Jinyang Li
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Co-authors
- Christopher MitchellChien-Chin HuangJay ChenLakshminarayanan SubramanianTarek AbdelzaherTianshi WangShengzhong LiuLingfan Yu
- Topics
- Advanced Neural Network Applications (5 papers)Anomaly Detection Techniques and Applications (3 papers)Human Pose and Action Recognition (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jinyang Li
27 papers receiving 643 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 319
- Information Systems 238
- Computer Vision and Pattern Recognition 204
- Artificial Intelligence 152
- Hardware and Architecture 120
Countries citing papers authored by Jinyang Li
This map shows the geographic impact of Jinyang 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 Jinyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyang Li more than expected).
Fields of papers citing papers by Jinyang Li
This network shows the impact of papers produced by Jinyang 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 Jinyang Li. The network helps show where Jinyang Li may publish in the future.
Co-authorship network of co-authors of Jinyang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jinyang Li. A scholar is included among the top collaborators of Jinyang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinyang Li. Jinyang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 25 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | 7 | |
| 15 | 87 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Using one-sided RDMA reads to build a fast, CPU-efficient key-value storebreakdown → | 229 |
| 19 | 32 | |
| 20 | 39 |
About Jinyang Li
Jinyang Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Hardware and Architecture, having authored 28 papers that have together received 661 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computational Mathematics (11 citations), Hardware and Architecture (120 citations) and Computer Networks and Communications (319 citations). Jinyang Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Christopher Mitchell, Chien-Chin Huang, Jay Chen, Lakshminarayanan Subramanian, Tarek Abdelzaher, Tianshi Wang, Shengzhong Liu, Lingfan Yu, Yongwei Wu and Dongxin Liu. Their work appears in journals such as Optics Letters, Optics Express and IEEE Access.
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.