Xingyu Li
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Privacy-Preserving Technologies in Data 6
- Stochastic Gradient Optimization Techniques 2
- Internet Traffic Analysis and Secure E-voting 2
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
- Co-authors
- Bo Tang (6 shared papers)Zhe Qu (4 shared papers)Zhuo Lu (4 shared papers)Yao Liu (2 shared papers)Shangqing Zhao (1 shared paper)Xiaoping Chen (1 shared paper)Haifen Li (1 shared paper)Qing Lu (1 shared paper)
- Journals
- Neurocomputing (1 paper)Clinical Pharmacokinetics (1 paper)Dose-Response (1 paper)Plant Molecular Biology (1 paper)American Journal of Transplantation (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xingyu Li
19 papers receiving 390 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 7
- Artificial Intelligence 163
- Biochemistry 16
- Molecular Biology 120
- Plant Science 66
Countries citing papers authored by Xingyu Li
This map shows the geographic impact of Xingyu 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 Xingyu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Li more than expected).
Fields of papers citing papers by Xingyu Li
This network shows the impact of papers produced by Xingyu 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 Xingyu Li. The network helps show where Xingyu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingyu 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 | 2021 | 96 | |
| 2 | 2018 | 79 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 24 | |
| 6 | 2020 | 21 | |
| 7 | 2017 | 21 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2020 | 4 | |
| 17 | [Expression of NET-1 gene and protein in hepatocellular carcinoma and related tissues]. | 2006 | 4 |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 |
About Xingyu Li
Xingyu Li is a scholar working on Artificial Intelligence, Molecular Biology, Organic Chemistry, Computer Vision and Pattern Recognition and Spectroscopy, having authored 19 papers that have together received 398 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Supramolecular Chemistry and Complexes (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Analytical Chemistry and Chromatography (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (163 citations), Biochemistry (16 citations), Molecular Biology (120 citations) and Plant Science (66 citations). Xingyu Li has collaborated with scholars based in United States, China and France. Frequent co-authors include Bo Tang, Zhe Qu, Zhuo Lu, Yao Liu, Shangqing Zhao, Xiaoping Chen, Haifen Li, Qing Lu, Xuanqiang Liang and Yanbin Hong. Their work appears in journals such as Neurocomputing, Clinical Pharmacokinetics, Dose-Response, Plant Molecular Biology and American Journal of Transplantation.
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.