Yujie Li
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Media Technology top 0.2%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 2%
- Topics
- Image Enhancement Techniques (44 papers)Advanced Image Fusion Techniques (35 papers)Advanced Vision and Imaging (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaNew PhytologistIEEE Access
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yujie Li
177 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 2.6k
- Artificial Intelligence 1.4k
- Media Technology 993
- Electrical and Electronic Engineering 513
- Computer Networks and Communications 433
Countries citing papers authored by Yujie Li
This map shows the geographic impact of Yujie 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 Yujie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujie Li more than expected).
Fields of papers citing papers by Yujie Li
This network shows the impact of papers produced by Yujie 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 Yujie Li. The network helps show where Yujie Li may publish in the future.
Co-authorship network of co-authors of Yujie Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yujie Li. A scholar is included among the top collaborators of Yujie 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 Yujie Li. Yujie 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 | 21 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 44 | |
| 12 | 59 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | Survey on Vision-Based 3D Object Detection Methods | 1 |
| 16 | 96 | |
| 17 | NAS-Unet: Neural Architecture Search for Medical Image Segmentationbreakdown → | 319 |
| 18 | Detection of Grasping Position from Video Images Based on SSD | 3 |
| 19 | 4 | |
| 20 | Monitoring Control System of Blade Coal Feeders Based on Low Voltage Power Line Carrier Communication | 0 |
About Yujie Li
Yujie Li is a scholar working on Media Technology, Computer Vision and Pattern Recognition and General Engineering, having authored 202 papers that have together received 5.7k indexed citations. Recurring topics across this work include Image Enhancement Techniques (44 papers), Advanced Image Fusion Techniques (35 papers) and Advanced Vision and Imaging (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Media Technology (993 citations) and Health Informatics (77 citations). Yujie Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Huimin Lu, Seiichi Serikawa, Hyoung Seop Kim, Min Chen, Xing Xu, Jianru Li, Yin Zhang⋆, Yu Weng, Tianbao Zhou and Xiaoyu Qiu. Their work appears in journals such as SHILAP Revista de lepidopterología, New Phytologist 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.