Bojian Wu
- Psychiatry and Mental health top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Geology top 10%
- Computational Mechanics
- Co-authors
- Hui HuangMing‐Tsun TsaiYiming QianYang ZhouLawrence Shih‐Hsin WuJianqiang HuangOliver van KaickHao Zhang
- Topics
- Schizophrenia research and treatment (7 papers)Psychosomatic Disorders and Their Treatments (3 papers)Bipolar Disorder and Treatment (3 papers)
- Cited by
- Biological PsychiatryComputer Graphics and Computer-Aided DesignPsychiatry and Mental health
- Partner nations
- TaiwanChinaSouth Korea
In The Last Decade
Bojian Wu
25 papers receiving 383 citations
Peers
Comparison fields: 5 of 110
- Psychiatry and Mental health 120
- Computer Vision and Pattern Recognition 110
- Aerospace Engineering 48
- Geology 41
- Computational Mechanics 35
Countries citing papers authored by Bojian Wu
This map shows the geographic impact of Bojian Wu'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 Bojian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bojian Wu more than expected).
Fields of papers citing papers by Bojian Wu
This network shows the impact of papers produced by Bojian Wu. 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 Bojian Wu. The network helps show where Bojian Wu may publish in the future.
Co-authorship network of co-authors of Bojian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Bojian Wu. A scholar is included among the top collaborators of Bojian Wu 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 Bojian Wu. Bojian Wu 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 | 2 | |
| 3 | 37 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 17 | |
| 8 | 13 | |
| 9 | 10 | |
| 10 | 24 | |
| 11 | 10 | |
| 12 | 49 | |
| 13 | 14 | |
| 14 | 15 | |
| 15 | Construction of very high resolution DTMs based on NAC images using stereo analysis and shape from shading : a first glance | 2 |
| 16 | 7 | |
| 17 | 35 | |
| 18 | 21 | |
| 19 | 13 | |
| 20 | 31 |
About Bojian Wu
Bojian Wu is a scholar working on Psychiatry and Mental health, Computer Graphics and Computer-Aided Design and Geology, having authored 25 papers that have together received 388 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (7 papers), Psychosomatic Disorders and Their Treatments (3 papers) and Bipolar Disorder and Treatment (3 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Computer Graphics and Computer-Aided Design (29 citations) and Psychiatry and Mental health (120 citations). Bojian Wu has collaborated with scholars based in Taiwan, China and South Korea. Frequent co-authors include Hui Huang, Ming‐Tsun Tsai, Yiming Qian, Yang Zhou, Lawrence Shih‐Hsin Wu, Jianqiang Huang, Oliver van Kaick, Hao Zhang, Ariel Shamir and Ruizhen Hu. Their work appears in journals such as Scientific Reports, Molecules and ACM Transactions on Graphics.
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.