Le Jiang
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Media Technology top 10%
- Topics
- Image and Signal Denoising Methods (6 papers)Matrix Theory and Algorithms (4 papers)Sparse and Compressive Sensing Techniques (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryExpert Systems with Applications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Le Jiang
32 papers receiving 288 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 130
- Computational Mechanics 69
- Biomedical Engineering 46
- Electrical and Electronic Engineering 45
- Media Technology 39
Countries citing papers authored by Le Jiang
This map shows the geographic impact of Le Jiang'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 Le Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Jiang more than expected).
Fields of papers citing papers by Le Jiang
This network shows the impact of papers produced by Le Jiang. 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 Le Jiang. The network helps show where Le Jiang may publish in the future.
Co-authorship network of co-authors of Le Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Le Jiang. A scholar is included among the top collaborators of Le Jiang 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 Le Jiang. Le Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | Responses of flag-leaf photosynthetic pigments at late growth stage and rice yield components to elevated CO2 under FACE system. | 2 |
| 12 | 3 | |
| 13 | Study on Spatial Distribution and Convergence of China's Energy Intensity—Analysis Based on Dynamic Spatial Panel Model | 1 |
| 14 | Impacts of elevated CO_2 and increasing temperature on rice photosynthesis and yield in North China under FACE system | 2 |
| 15 | 70 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | Diagnosis and remedy of the nectarine chlorosis in greenhouse | 3 |
| 19 | 11 | |
| 20 | New Decomposition Formula for the Inversion of Toeplitz Matrices | 0 |
About Le Jiang
Le Jiang is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Computational Theory and Mathematics, having authored 33 papers that have together received 295 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Matrix Theory and Algorithms (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Media Technology (39 citations) and Computational Mechanics (69 citations). Le Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao-Guang Lv, Jun Liu, Sarah Ostadabbas, Jin Huang, Ting‐Zhu Huang, Caleb Lee, Bo Chen, Ming Ma, Teris A. van Beek and Zihui Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Expert Systems with Applications.
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.