Chen Yin
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Co-authors
- Stephen Dawson-HaggertyAndreas TerzisChieh-Jan Mike LiangPrabal DuttaZhigang MaoNaifeng JingJianfei JiangQin Wang
- Topics
- Parallel Computing and Optimization Techniques (4 papers)Embedded Systems Design Techniques (4 papers)Interconnection Networks and Systems (3 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringHardware and Architecture
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsACM Transactions on Sensor Networks
- Partner nations
- ChinaUnited States
In The Last Decade
Chen Yin
8 papers receiving 257 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 240
- Electrical and Electronic Engineering 153
- Biomedical Engineering 32
- Hardware and Architecture 12
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Chen Yin
This map shows the geographic impact of Chen Yin'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 Chen Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Yin more than expected).
Fields of papers citing papers by Chen Yin
This network shows the impact of papers produced by Chen Yin. 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 Chen Yin. The network helps show where Chen Yin may publish in the future.
Co-authorship network of co-authors of Chen Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Yin. A scholar is included among the top collaborators of Chen Yin 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 Chen Yin. Chen Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 40 | |
| 7 | 1 | |
| 8 | 204 | |
| 9 | 1 |
About Chen Yin
Chen Yin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 263 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Embedded Systems Design Techniques (4 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (240 citations), Electrical and Electronic Engineering (153 citations) and Hardware and Architecture (12 citations). Chen Yin has collaborated with scholars based in China and United States. Frequent co-authors include Stephen Dawson-Haggerty, Andreas Terzis, Chieh-Jan Mike Liang, Prabal Dutta, Zhigang Mao, Naifeng Jing, Jianfei Jiang, Qin Wang, Weiguang Sheng and Jie Yang. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM Transactions on Sensor Networks.
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.