Cheng‐Lin Liu
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.1%
- Media Technology top 0.05%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 0.2%
- Co-authors
- Fei YinXu-Yao ZhangCordelia SchmidHeng WangAlexander KläserQiufeng WangHiroshi SakoHiromichi Fujisawa
- Topics
- Handwritten Text Recognition Techniques (187 papers)Image Retrieval and Classification Techniques (94 papers)Image Processing and 3D Reconstruction (62 papers)
- Journals
- Environmental Science & TechnologyPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Cheng‐Lin Liu
351 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 9.7k
- Artificial Intelligence 5.0k
- Media Technology 2.3k
- Biomedical Engineering 907
- Human-Computer Interaction 886
Countries citing papers authored by Cheng‐Lin Liu
This map shows the geographic impact of Cheng‐Lin Liu'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 Cheng‐Lin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Lin Liu more than expected).
Fields of papers citing papers by Cheng‐Lin Liu
This network shows the impact of papers produced by Cheng‐Lin Liu. 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 Cheng‐Lin Liu. The network helps show where Cheng‐Lin Liu may publish in the future.
Co-authorship network of co-authors of Cheng‐Lin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Lin Liu. A scholar is included among the top collaborators of Cheng‐Lin Liu 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 Cheng‐Lin Liu. Cheng‐Lin Liu 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 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 44 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 13 | |
| 19 | 16 | |
| 20 | 73 |
About Cheng‐Lin Liu
Cheng‐Lin Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 378 papers that have together received 12.7k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (187 papers), Image Retrieval and Classification Techniques (94 papers) and Image Processing and 3D Reconstruction (62 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.7k citations), Media Technology (2.3k citations) and Human-Computer Interaction (886 citations). Cheng‐Lin Liu has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Fei Yin, Xu-Yao Zhang, Cordelia Schmid, Heng Wang, Alexander Kläser, Qiufeng Wang, Hiroshi Sako, Hiromichi Fujisawa, Da-Han Wang and Ching Y. Suen. Their work appears in journals such as Environmental Science & Technology, 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.