Bilan Zhu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Mechanical Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Masaki NakagawaCheng‐Lin LiuXiangdong ZhouJinfeng GaoCuong Tuan NguyenPing LiuHonglei ZhouXiaohong Chen
- Topics
- Handwritten Text Recognition Techniques (49 papers)Advanced Image and Video Retrieval Techniques (33 papers)Image Retrieval and Classification Techniques (25 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Bilan Zhu
52 papers receiving 314 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 284
- Artificial Intelligence 104
- Media Technology 80
- Mechanical Engineering 32
- Human-Computer Interaction 29
Countries citing papers authored by Bilan Zhu
This map shows the geographic impact of Bilan Zhu'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 Bilan Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilan Zhu more than expected).
Fields of papers citing papers by Bilan Zhu
This network shows the impact of papers produced by Bilan Zhu. 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 Bilan Zhu. The network helps show where Bilan Zhu may publish in the future.
Co-authorship network of co-authors of Bilan Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Bilan Zhu. A scholar is included among the top collaborators of Bilan Zhu 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 Bilan Zhu. Bilan Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | Segmentation of On-line Handwritten Japanese Characters of Arbitrary Line Direction Using SVM | 1 |
| 15 | A scalable on-line and off-line combined recognition system | 0 |
| 16 | A Compact On-line and Off-line Combined Recognizer | 16 |
| 17 | Structuring Search Space for Accelerating Large Set Character Recognition(Search Space for Character Recognition, Document Image Understanding and Digital Documents) | 1 |
| 18 | A Model of On-line Handwritten Japanese Text Recognition Free from Line Direction and Writing Format Constraints(On-line Text, Document Image Understanding and Digital Documents) | 3 |
| 19 | 3 | |
| 20 | 2 |
About Bilan Zhu
Bilan Zhu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 55 papers that have together received 324 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (49 papers), Advanced Image and Video Retrieval Techniques (33 papers) and Image Retrieval and Classification Techniques (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Media Technology (80 citations) and Human-Computer Interaction (29 citations). Bilan Zhu has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masaki Nakagawa, Cheng‐Lin Liu, Xiangdong Zhou, Jinfeng Gao, Cuong Tuan Nguyen, Ping Liu, Honglei Zhou, Xiaohong Chen, Pengfei Guan and Fujia Sun. Their work appears in journals such as Pattern Recognition, Materials and Pattern Recognition Letters.
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.