Shifu Li
Impact in
-
- Advanced Database Systems and Queries
- Software System Performance and Reliability
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
- Neurology 13
- Intracranial Aneurysms: Treatment and Complications 10
- Vascular Malformations Diagnosis and Treatment 5
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Intracerebral and Subarachnoid Hemorrhage Research 4
- Co-authors
- Xuanhe Zhou (4 shared papers)Guoliang Li (2 shared papers)Tianqing Wang (3 shared papers)Fenghua Chen (12 shared papers)Xiang Yu (2 shared papers)Ji Sun (2 shared papers)Zheng Huang (12 shared papers)Yue Han (1 shared paper)
- Journals
- Inflammation Research (3 papers)Proceedings of the VLDB Endowment (3 papers)Eye (2 papers)BMJ Open (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shifu Li
43 papers receiving 516 citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 171
- Signal Processing 77
- Artificial Intelligence 167
- Information Systems 111
- Cancer Research 51
Countries citing papers authored by Shifu Li
This map shows the geographic impact of Shifu 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 Shifu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shifu Li more than expected).
Fields of papers citing papers by Shifu Li
This network shows the impact of papers produced by Shifu 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 Shifu Li. The network helps show where Shifu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shifu 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2021 | 62 | |
| 3 | 2019 | 56 | |
| 4 | 2009 | 44 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2018 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2015 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 6 | |
| 19 | The Transcriptional Landscapes and Key Genes in Brain Arteriovenous Malformation Progression in a Venous Hypertension Rat Model Revealed by RNA Sequencing | 2022 | 5 |
| 20 | 2022 | 5 |
About Shifu Li
Shifu Li is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and Immunology, having authored 49 papers that have together received 528 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (10 papers), Vascular Malformations Diagnosis and Treatment (5 papers), HIV, Drug Use, Sexual Risk (5 papers), HIV/AIDS Research and Interventions (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Moyamoya disease diagnosis and treatment (4 papers). The work is most often cited by research in Computer Networks and Communications (171 citations), Signal Processing (77 citations), Artificial Intelligence (167 citations), Information Systems (111 citations) and Cancer Research (51 citations). Shifu Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xuanhe Zhou, Guoliang Li, Tianqing Wang, Fenghua Chen, Xiang Yu, Ji Sun, Zheng Huang, Yue Han, Shuang Liu and Fenglei Yu. Their work appears in journals such as Inflammation Research, Proceedings of the VLDB Endowment, Eye, BMJ Open and Frontiers in Genetics.
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.