Lu Zhang
- Software top 0.02%
- Software Testing and Debugging Techniques 101
- Software Reliability and Analysis Research 61
- Information Systems top 0.05%
- Software Engineering Research 101
- Service-Oriented Architecture and Web Services 12
- Web Data Mining and Analysis 7
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques 22
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- Software System Performance and Reliability 41
- Hardware and Architecture top 2%
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- Advanced Software Engineering Methodologies 7
Lu Zhang
153 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Software 4.0k
- Information Systems 4.3k
- Signal Processing 958
- Computer Networks and Communications 1.3k
- Hardware and Architecture 303
Countries citing papers authored by Lu Zhang
This map shows the geographic impact of Lu Zhang'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 Lu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Zhang more than expected).
Fields of papers citing papers by Lu Zhang
This network shows the impact of papers produced by Lu Zhang. 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 Lu Zhang. The network helps show where Lu Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 39 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 128 | |
| 14 | An Empirical Study of Fault Localization Families and Their Combinationsbreakdown → | 2019 | 178 |
| 15 | 2018 | 38 | |
| 16 | 2016 | 0 | |
| 17 | 2013 | 4 | |
| 18 | 2013 | 90 | |
| 19 | An Empirical Study of Execution-Data Classification Based on Machine Learning. | 2012 | 1 |
| 20 | 2002 | 4 |
About Lu Zhang
Lu Zhang is a scholar working on Software, Information Systems, Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 159 papers that have together received 5.7k indexed citations. Recurring topics across this work include Software Engineering Research (101 papers), Software Testing and Debugging Techniques (101 papers), Software Reliability and Analysis Research (61 papers), Software System Performance and Reliability (41 papers), Advanced Malware Detection Techniques (22 papers), Service-Oriented Architecture and Web Services (12 papers), Advanced Software Engineering Methodologies (7 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Software (4.0k citations), Information Systems (4.3k citations), Signal Processing (958 citations), Computer Networks and Communications (1.3k citations) and Hardware and Architecture (303 citations). Lu Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong Mei, Dan Hao, Yingfei Xiong, Tao Xie, Lingming Zhang, Jiasu Sun, Xiaoyin Wang, Junjie Chen, Lili Mou and Ge Li. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Science China Information Sciences, Automated Software Engineering and Journal of Systems and Software.
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.