Min Qi

3.0k total citations · 1 hit paper
30 papers, 2.1k citations indexed

About

Min Qi is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Min Qi has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Finance, 12 papers in Management Science and Operations Research and 12 papers in Economics and Econometrics. Recurrent topics in Min Qi's work include Stock Market Forecasting Methods (10 papers), Credit Risk and Financial Regulations (10 papers) and Banking stability, regulation, efficiency (7 papers). Min Qi is often cited by papers focused on Stock Market Forecasting Methods (10 papers), Credit Risk and Financial Regulations (10 papers) and Banking stability, regulation, efficiency (7 papers). Min Qi collaborates with scholars based in United States, China and Netherlands. Min Qi's co-authors include Yangru Wu, Xinlei Zhao, Ilan Alon, Gongbo Zhang, Dilip K. Patro, Xian Sun, G. S. Maddala, Sha Yang, Ĺıvia Markóczy and Xiaofei Zhang and has published in prestigious journals such as European Journal of Operational Research, Journal of Banking & Finance and Journal of Business and Economic Statistics.

In The Last Decade

Min Qi

30 papers receiving 1.9k citations

Hit Papers

Neural network forecasting for seasonal and trend time se... 2003 2026 2010 2018 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neural network forecasting for seasonal and trend time series
    2003 675 citations Min Qi et al. European Journal of Operational Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Qi United States 15 930 688 569 388 384 30 2.1k
Christopher Krauß Germany 9 1.3k 1.4× 779 1.1× 668 1.2× 314 0.8× 554 1.4× 14 2.0k
Werner Kristjanpoller Chile 21 825 0.9× 1.3k 2.0× 582 1.0× 171 0.4× 360 0.9× 82 2.1k
David Enke United States 22 1.4k 1.5× 705 1.0× 478 0.8× 437 1.1× 446 1.2× 70 2.1k
Xiaolei Sun China 32 442 0.5× 1.4k 2.0× 488 0.9× 153 0.4× 455 1.2× 120 2.8k
Kyoung-jae Kim South Korea 15 1.6k 1.7× 566 0.8× 380 0.7× 1.0k 2.7× 614 1.6× 47 2.7k
Mark T. Leung United States 15 910 1.0× 491 0.7× 273 0.5× 319 0.8× 366 1.0× 32 1.4k
Kaijian He China 25 769 0.8× 1.7k 2.5× 259 0.5× 164 0.4× 665 1.7× 78 2.6k
Steven C. Hillmer United States 18 537 0.6× 593 0.9× 317 0.6× 142 0.4× 116 0.3× 39 1.7k
Thomas Fischer Germany 7 1.1k 1.1× 506 0.7× 426 0.7× 287 0.7× 470 1.2× 16 1.6k
Saeed Heravi United Kingdom 25 486 0.5× 716 1.0× 192 0.3× 105 0.3× 116 0.3× 70 1.9k

Countries citing papers authored by Min Qi

Since Specialization
Citations

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

Fields of papers citing papers by Min Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Min Qi. A scholar is included among the top collaborators of Min Qi 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 Min Qi. Min Qi 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.
Qi, Min, Harald Scheule, & Yan Zhang. (2020). Positive Payment Shocks, Liquidity and Refinance Constraints and Default Risk of Home Equity Lines of Credit at End of Draw. The Journal of Real Estate Finance and Economics. 62(3). 423–454. 2 indexed citations
2.
Qi, Min, et al.. (2018). Lorentzian knowledge measures for atanassov’s intuitionistic fuzzy sets. Journal of Intelligent & Fuzzy Systems. 36(1). 473–486. 3 indexed citations
3.
Li, Phillip, Min Qi, Xiaofei Zhang, & Xinlei Zhao. (2016). Further Investigation of Parametric Loss Given Default Modeling. SSRN Electronic Journal. 1 indexed citations
4.
Li, Phillip, Min Qi, Xiao-Fei Zhang, & Xinlei Zhao. (2016). Further investigation of parametric loss given default modeling. The Journal of Credit Risk. 12(4). 11 indexed citations
5.
Qi, Min, Xiaofei Zhang, & Xinlei Zhao. (2014). Unobserved systematic risk factor and default prediction. Journal of Banking & Finance. 49. 216–227. 18 indexed citations
6.
Qi, Min & Xinlei Zhao. (2013). Debt structure, market value of firm and recovery rate. The Journal of Credit Risk. 9(1). 3–37. 6 indexed citations
7.
Patro, Dilip K., Min Qi, & Xian Sun. (2012). A simple indicator of systemic risk. Journal of Financial Stability. 9(1). 105–116. 103 indexed citations
8.
Qi, Min & Xinlei Zhao. (2011). Comparison of modeling methods for Loss Given Default. Journal of Banking & Finance. 35(11). 2842–2855. 104 indexed citations
9.
Qi, Min, Xiao-Fei Zhang, & Xinlei Zhao. (2009). Unobservable Systematic Risk Factor and Default Prediction. SSRN Electronic Journal. 4 indexed citations
10.
Aggarwal, Raj & Min Qi. (2009). Distribution of extreme changes in Asian currencies: tail index estimates and value-at-risk calculations. Applied Financial Economics. 19(13). 1083–1102. 4 indexed citations
11.
Qi, Min & Gongbo Zhang. (2008). Trend Time–Series Modeling and Forecasting With Neural Networks. IEEE Transactions on Neural Networks. 19(5). 808–816. 94 indexed citations
12.
Qi, Min, et al.. (2008). Loss given default of high loan-to-value residential mortgages. Journal of Banking & Finance. 33(5). 788–799. 133 indexed citations
13.
Yang, Sha, Ĺıvia Markóczy, & Min Qi. (2006). Unrealistic optimism in consumer credit card adoption. Journal of Economic Psychology. 28(2). 170–185. 46 indexed citations
14.
Qi, Min & Yangru Wu. (2005). Technical Trading-Rule Profitability, Data Snooping, and Reality Check: Evidence from the Foreign Exchange Market. Project Muse (Johns Hopkins University). 4 indexed citations
15.
Qi, Min & Sha Yang. (2003). Forecasting consumer credit card adoption: what can we learn about the utility function?. International Journal of Forecasting. 19(1). 71–85. 19 indexed citations
16.
Aggarwal, Raj & Min Qi. (2003). The behavior of large changes in Asian exchange rates. 38. 215–222. 2 indexed citations
17.
Qi, Min, et al.. (2001). An investigation of model selection criteria for neural network time series forecasting. European Journal of Operational Research. 132(3). 666–680. 190 indexed citations
18.
Qi, Min. (2001). Predicting US recessions with leading indicators via neural network models. International Journal of Forecasting. 17(3). 383–401. 71 indexed citations
19.
Qi, Min. (1999). Nonlinear Predictability of Stock Returns Using Financial and Economic Variables. Journal of Business and Economic Statistics. 17(4). 419–429. 112 indexed citations
20.
Qi, Min & G. S. Maddala. (1999). Economic factors and the stock market: a new perspective. Journal of Forecasting. 18(3). 151–166. 62 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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