Guangba Yu
Impact in
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- Software System Performance and Reliability
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Software top 5%
- Software Reliability and Analysis Research
Papers in
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- Software System Performance and Reliability 30
- Network Security and Intrusion Detection 13
- Software-Defined Networks and 5G 7
- IoT and Edge/Fog Computing 6
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- Cloud Computing and Resource Management 13
- Software Engineering Research 5
- Service-Oriented Architecture and Web Services 3
- Co-authors
- Pengfei Chen (29 shared papers)Xiaoyun Li (9 shared papers)Zilong He (16 shared papers)Zibin Zheng (5 shared papers)Zibin Zheng (4 shared papers)Hongyang Chen (10 shared papers)Zicheng Huang (3 shared papers)Pengfei Chen (1 shared paper)
In The Last Decade
Guangba Yu
32 papers receiving 635 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 569
- Software 55
- Information Systems 272
- Artificial Intelligence 283
- Signal Processing 43
Countries citing papers authored by Guangba Yu
This map shows the geographic impact of Guangba 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 Guangba Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangba Yu more than expected).
Fields of papers citing papers by Guangba Yu
This network shows the impact of papers produced by Guangba 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 Guangba Yu. The network helps show where Guangba Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangba Yu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2020 | 88 | |
| 3 | 2019 | 75 | |
| 4 | 2021 | 72 | |
| 5 | 2020 | 57 | |
| 6 | 2023 | 45 | |
| 7 | 2022 | 42 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Guangba Yu
Guangba Yu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Software and Management Information Systems, having authored 35 papers that have together received 651 indexed citations. Recurring topics across this work include Software System Performance and Reliability (30 papers), Cloud Computing and Resource Management (13 papers), Network Security and Intrusion Detection (13 papers), Software-Defined Networks and 5G (7 papers), Anomaly Detection Techniques and Applications (7 papers), IoT and Edge/Fog Computing (6 papers), Software Engineering Research (5 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Computer Networks and Communications (569 citations), Software (55 citations), Information Systems (272 citations), Artificial Intelligence (283 citations) and Signal Processing (43 citations). Guangba Yu has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Pengfei Chen, Xiaoyun Li, Zilong He, Zibin Zheng, Zibin Zheng, Hongyang Chen, Zicheng Huang, Pengfei Chen, Cailin Chen and Xinrui Li. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cloud Computing and IEEE Access.
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.