Nianjuan Jiang
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Geology top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Ping TanLoong‐Fah CheongJiangbo LuZhaopeng CuiXiaoguang HanKui JiaKun ZhouN. Minh
- Topics
- Advanced Vision and Imaging (12 papers)Robotics and Sensor-Based Localization (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Nianjuan Jiang
19 papers receiving 540 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 497
- Aerospace Engineering 184
- Geology 103
- Artificial Intelligence 65
- Biomedical Engineering 63
Countries citing papers authored by Nianjuan Jiang
This map shows the geographic impact of Nianjuan Jiang'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 Nianjuan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianjuan Jiang more than expected).
Fields of papers citing papers by Nianjuan Jiang
This network shows the impact of papers produced by Nianjuan Jiang. 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 Nianjuan Jiang. The network helps show where Nianjuan Jiang may publish in the future.
Co-authorship network of co-authors of Nianjuan Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Nianjuan Jiang. A scholar is included among the top collaborators of Nianjuan Jiang 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 Nianjuan Jiang. Nianjuan Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 66 | |
| 7 | 77 | |
| 8 | 37 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 29 | |
| 12 | 102 | |
| 13 | 32 | |
| 14 | 15 | |
| 15 | 76 | |
| 16 | 18 | |
| 17 | 32 | |
| 18 | 2 | |
| 19 | 3 |
About Nianjuan Jiang
Nianjuan Jiang is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 566 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (497 citations), Geology (103 citations) and Computer Graphics and Computer-Aided Design (50 citations). Nianjuan Jiang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Ping Tan, Loong‐Fah Cheong, Jiangbo Lu, Zhaopeng Cui, Xiaoguang Han, Kui Jia, Kun Zhou, N. Minh, P. Tan and Xinguo Yu. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.