Jingdan Zhang
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Topics
- Medical Image Segmentation Techniques (11 papers)Advanced Vision and Imaging (9 papers)Computer Graphics and Visualization Techniques (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jingdan Zhang
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 791
- Computer Graphics and Computer-Aided Design 468
- Computational Mechanics 357
- Radiology, Nuclear Medicine and Imaging 295
- Biomedical Engineering 279
Countries citing papers authored by Jingdan Zhang
This map shows the geographic impact of Jingdan Zhang'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 Jingdan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingdan Zhang more than expected).
Fields of papers citing papers by Jingdan Zhang
This network shows the impact of papers produced by Jingdan Zhang. 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 Jingdan Zhang. The network helps show where Jingdan Zhang may publish in the future.
Co-authorship network of co-authors of Jingdan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jingdan Zhang. A scholar is included among the top collaborators of Jingdan Zhang 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 Jingdan Zhang. Jingdan Zhang 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 25 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 33 | |
| 15 | 40 | |
| 16 | Object detection and segmentation using discriminative learning | 1 |
| 17 | Three-dimensional Modeling Approach Based on Stereo Vision | 1 |
| 18 | 32 | |
| 19 | 36 | |
| 20 | 176 |
About Jingdan Zhang
Jingdan Zhang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Advanced Vision and Imaging (9 papers) and Computer Graphics and Visualization Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (468 citations), Computer Vision and Pattern Recognition (791 citations) and Computational Mechanics (357 citations). Jingdan Zhang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Baining Guo, Heung‐Yeung Shum, S. Kevin Zhou, Xin Tong, Ligang Liu, Xi Wang, Kun Zhou, Luiz Velho, Leonard McMillan and Neil Birkbeck. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.
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.