Zhe Yu
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Tim MenziesH. KapelsNicholas A. KraftDi ShiKevin LimYingmeng XiangLaurie WilliamsZhiwei Wang
- Topics
- Software Engineering Research (13 papers)Software Reliability and Analysis Research (9 papers)Machine Learning and Data Classification (4 papers)
- Journals
- Nature CommunicationsJournal of the American Statistical AssociationExpert Systems with Applications
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Zhe Yu
26 papers receiving 474 citations
Peers
Comparison fields: 5 of 91
- Information Systems 195
- Artificial Intelligence 126
- Software 120
- Electrical and Electronic Engineering 117
- Signal Processing 62
Countries citing papers authored by Zhe Yu
This map shows the geographic impact of Zhe Yu'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 Zhe Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe Yu more than expected).
Fields of papers citing papers by Zhe Yu
This network shows the impact of papers produced by Zhe Yu. 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 Zhe Yu. The network helps show where Zhe Yu may publish in the future.
Co-authorship network of co-authors of Zhe Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Yu. A scholar is included among the top collaborators of Zhe Yu 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 Zhe Yu. Zhe Yu 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 | 5 | |
| 3 | 20 | |
| 4 | 20 | |
| 5 | 28 | |
| 6 | 26 | |
| 7 | How to Recognize Actionable Static Code Warnings (Using Linear SVMs) | 4 |
| 8 | 12 | |
| 9 | 45 | |
| 10 | 12 | |
| 11 | 26 | |
| 12 | Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review. | 1 |
| 13 | 12 | |
| 14 | 41 | |
| 15 | Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting. | 3 |
| 16 | 7 | |
| 17 | How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews. | 6 |
| 18 | Extreme High Efficiency Non-Inverting Buck-Boost Converter for Energy Storage Systems | 23 |
| 19 | 16 | |
| 20 | High Efficiency Bidirectional DC-DC Converter with Wide Input and Output Voltage Ranges for Battery Systems | 19 |
About Zhe Yu
Zhe Yu is a scholar working on Software, Information Systems and Signal Processing, having authored 27 papers that have together received 493 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Software Reliability and Analysis Research (9 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Software (120 citations), Information Systems (195 citations) and Computational Mathematics (5 citations). Zhe Yu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tim Menzies, H. Kapels, Nicholas A. Kraft, Di Shi, Kevin Lim, Yingmeng Xiang, Laurie Williams, Zhiwei Wang, Zhehan Yi and Junjie Wang. Their work appears in journals such as Nature Communications, Journal of the American Statistical Association and Expert Systems with Applications.
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.