Zhe Yu

864 citations
27 papers · 493 indexed · h-index 14

Zhe Yu

26 papers receiving 474 citations

Peers

Zhe Yu
Comparison fields: 5 of 91
  • Software 120
  • Information Systems 195
  • Computational Mathematics 5
  • Health Informatics 9
  • Signal Processing 62
Replace Qing Huang with:
Qing Huang China
Xuhong Zhang China
Lov Kumar India
Yeong‐Seok Seo South Korea
Stacy Prowell United States
Laurent Simon France
Wei‐Han Lee Taiwan
Rubing Huang China
Luca Pulina Italy
Zhe Yu relative to Qing Huang China Qing Huang's profile →
Citations per field
00.5×
Qing Huang · 1×
Citations per year

Countries citing papers authored by Zhe Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Zhe Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhe Yu Line = papers co-authored together Zhe Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 202120
4 202120
5 202028
6 202026
7
How to Recognize Actionable Static Code Warnings (Using Linear SVMs)
20204
8 202012
9 202045
10 201912
11 201926
12
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review.
20191
13 201812
14 201841
15
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting.
20173
16 20177
17
How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews.
20166
18
Extreme High Efficiency Non-Inverting Buck-Boost Converter for Energy Storage Systems
201623
19 201616
20
High Efficiency Bidirectional DC-DC Converter with Wide Input and Output Voltage Ranges for Battery Systems
201519

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), Machine Learning and Data Classification (4 papers), Advanced Malware Detection Techniques (4 papers), Multilevel Inverters and Converters (3 papers), Power System Optimization and Stability (3 papers), Advanced DC-DC Converters (3 papers) and Software Engineering Techniques and Practices (3 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.

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2026