Zhihui Lin
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Atmospheric Science
- Global and Planetary Change
- Topics
- Geophysics and Sensor Technology (6 papers)Advanced MEMS and NEMS Technologies (5 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Journals
- SensorsIEEE Sensors Journal2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
In The Last Decade
Zhihui Lin
21 papers receiving 447 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 106
- Electrical and Electronic Engineering 88
- Artificial Intelligence 86
- Atmospheric Science 79
- Global and Planetary Change 68
Countries citing papers authored by Zhihui Lin
This map shows the geographic impact of Zhihui Lin'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 Zhihui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihui Lin more than expected).
Fields of papers citing papers by Zhihui Lin
This network shows the impact of papers produced by Zhihui Lin. 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 Zhihui Lin. The network helps show where Zhihui Lin may publish in the future.
Co-authorship network of co-authors of Zhihui Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhihui Lin. A scholar is included among the top collaborators of Zhihui Lin 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 Zhihui Lin. Zhihui Lin 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 | 15 | |
| 3 | 36 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Self-Attention ConvLSTM for Spatiotemporal Predictionbreakdown → | 248 |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | Self-representation and female agency in Qing China: genteel women's writings on their everyday practices in the inner quarters | 0 |
| 12 | Conditional Kronecker Batch Normalization for Compositional Reasoning. | 2 |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 47 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 32 | |
| 20 | 2 |
About Zhihui Lin
Zhihui Lin is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 22 papers that have together received 457 indexed citations. Recurring topics across this work include Geophysics and Sensor Technology (6 papers), Advanced MEMS and NEMS Technologies (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Atmospheric Science (79 citations) and Transportation (24 citations). Zhihui Lin has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Chun Yuan, Maomao Li, Zhuobin Zheng, Yangyang Cheng, Bo Hou, Rong Zhang, Bin Zhou, Wei Liu, Ziyu Wang and Tianyu Yang. Their work appears in journals such as Sensors, IEEE Sensors Journal and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.