Zaiyong Tang

922 total citations
17 papers, 648 citations indexed

About

Zaiyong Tang is a scholar working on Strategy and Management, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Zaiyong Tang has authored 17 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Strategy and Management, 6 papers in Management Science and Operations Research and 5 papers in Artificial Intelligence. Recurrent topics in Zaiyong Tang's work include Online Learning and Analytics (3 papers), Digital Platforms and Economics (3 papers) and Neural Networks and Applications (3 papers). Zaiyong Tang is often cited by papers focused on Online Learning and Analytics (3 papers), Digital Platforms and Economics (3 papers) and Neural Networks and Applications (3 papers). Zaiyong Tang collaborates with scholars based in United States. Zaiyong Tang's co-authors include Paul A. Fishwick, Gary J. Kœhler, Kallol Bagchi, Bruce Walters, Anurag Jain and Lisa Y. Chen and has published in prestigious journals such as Neural Networks, Journal of the Association for Information Systems and Information Systems Management.

In The Last Decade

Zaiyong Tang

15 papers receiving 578 citations

Peers

Zaiyong Tang
C. Narendra Babu India
H. Saidane United States
Sasan Barak Iran
Ratnadip Adhikari India
Devon K. Barrow United Kingdom
Neamat El Gayar Egypt
Abderrazak Sebaa Algeria
Mehdi Khashei Iran
Ming Xie China
Achilleas Zapranis Greece
C. Narendra Babu India
Zaiyong Tang
Citations per year, relative to Zaiyong Tang Zaiyong Tang (= 1×) peers C. Narendra Babu

Countries citing papers authored by Zaiyong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zaiyong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiyong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiyong Tang. A scholar is included among the top collaborators of Zaiyong Tang 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 Zaiyong Tang. Zaiyong Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Tang, Zaiyong, et al.. (2025). Enhancing Student Retention with Machine Learning: A Data-Driven Approach to Predicting College Student Persistence. Journal of College Student Retention Research Theory & Practice.
2.
Tang, Zaiyong, et al.. (2024). A Comparative Study of Machine Learning Techniques for College Student Success Prediction. Journal of Higher Education Theory and Practice. 24(1). 3 indexed citations
3.
Tang, Zaiyong, Lisa Y. Chen, & Anurag Jain. (2023). Exploring Individual Feature Importance in Student Persistence Prediction. Journal of Higher Education Theory and Practice. 23(6). 1 indexed citations
4.
Tang, Zaiyong, et al.. (2014). Agent-based supply chain management modeling and simulation. 1255–1259. 2 indexed citations
5.
Tang, Zaiyong, et al.. (2014). Ensemble methods in bank direct marketing. 1–5. 15 indexed citations
6.
Tang, Zaiyong, et al.. (2012). The Demise of Novell Netware—Did Perceptions Related to Network Administration Play a Role?. Information Systems Management. 29(1). 26–39. 3 indexed citations
7.
Tang, Zaiyong. (2011). Improving Direct Marketing Profitability with Neural Networks. 29(5). 13–18. 7 indexed citations
8.
Tang, Zaiyong & Kallol Bagchi. (2010). Globally Convergent Particle Swarm Optimization via Branch-and-Bound. Computer and Information Science. 3(4). 7 indexed citations
9.
Tang, Zaiyong, et al.. (2009). Explorative Assessment of Internet Hacking: An Agent-Based Modeling Approach. Journal of Information Privacy and Security. 5(2). 42–64. 1 indexed citations
10.
Walters, Bruce & Zaiyong Tang. (2006). IT-Enabled Strategic Management: Increasing Returns for the Organization. 2 indexed citations
11.
Bagchi, Kallol & Zaiyong Tang. (2004). NETWORK SIZE, DETERRENCE EFFECTS, AND INTERNET ATTACK INCIDENT GROWTH. Journal of the Association for Information Systems. 6(3). 9. 7 indexed citations
12.
Bagchi, Kallol, et al.. (2004). Global IT Expenditure Growth: An Empirical Investigation Across Nations. Journal of the Association for Information Systems. 91. 2 indexed citations
13.
Bagchi, Kallol, et al.. (2004). Global IT Expenditure Growth: An Empirical Investigation Across Some Developing Nations. The Electronic Journal of Information Systems in Developing Countries. 19(1). 1–9. 3 indexed citations
14.
Tang, Zaiyong, et al.. (2003). Creating an Intelligence Infrastructure for Intelligent Organizations.. Journal of the Association for Information Systems. 360. 1 indexed citations
15.
Tang, Zaiyong & Gary J. Kœhler. (1994). Deterministic global optimal FNN training algorithms. Neural Networks. 7(2). 301–311. 22 indexed citations
16.
Tang, Zaiyong & Paul A. Fishwick. (1993). Feedforward Neural Nets as Models for Time Series Forecasting. INFORMS Journal on Computing. 5(4). 374–385. 285 indexed citations
17.
Tang, Zaiyong, et al.. (1991). Time series forecasting using neural networks vs. Box- Jenkins methodology. SIMULATION. 57(5). 303–310. 287 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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2026