carbon emissions. Journal of Environmental Management. 349. 119481–119481. 7 indexed citations
13.
Wang, Xiaoling, Yu Chen, Yizhe Dong, Tianyue Zhang, & Baofeng Shi. (2023). How does environmental regulation impact low-carbon transition? Evidence from China’s iron and steel industry. Annals of Operations Research. 345(2-3). 637–663. 8 indexed citations
14.
Shi, Baofeng, et al.. (2022). A novel framework of credit risk feature selection for SMEs during industry 4.0. Annals of Operations Research. 350(2). 425–452. 33 indexed citations
15.
Shi, Baofeng, et al.. (2022). Evaluating farmers’ credit risk: A decision combination approach based on credit feature. International Journal of Financial Engineering. 9(3). 2 indexed citations
16.
Shi, Baofeng, et al.. (2021). Work Resumption Rate and Migrant Workers' Income During the COVID-19 Pandemic. Frontiers in Public Health. 9. 678934–678934. 10 indexed citations
17.
Chen, Jiandong, et al.. (2019). Evaluation of the Rural Minimum Living Standard Line in China. Emerging Markets Finance and Trade. 56(9). 1971–1988. 3 indexed citations
18.
Shi, Baofeng, et al.. (2018). A Novel Approach for Reducing Attributes and Its Application to Small Enterprise Financing Ability Evaluation. Complexity. 2018(1). 49 indexed citations
19.
Shi, Baofeng, et al.. (2016). An Optimal Decision Assessment Model Based on the Acceptable Maximum LGD of Commercial Banks and Its Application. Scientific Programming. 2016. 1–9. 3 indexed citations
20.
Wang, Hui, Jing Wang, & Baofeng Shi. (2015). Model and application of green industry evaluation based on fuzzy control. Journal of Intelligent & Fuzzy Systems. 29(6). 2489–2494. 13 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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