Cuiyun Gao
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Information Systems top 1%
- Software Engineering Research
- Software Engineering Techniques and Practices
- Web Data Mining and Analysis
Papers in
-
- Software Engineering Research 35
- Web Data Mining and Analysis 14
- Software Engineering Techniques and Practices 11
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- Topic Modeling 15
- Natural Language Processing Techniques 7
- Co-authors
- Michael R. Lyu (24 shared papers)Jichuan Zeng (12 shared papers)Irwin King (11 shared papers)David Lo (11 shared papers)Yang Liu (3 shared papers)Lei Ma (1 shared paper)Miryung Kim (1 shared paper)Tianyi Zhang (1 shared paper)
In The Last Decade
Cuiyun Gao
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Software 162
- Information Systems 640
- Artificial Intelligence 497
- Signal Processing 165
- Computer Science Applications 56
Countries citing papers authored by Cuiyun Gao
This map shows the geographic impact of Cuiyun 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 Cuiyun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiyun Gao more than expected).
Fields of papers citing papers by Cuiyun Gao
This network shows the impact of papers produced by Cuiyun 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 Cuiyun Gao. The network helps show where Cuiyun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiyun Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2018 | 94 | |
| 3 | 2018 | 91 | |
| 4 | 2023 | 60 | |
| 5 | 2020 | 55 | |
| 6 | 2023 | 41 | |
| 7 | 2024 | 37 | |
| 8 | 2020 | 37 | |
| 9 | 2021 | 36 | |
| 10 | 2019 | 35 | |
| 11 | 2018 | 35 | |
| 12 | 2023 | 33 | |
| 13 | 2019 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2015 | 31 | |
| 16 | 2022 | 26 | |
| 17 | 2022 | 24 | |
| 18 | 2015 | 24 | |
| 19 | 2023 | 22 | |
| 20 | 2019 | 21 |
About Cuiyun Gao
Cuiyun Gao is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Software, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Research (35 papers), Topic Modeling (15 papers), Web Data Mining and Analysis (14 papers), Advanced Malware Detection Techniques (11 papers), Software Engineering Techniques and Practices (11 papers), Software System Performance and Reliability (8 papers), Natural Language Processing Techniques (7 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Software (162 citations), Information Systems (640 citations), Artificial Intelligence (497 citations), Signal Processing (165 citations) and Computer Science Applications (56 citations). Cuiyun Gao has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Michael R. Lyu, Jichuan Zeng, Irwin King, David Lo, Yang Liu, Lei Ma, Miryung Kim, Tianyi Zhang, Jing Li and Xiaoyin Wang. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Reliability, Journal of Systems and Software and Information and Software Technology.
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.