Shiqing Li
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 9
- Embedded Systems Design Techniques 4
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- Advanced biosensing and bioanalysis techniques 3
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- Interconnection Networks and Systems 9
- Advanced Data Storage Technologies 3
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- Advanced Neural Network Applications 5
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- Advanced Memory and Neural Computing 4
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- Muon and positron interactions and applications 3
- Co-authors
- Stevan R. HubbardWeichen LiuEvan G. SteinJeffrey H. TillMark E. BowenW. Todd MillerMarcus M. K. LeeJun Deng
- Journals
- Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (1 paper)Nature Communications (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Shiqing Li
40 papers receiving 480 citations
Peers
Comparison fields: 5 of 94
- Hardware and Architecture 55
- Small Animals 24
- Aging 5
- Molecular Biology 164
- Electronic, Optical and Magnetic Materials 42
Countries citing papers authored by Shiqing Li
This map shows the geographic impact of Shiqing Li'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 Shiqing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiqing Li more than expected).
Fields of papers citing papers by Shiqing Li
This network shows the impact of papers produced by Shiqing Li. 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 Shiqing Li. The network helps show where Shiqing Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shiqing Li, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 15 | |
| 4 | 2025 | 11 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 19 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 10 | |
| 18 | 2018 | 11 | |
| 19 | 2005 | 37 | |
| 20 | 2003 | 49 |
About Shiqing Li
Shiqing Li is a scholar working on Hardware and Architecture, Developmental Biology and Computer Networks and Communications, having authored 44 papers that have together received 495 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (9 papers), Parallel Computing and Optimization Techniques (9 papers), Advanced Neural Network Applications (5 papers), Advanced Memory and Neural Computing (4 papers), Embedded Systems Design Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Muon and positron interactions and applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Small Animals (24 citations) and Aging (5 citations). Shiqing Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Stevan R. Hubbard, Weichen Liu, Evan G. Stein, Jeffrey H. Till, Mark E. Bowen, W. Todd Miller, Marcus M. K. Lee, Jun Deng, Fang Luo and Da Huang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.
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.