Siyuan Lu
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Neurology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering
- Co-authors
- Yudong ZhangShuihua WangZhihai LuJian WangJ. M. GórrizMing YangZiquan ZhuPreetha Phillips
- Topics
- Brain Tumor Detection and Classification (25 papers)Machine Learning and ELM (15 papers)COVID-19 diagnosis using AI (15 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Siyuan Lu
54 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 925
- Computer Vision and Pattern Recognition 750
- Neurology 584
- Radiology, Nuclear Medicine and Imaging 578
- Biomedical Engineering 252
Countries citing papers authored by Siyuan Lu
This map shows the geographic impact of Siyuan Lu'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 Siyuan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyuan Lu more than expected).
Fields of papers citing papers by Siyuan Lu
This network shows the impact of papers produced by Siyuan Lu. 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 Siyuan Lu. The network helps show where Siyuan Lu may publish in the future.
Co-authorship network of co-authors of Siyuan Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Siyuan Lu. A scholar is included among the top collaborators of Siyuan Lu 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 Siyuan Lu. Siyuan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 30 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 26 | |
| 17 | 61 | |
| 18 | 30 | |
| 19 | 39 | |
| 20 | 106 |
About Siyuan Lu
Siyuan Lu is a scholar working on Neurology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (25 papers), Machine Learning and ELM (15 papers) and COVID-19 diagnosis using AI (15 papers). The work is most often cited by research in Neurology (584 citations), Health Informatics (59 citations) and Computer Vision and Pattern Recognition (750 citations). Siyuan Lu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yudong Zhang, Shuihua Wang, Zhihai Lu, Jian Wang, J. M. Górriz, Ming Yang, Ziquan Zhu, Preetha Phillips, Ziquan Zhu and Zeyu Ren. Their work appears in journals such as The Science of The Total Environment, Neurocomputing and Applied Soft Computing.
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.