Jin Xiao

2.9k total citations
83 papers, 2.0k citations indexed

About

Jin Xiao is a scholar working on Artificial Intelligence, Marketing and Management Science and Operations Research. According to data from OpenAlex, Jin Xiao has authored 83 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 15 papers in Marketing and 14 papers in Management Science and Operations Research. Recurrent topics in Jin Xiao's work include Imbalanced Data Classification Techniques (24 papers), Statistical and Computational Modeling (17 papers) and Financial Distress and Bankruptcy Prediction (13 papers). Jin Xiao is often cited by papers focused on Imbalanced Data Classification Techniques (24 papers), Statistical and Computational Modeling (17 papers) and Financial Distress and Bankruptcy Prediction (13 papers). Jin Xiao collaborates with scholars based in China, Germany and Hong Kong. Jin Xiao's co-authors include Ling Xie, Xiaoyi Jiang, Shouyang Wang, Changzheng He, Yi Xiao, Yi Hu, Geer Teng, Bing Zhu, Guohao Li and Jing Huang and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Journal of Business Research.

In The Last Decade

Jin Xiao

80 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Xiao China 25 646 358 278 272 225 83 2.0k
Shuai Zhang China 32 749 1.2× 178 0.5× 812 2.9× 485 1.8× 314 1.4× 172 3.7k
William Remus United States 22 467 0.7× 277 0.8× 267 1.0× 922 3.4× 93 0.4× 65 2.2k
Fred Collopy United States 19 295 0.5× 246 0.7× 208 0.7× 732 2.7× 72 0.3× 46 1.9k
Chih‐Hung Wu Taiwan 25 566 0.9× 165 0.5× 242 0.9× 614 2.3× 163 0.7× 97 2.6k
Marcus O’Connor Australia 26 440 0.7× 482 1.3× 317 1.1× 1.8k 6.5× 100 0.4× 56 2.8k
Changyong Liang China 31 744 1.2× 102 0.3× 103 0.4× 900 3.3× 44 0.2× 144 3.0k
Ching‐Ter Chang Taiwan 33 427 0.7× 456 1.3× 396 1.4× 1.2k 4.5× 41 0.2× 127 4.4k
Emmanuel Sirimal Silva United Kingdom 24 434 0.7× 333 0.9× 142 0.5× 498 1.8× 44 0.2× 67 2.4k
Malcolm J. Beynon United Kingdom 30 512 0.8× 399 1.1× 44 0.2× 789 2.9× 240 1.1× 100 3.2k
Murtaza Haider Canada 14 431 0.7× 281 0.8× 69 0.2× 541 2.0× 47 0.2× 36 3.0k

Countries citing papers authored by Jin Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Xiao. A scholar is included among the top collaborators of Jin Xiao 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 Jin Xiao. Jin Xiao 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.
Xiao, Jin, Sihan Li, Yuhang Tian, et al.. (2025). Example dependent cost sensitive learning based selective deep ensemble model for customer credit scoring. Scientific Reports. 15(1). 6000–6000. 2 indexed citations
2.
Xiao, Jin, et al.. (2024). Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model. Journal of Business Research. 186. 114914–114914. 1 indexed citations
3.
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5.
Xiao, Jin, et al.. (2023). A novel federated learning approach with knowledge transfer for credit scoring. Decision Support Systems. 177. 114084–114084. 24 indexed citations
6.
Wang, Yadong, et al.. (2023). Balanced incremental deep reinforcement learning based on variational autoencoder data augmentation for customer credit scoring. Engineering Applications of Artificial Intelligence. 122. 106056–106056. 8 indexed citations
7.
Xiao, Jin, et al.. (2023). Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models. INFORMS journal on computing. 35(5). 986–1001. 7 indexed citations
8.
Xiao, Jin, et al.. (2023). A novel deep ensemble model for imbalanced credit scoring in internet finance. International Journal of Forecasting. 40(1). 348–372. 16 indexed citations
9.
Zhu, Bing, Qian Cheng, Seppe vanden Broucke, Jin Xiao, & Yuanyuan Li. (2023). A bagging-based selective ensemble model for churn prediction on imbalanced data. Expert Systems with Applications. 227. 120223–120223. 11 indexed citations
10.
Li, Guohao, Miaomiao Niu, Jin Xiao, Jiaqian Wu, & Jinkai Li. (2023). The rebound effect of decarbonization in China’s power sector under the carbon trading scheme. Energy Policy. 177. 113543–113543. 13 indexed citations
11.
Yan, Yang, et al.. (2023). Complex-Valued GMDH-Based Data Characteristic-Driven Adaptive Decision Support System for Customer Classification. IEEE Transactions on Systems Man and Cybernetics Systems. 54(1). 403–415. 4 indexed citations
12.
Xiao, Jin & Runhua Wang. (2023). A Triplet Deep Neural Networks Model for Customer Credit Scoring. 511–514. 1 indexed citations
13.
Xu, Lixiang, Xiaofeng Wang, Lu Bai, et al.. (2020). Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognition. 106. 107373–107373. 24 indexed citations
14.
Xu, Lixiang, Lu Bai, Jin Xiao, et al.. (2020). Multiple graph kernel learning based on GMDH-type neural network. Information Fusion. 66. 100–110. 23 indexed citations
15.
Xiao, Jin, et al.. (2019). A Hybrid Classification Framework Based on Clustering. IEEE Transactions on Industrial Informatics. 16(4). 2177–2188. 23 indexed citations
16.
Teng, Geer, Jin Xiao, Yue He, Tingting Zheng, & Changzheng He. (2017). Use of group method of data handling for transport energy demand modeling. Energy Science & Engineering. 5(5). 302–317. 33 indexed citations
17.
Xiao, Yi, Jin Xiao, John Liu, & Shouyang Wang. (2014). A multiscale modeling approach incorporating ARIMA and anns for financial market volatility forecasting. Journal of Systems Science and Complexity. 27(1). 225–236. 24 indexed citations
18.
Xiao, Jin, Yuan Wang, & Shouyang Wang. (2013). A Dynamic Transfer Ensemble Model for Customer Churn Prediction. 115–119. 3 indexed citations
19.
Xiao, Jin, Changzheng He, & Xiaoyi Jiang. (2009). Structure identification of Bayesian classifiers based on GMDH. Knowledge-Based Systems. 22(6). 461–470. 33 indexed citations
20.
Liu, Zeyun & Jin Xiao. (2006). The Accumulation of Human Capital Over Time and its Impact on Salary Growth in China. Education Economics. 14(2). 155–180. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shuai Zhang Breakdown of academic impact, for papers by William Remus Breakdown of academic impact, for papers by Fred Collopy Breakdown of academic impact, for papers by Chih‐Hung Wu Breakdown of academic impact, for papers by Marcus O’Connor Breakdown of academic impact, for papers by Changyong Liang Breakdown of academic impact, for papers by Ching‐Ter Chang Breakdown of academic impact, for papers by Emmanuel Sirimal Silva Breakdown of academic impact, for papers by Malcolm J. Beynon Breakdown of academic impact, for papers by Murtaza Haider
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