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Jinsheng Xu
Data Mining
Machine Learning
Modeling And Simulation
Big Data Analytics
Applied Network Security
About
Jinsheng Xu, Ph.D., is an Associate Professor of Computer Science in the College of Engineering at North Carolina A&T State University. He earned his Ph.D. in Computer Science from Michigan State University, and his research interests include data mining, machine learning, modeling and simulation, cybersecurity, big data analytics, parallel computing, collaborative learning, and visualization. Dr. Xu teaches courses such as applied network security, advanced algorithms, and data structures, and has published numerous conference papers and journal articles in his areas of expertise.
Research Performance Summary
1998-2025
Active Research Span
First Recorded Paper
Parallel VHDL Simulation Engine
Year:
1998
Citations:
5
Venue:
Department of Defense High Performance Computing Modernization Program, UGC98
Latest Recorded Paper
Reminder and Dispenser System
Year:
2025
Citations:
0
Venue:
Advances and Trends in Artificial Intelligence. Theory and Applications
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Yuan
Zhang
Kim
Research Impact by Period
Papers
4
Citations
0
Avg. Citations / Paper
0
H-Index
0
Papers
17
Citations
137
Avg. Citations / Paper
8.1
H-Index
7
Papers
23
Citations
180
Avg. Citations / Paper
7.8
H-Index
9
Papers
9
Citations
109
Avg. Citations / Paper
12.1
H-Index
6
Papers
28
Citations
202
Avg. Citations / Paper
7.2
H-Index
8
Papers
3
Citations
29
Avg. Citations / Paper
9.7
H-Index
2
Papers
1
Citations
5
Avg. Citations / Paper
5
H-Index
1
Contact and Professional Links
Detected Research Keywords
Information Assurance Education
Interactive Visualization Tool
Predicting Performance Synchronous
Performance Synchronous Discrete
Synchronous Discrete Event
Discrete Event Simulation
Arp Spoofing Attack
Traffic Images Convolutional
Images Convolutional Neural
Collaborative Tagging Systems