Liang-Jian Deng
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.05%
- Computational Mechanics top 2%
- Biomedical Engineering top 10%
- Atmospheric Science top 10%
- Co-authors
- Ting‐Zhu HuangGemine VivoneXi-Le ZhaoTai-Xiang JiangJocelyn ChanussotJinfan HuJie HuangCheng Jin
- Topics
- Advanced Image Fusion Techniques (93 papers)Image and Signal Denoising Methods (77 papers)Remote-Sensing Image Classification (54 papers)
- Journals
- Nature CommunicationsPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Liang-Jian Deng
146 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 2.6k
- Media Technology 2.5k
- Computational Mechanics 466
- Biomedical Engineering 368
- Atmospheric Science 226
Countries citing papers authored by Liang-Jian Deng
This map shows the geographic impact of Liang-Jian Deng'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 Liang-Jian Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Jian Deng more than expected).
Fields of papers citing papers by Liang-Jian Deng
This network shows the impact of papers produced by Liang-Jian Deng. 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 Liang-Jian Deng. The network helps show where Liang-Jian Deng may publish in the future.
Co-authorship network of co-authors of Liang-Jian Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Liang-Jian Deng. A scholar is included among the top collaborators of Liang-Jian Deng 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 Liang-Jian Deng. Liang-Jian Deng 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 46 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 53 | |
| 11 | 37 | |
| 12 | 31 | |
| 13 | 59 | |
| 14 | 88 | |
| 15 | 16 | |
| 16 | 33 | |
| 17 | 84 | |
| 18 | 120 | |
| 19 | 73 | |
| 20 | 71 |
About Liang-Jian Deng
Liang-Jian Deng is a scholar working on Computational Mathematics, Media Technology and Computer Vision and Pattern Recognition, having authored 156 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (93 papers), Image and Signal Denoising Methods (77 papers) and Remote-Sensing Image Classification (54 papers). The work is most often cited by research in Computational Mathematics (211 citations), Media Technology (2.5k citations) and Computer Vision and Pattern Recognition (2.6k citations). Liang-Jian Deng has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Ting‐Zhu Huang, Gemine Vivone, Xi-Le Zhao, Tai-Xiang Jiang, Jocelyn Chanussot, Jinfan Hu, Jie Huang, Cheng Jin, Xiao Wu and Ran Ran. Their work appears in journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.