Guoxin Su
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
- Software 9
- Software Reliability and Analysis Research 9
- Software Testing and Debugging Techniques 3
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- Service-Oriented Architecture and Web Services 4
- Co-authors
- Li Liu (10 shared papers)David S. Rosenblum (7 shared papers)Shu Wang (1 shared paper)Kunxia Wang (1 shared paper)Ming Liu (3 shared papers)Khin Than Win (1 shared paper)Shu Wang (2 shared papers)Zi‐Gang Huang (1 shared paper)
In The Last Decade
Guoxin Su
30 papers receiving 282 citations
Peers
Comparison fields: 5 of 73
- Software 44
- Signal Processing 63
- Computer Vision and Pattern Recognition 76
- Human-Computer Interaction 19
- Experimental and Cognitive Psychology 45
Countries citing papers authored by Guoxin Su
This map shows the geographic impact of Guoxin Su'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 Guoxin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxin Su more than expected).
Fields of papers citing papers by Guoxin Su
This network shows the impact of papers produced by Guoxin Su. 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 Guoxin Su. The network helps show where Guoxin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoxin Su, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2017 | 37 | |
| 3 | 2023 | 27 | |
| 4 | 2022 | 25 | |
| 5 | 2016 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2015 | 12 | |
| 8 | 2017 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2017 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Guoxin Su
Guoxin Su is a scholar working on Software, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems, having authored 32 papers that have together received 284 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (9 papers), Business Process Modeling and Analysis (6 papers), Formal Methods in Verification (5 papers), Context-Aware Activity Recognition Systems (4 papers), Complex Network Analysis Techniques (4 papers), Service-Oriented Architecture and Web Services (4 papers), Opinion Dynamics and Social Influence (4 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (44 citations), Signal Processing (63 citations), Computer Vision and Pattern Recognition (76 citations), Human-Computer Interaction (19 citations) and Experimental and Cognitive Psychology (45 citations). Guoxin Su has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Li Liu, David S. Rosenblum, Shu Wang, Kunxia Wang, Ming Liu, Khin Than Win, Shu Wang, Zi‐Gang Huang, Yuan Feng and Taolue Chen. Their work appears in journals such as Future Internet, Information Sciences, IEEE Access, IEEE Transactions on Software Engineering and Neurocomputing.
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.