Kehan Gao
- Information Systems top 0.5%
- Software top 0.5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Taghi M. KhoshgoftaarNaeem SeliyaHuanjing WangAmri NapolitanoRandall WaldZhiwei XuJason Van HulseR. Szabó
- Topics
- Software Engineering Research (38 papers)Software Reliability and Analysis Research (36 papers)Imbalanced Data Classification Techniques (22 papers)
- Partner nations
- United States
In The Last Decade
Kehan Gao
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Information Systems 880
- Software 788
- Artificial Intelligence 403
- Computer Networks and Communications 275
- Electrical and Electronic Engineering 43
Countries citing papers authored by Kehan Gao
This map shows the geographic impact of Kehan Gao'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 Kehan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehan Gao more than expected).
Fields of papers citing papers by Kehan Gao
This network shows the impact of papers produced by Kehan Gao. 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 Kehan Gao. The network helps show where Kehan Gao may publish in the future.
Co-authorship network of co-authors of Kehan Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Kehan Gao. A scholar is included among the top collaborators of Kehan Gao 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 Kehan Gao. Kehan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | Combining Feature Selection and Ensemble Learning for Software Quality Estimation | 15 |
| 4 | Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation. | 1 |
| 5 | 3 | |
| 6 | Software Defect Prediction for High-Dimensional and Class-Imbalanced Data. | 17 |
| 7 | A Comparative Study of Different Strategies for Predicting Software Quality. | 2 |
| 8 | 35 | |
| 9 | 33 | |
| 10 | 9 | |
| 11 | 216 | |
| 12 | 14 | |
| 13 | An Evaluation of Sampling on Filter-Based Feature Selection Methods | 6 |
| 14 | Software Engineering with Computational Intelligence and Machine Learning A Novel Software Metric Selection Technique Using the Area Under ROC Curves. | 4 |
| 15 | 1 | |
| 16 | 51 | |
| 17 | 3 | |
| 18 | 28 | |
| 19 | 21 | |
| 20 | Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling. | 2 |
About Kehan Gao
Kehan Gao is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Research (38 papers), Software Reliability and Analysis Research (36 papers) and Imbalanced Data Classification Techniques (22 papers). The work is most often cited by research in Software (788 citations), Information Systems (880 citations) and Artificial Intelligence (403 citations). Kehan Gao has collaborated with scholars based in United States. Frequent co-authors include Taghi M. Khoshgoftaar, Naeem Seliya, Huanjing Wang, Amri Napolitano, Randall Wald, Zhiwei Xu, Jason Van Hulse, R. Szabó, Ye Chen and Hua Lin. Their work appears in journals such as Information Sciences, IEEE Transactions on Reliability and Information Systems Frontiers.
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.