Xintian Shi
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Bin KangBin JiLimin WangJianguo ZhangYan LiB. SchmittR. DinapoliB. Henrich
- Topics
- Medical Imaging Techniques and Applications (6 papers)Advanced X-ray and CT Imaging (4 papers)Particle Detector Development and Performance (3 papers)
- Journals
- Optics CommunicationsNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentJournal of Synchrotron Radiation
- Partner nations
- SwitzerlandChinaGermany
In The Last Decade
Xintian Shi
11 papers receiving 833 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 343
- Biomedical Engineering 276
- Artificial Intelligence 209
- Materials Chemistry 186
- Electrical and Electronic Engineering 168
Countries citing papers authored by Xintian Shi
This map shows the geographic impact of Xintian Shi'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 Xintian Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xintian Shi more than expected).
Fields of papers citing papers by Xintian Shi
This network shows the impact of papers produced by Xintian Shi. 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 Xintian Shi. The network helps show where Xintian Shi may publish in the future.
Co-authorship network of co-authors of Xintian Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Xintian Shi. A scholar is included among the top collaborators of Xintian Shi 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 Xintian Shi. Xintian Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | TEA: Temporal Excitation and Aggregation for Action Recognitionbreakdown → | 368 |
| 2 | 35 | |
| 3 | 1 | |
| 4 | 33 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 130 | |
| 9 | 208 | |
| 10 | 34 | |
| 11 | 21 |
About Xintian Shi
Xintian Shi is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Nuclear and High Energy Physics, having authored 11 papers that have together received 863 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (4 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Radiation (166 citations), Structural Biology (26 citations) and Computer Vision and Pattern Recognition (343 citations). Xintian Shi has collaborated with scholars based in Switzerland, China and Germany. Frequent co-authors include Bin Kang, Bin Ji, Limin Wang, Jianguo Zhang, Yan Li, B. Schmitt, R. Dinapoli, B. Henrich, A. Mozzanica and A. Bergamaschi. Their work appears in journals such as Optics Communications, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Synchrotron Radiation.
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.