Lianwen Jin
- Computer Vision and Pattern Recognition top 0.1%
- Media Technology top 0.1%
- Artificial Intelligence top 0.5%
- Human-Computer Interaction top 0.5%
- Biomedical Engineering top 5%
- Topics
- Handwritten Text Recognition Techniques (175 papers)Image Processing and 3D Reconstruction (72 papers)Image Retrieval and Classification Techniques (66 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lianwen Jin
293 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 6.0k
- Media Technology 1.9k
- Artificial Intelligence 1.8k
- Human-Computer Interaction 589
- Biomedical Engineering 513
Countries citing papers authored by Lianwen Jin
This map shows the geographic impact of Lianwen Jin'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 Lianwen Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianwen Jin more than expected).
Fields of papers citing papers by Lianwen Jin
This network shows the impact of papers produced by Lianwen Jin. 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 Lianwen Jin. The network helps show where Lianwen Jin may publish in the future.
Co-authorship network of co-authors of Lianwen Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Lianwen Jin. A scholar is included among the top collaborators of Lianwen Jin 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 Lianwen Jin. Lianwen Jin 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 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 23 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 47 | |
| 20 | 17 |
About Lianwen Jin
Lianwen Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 311 papers that have together received 7.4k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (175 papers), Image Processing and 3D Reconstruction (72 papers) and Image Retrieval and Classification Techniques (66 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.0k citations), Media Technology (1.9k citations) and Human-Computer Interaction (589 citations). Lianwen Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuliang Liu, Canjie Luo, Zecheng Xie, Dapeng Tao, Songxuan Lai, Xuelong Li, Lingyu Liang, Zenghui Sun, Weixin Yang and Zhuoyao Zhong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.