Song Wu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Molecular Biology
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Topics
- MicroRNA in disease regulation (8 papers)Cancer-related molecular mechanisms research (7 papers)Bone Tissue Engineering Materials (5 papers)
In The Last Decade
Song Wu
27 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Computer Vision and Pattern Recognition 641
- Artificial Intelligence 508
- Molecular Biology 273
- Biomedical Engineering 212
- Radiology, Nuclear Medicine and Imaging 184
Countries citing papers authored by Song Wu
This map shows the geographic impact of Song Wu'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 Song Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wu more than expected).
Fields of papers citing papers by Song Wu
This network shows the impact of papers produced by Song Wu. 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 Song Wu. The network helps show where Song Wu may publish in the future.
Co-authorship network of co-authors of Song Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Song Wu. A scholar is included among the top collaborators of Song Wu 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 Song Wu. Song Wu 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 | 15 | |
| 4 | 6 | |
| 5 | 29 | |
| 6 | 43 | |
| 7 | 47 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | Anticancer effects of α-Bisabolol in human non-small cell lung carcinoma cells are mediated via apoptosis induction, cell cycle arrest, inhibition of cell migration and invasion and upregulation of P13K/AKT signalling pathway. | 10 |
| 12 | 42 | |
| 13 | 13 | |
| 14 | 17 | |
| 15 | 33 | |
| 16 | 22 | |
| 17 | 29 | |
| 18 | 9 | |
| 19 | Deep learning for visual understanding: A reviewbreakdown → | 1737 |
| 20 | 2 |
About Song Wu
Song Wu is a scholar working on Cancer Research, Applied Microbiology and Biotechnology and Automotive Engineering, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers) and Bone Tissue Engineering Materials (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (641 citations), Media Technology (147 citations) and Artificial Intelligence (508 citations). Song Wu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Songyang Lao, Yanming Guo, Ard Oerlemans, Yu Liu, Michael S. Lew, Bo Gao, Mingyang Liu, Xu Cao, Shan Huang and Chi Liang. Their work appears in journals such as Biomaterials, Antioxidants and Redox Signaling and Advanced Science.
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.