Hua Li
- Computer Vision and Pattern Recognition top 2%
- Plant Science top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Topics
- Image Retrieval and Classification Techniques (21 papers)Advanced Image and Video Retrieval Techniques (15 papers)3D Shape Modeling and Analysis (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Experimental BotanyThe Journal of Physical Chemistry Letters
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hua Li
71 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 431
- Plant Science 257
- Radiology, Nuclear Medicine and Imaging 227
- Artificial Intelligence 189
- Computational Mechanics 94
Countries citing papers authored by Hua Li
This map shows the geographic impact of Hua 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 Hua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Li more than expected).
Fields of papers citing papers by Hua Li
This network shows the impact of papers produced by Hua 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 Hua Li. The network helps show where Hua Li may publish in the future.
Co-authorship network of co-authors of Hua Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Li. A scholar is included among the top collaborators of Hua 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 Hua Li. Hua 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | Nitrogen use efficiency in crops: lessons from Arabidopsis and ricebreakdown → | 277 |
| 13 | 2 | |
| 14 | 3D Model Retrieval Based on 3D Fractional Fourier Transform | 5 |
| 15 | 21 | |
| 16 | Three-dimensional reconstruction of human sciatic nerve from serial tissue sections | 1 |
| 17 | 0 | |
| 18 | 10 | |
| 19 | Tracking of Players from Soccer Video Sequences | 1 |
| 20 | 2 |
About Hua Li
Hua Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Theoretical Computer Science, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (15 papers) and 3D Shape Modeling and Analysis (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (431 citations), Computer Graphics and Computer-Aided Design (47 citations) and Radiology, Nuclear Medicine and Imaging (227 citations). Hua Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Chengcai Chu, Bin Hu, Dong Xu, Anthony Yezzi, Dengao Li, Dong-Hui Xu, Yanyun Ma, Jumin Zhao, Zongmin Li and Chen Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Experimental Botany and The Journal of Physical Chemistry Letters.
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.