Qian Li
- Computer Vision and Pattern Recognition top 2%
- Global and Planetary Change top 5%
- Atmospheric Science top 5%
- Environmental Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Zhengxing SunHuimin WangMenghua DengJunfei ChenXuan PengZhenghua HuangDongliang HeMeiling Wang
- Topics
- Meteorological Phenomena and Simulations (19 papers)Advanced Neural Network Applications (15 papers)Advanced Image Fusion Techniques (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentBioresource Technology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qian Li
184 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 610
- Global and Planetary Change 420
- Atmospheric Science 378
- Environmental Engineering 229
- Artificial Intelligence 204
Countries citing papers authored by Qian Li
This map shows the geographic impact of Qian 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 Qian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Li more than expected).
Fields of papers citing papers by Qian Li
This network shows the impact of papers produced by Qian 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 Qian Li. The network helps show where Qian Li may publish in the future.
Co-authorship network of co-authors of Qian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Li. A scholar is included among the top collaborators of Qian 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 Qian Li. Qian 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 | 1 | |
| 2 | TMSF: Taylor expansion approximation network with multi-stage feature representation for optical flow estimationbreakdown → | 27 |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 23 | |
| 20 | 33 |
About Qian Li
Qian Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science, having authored 212 papers that have together received 2.2k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (19 papers), Advanced Neural Network Applications (15 papers) and Advanced Image Fusion Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (610 citations), Media Technology (190 citations) and Atmospheric Science (378 citations). Qian Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhengxing Sun, Huimin Wang, Menghua Deng, Junfei Chen, Xuan Peng, Zhenghua Huang, Dongliang He, Meiling Wang, Fu Li and Errui Ding. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.
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.