S. Gu
Impact in
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- VLSI and Analog Circuit Testing
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Human Pose and Action Recognition
Papers in
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- Artificial Intelligence in Healthcare 2
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- Radioactive element chemistry and processing 2
- Co-authors
- Xiangfen Zhang (1 shared paper)Zhijun Fang (1 shared paper)Feiniu Yuan (1 shared paper)Xiaodong Wang (1 shared paper)Yanwen Zhang (1 shared paper)Shuai Liu (1 shared paper)Eng King Tan (1 shared paper)Wei Lü (2 shared papers)
- Journals
- Talanta (1 paper)Briefings in Bioinformatics (1 paper)Pattern Recognition (1 paper)Proceedings of the Combustion Institute (1 paper)Food Chemistry X (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
S. Gu
14 papers receiving 45 citations
Peers
Comparison fields: 5 of 29
- Hardware and Architecture 3
- Computer Vision and Pattern Recognition 8
- Ceramics and Composites 2
- Health Information Management 1
- Modeling and Simulation 1
Countries citing papers authored by S. Gu
This map shows the geographic impact of S. Gu'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 S. Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Gu more than expected).
Fields of papers citing papers by S. Gu
This network shows the impact of papers produced by S. Gu. 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 S. Gu. The network helps show where S. Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Gu, 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 | 2024 | 11 | |
| 2 | 2023 | 7 | |
| 3 | Impact of thinning and packaging on a deep submicron CMOS product | 2009 | 7 |
| 4 | 2025 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About S. Gu
S. Gu is a scholar working on Health Information Management, Inorganic Chemistry, Biochemistry, Fluid Flow and Transfer Processes and Mechanics of Materials, having authored 16 papers that have together received 47 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Radioactive element chemistry and processing (2 papers), 3D IC and TSV technologies (1 paper), CRISPR and Genetic Engineering (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Pluripotent Stem Cells Research (1 paper), Animal Genetics and Reproduction (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Hardware and Architecture (3 citations), Computer Vision and Pattern Recognition (8 citations), Ceramics and Composites (2 citations), Health Information Management (1 citation) and Modeling and Simulation (1 citation). S. Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiangfen Zhang, Zhijun Fang, Feiniu Yuan, Xiaodong Wang, Yanwen Zhang, Shuai Liu, Eng King Tan, Wei Lü, Hai-Shan Zhou and Guang–Nan Luo. Their work appears in journals such as Talanta, Briefings in Bioinformatics, Pattern Recognition, Proceedings of the Combustion Institute and Food Chemistry X.
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.