Shengsheng Yu
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Artificial Intelligence
- Media Technology top 10%
- Topics
- Video Coding and Compression Technologies (10 papers)Video Surveillance and Tracking Methods (10 papers)Advanced Vision and Imaging (10 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shengsheng Yu
58 papers receiving 310 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 215
- Electrical and Electronic Engineering 63
- Computer Networks and Communications 46
- Artificial Intelligence 44
- Media Technology 31
Countries citing papers authored by Shengsheng Yu
This map shows the geographic impact of Shengsheng Yu'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 Shengsheng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengsheng Yu more than expected).
Fields of papers citing papers by Shengsheng Yu
This network shows the impact of papers produced by Shengsheng Yu. 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 Shengsheng Yu. The network helps show where Shengsheng Yu may publish in the future.
Co-authorship network of co-authors of Shengsheng Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengsheng Yu. A scholar is included among the top collaborators of Shengsheng Yu 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 Shengsheng Yu. Shengsheng Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | File System Implementation Method to Improve the Network Storage Performance | 1 |
| 7 | An H.264 Error Resilience Algorithm Based on Statistics over Error-Prone Channels | 1 |
| 8 | Color and neighbor edge directional difference feature for image retrieval | 3 |
| 9 | 8 | |
| 10 | Algorithm of BP Neural Network-based Face Detection | 2 |
| 11 | Implementation and Performance Analysis of iSCSI-Based Storage Systems Under Linux | 1 |
| 12 | Research and Implementation of Emulated Serial Ports in Bluetooth | 1 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | A survey of face detection, extraction and recognition | 28 |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | 3 |
About Shengsheng Yu
Shengsheng Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 65 papers that have together received 345 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (10 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Media Technology (31 citations) and Signal Processing (29 citations). Shengsheng Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingli Zhou, Quan Liu, Xiaoping Chen, Lin Li, Jinhai Xiang, Hongwei Lu, Kaikai Niu, Jun Xu, Yaling Dou and Xiaozhen Li. Their work appears in journals such as Langmuir, Chemical Communications and Journal of Materials Chemistry A.
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.