Tong Shan
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Radiation top 5%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Paul E. KinahanAdam AlessioC.W. StearnsSteven G. RossS.G. KohlmyerOu YangOliver YangPengcheng Shi
- Topics
- Network Traffic and Congestion Control (7 papers)Software-Defined Networks and 5G (5 papers)Advanced Optical Network Technologies (5 papers)
- Journals
- IEEE AccessIEEE Transactions on Medical ImagingIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- United StatesCanadaChina
In The Last Decade
Tong Shan
21 papers receiving 360 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 269
- Biomedical Engineering 100
- Radiation 95
- Computer Networks and Communications 52
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Tong Shan
This map shows the geographic impact of Tong Shan'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 Tong Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Shan more than expected).
Fields of papers citing papers by Tong Shan
This network shows the impact of papers produced by Tong Shan. 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 Tong Shan. The network helps show where Tong Shan may publish in the future.
Co-authorship network of co-authors of Tong Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Tong Shan. A scholar is included among the top collaborators of Tong Shan 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 Tong Shan. Tong Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Poster Abstract: Obstacle and Connectivity Aware Wireless Video Sensor Deployment for 3D Indoor Monitoring | 1 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 83 | |
| 7 | 177 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 0 |
About Tong Shan
Tong Shan is a scholar working on Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 372 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (7 papers), Software-Defined Networks and 5G (5 papers) and Advanced Optical Network Technologies (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (269 citations), Radiation (95 citations) and Computer Networks and Communications (52 citations). Tong Shan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Paul E. Kinahan, Adam Alessio, C.W. Stearns, Steven G. Ross, S.G. Kohlmyer, Ou Yang, Oliver Yang, Pengcheng Shi, Zhonghui Wang and Feng Wang. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and IEEE Transactions on Parallel and Distributed 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.