Shiwen Shen
About
In The Last Decade
Shiwen Shen
13 papers receiving 431 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 264
- Artificial Intelligence 194
- Pulmonary and Respiratory Medicine 188
- Computer Vision and Pattern Recognition 102
- Biomedical Engineering 42
Countries citing papers authored by Shiwen Shen
This map shows the geographic impact of Shiwen Shen'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 Shiwen Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwen Shen more than expected).
Fields of papers citing papers by Shiwen Shen
This network shows the impact of papers produced by Shiwen Shen. 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 Shiwen Shen. The network helps show where Shiwen Shen may publish in the future.
Co-authorship network of co-authors of Shiwen Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Shiwen Shen. A scholar is included among the top collaborators of Shiwen Shen 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 Shiwen Shen. Shiwen Shen 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 | 1 | |
| 3 | 31 | |
| 4 | 24 | |
| 5 | Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis | 3 |
| 6 | 184 | |
| 7 | Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis | 1 |
| 8 | 88 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. | 1 |
| 12 | 79 | |
| 13 | 2 | |
| 14 | 9 |
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.