Liang Li
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Signal Processing top 2%
- Media Technology top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Qingming HuangChenggang YanShuhui WangZheng-Jun ZhaYongdong ZhangQionghai DaiFeng DaiXingyu Gao
- Topics
- Advanced Image and Video Retrieval Techniques (50 papers)Multimodal Machine Learning Applications (38 papers)Domain Adaptation and Few-Shot Learning (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Liang Li
266 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 2.8k
- Artificial Intelligence 1.4k
- Signal Processing 443
- Media Technology 383
- Computer Networks and Communications 309
Countries citing papers authored by Liang Li
This map shows the geographic impact of Liang 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 Liang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Li more than expected).
Fields of papers citing papers by Liang Li
This network shows the impact of papers produced by Liang 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 Liang Li. The network helps show where Liang Li may publish in the future.
Co-authorship network of co-authors of Liang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Li. A scholar is included among the top collaborators of Liang 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 Liang Li. Liang 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 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 39 | |
| 16 | 13 | |
| 17 | 19 | |
| 18 | 8 | |
| 19 | 44 | |
| 20 | Ontology Mapping Algorithm Based on the Regularization Framework of Graph | 1 |
About Liang Li
Liang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 291 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (50 papers), Multimodal Machine Learning Applications (38 papers) and Domain Adaptation and Few-Shot Learning (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Media Technology (383 citations) and Artificial Intelligence (1.4k citations). Liang Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingming Huang, Chenggang Yan, Shuhui Wang, Zheng-Jun Zha, Yongdong Zhang, Qionghai Dai, Feng Dai, Xingyu Gao, Jian Yin and Qi Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.