Lei Xiang
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Radiation top 5%
- Co-authors
- Dinggang ShenQian WangJian WuHannah GilmoreJun XuAnant MadabhushiQingshan LiuDong Nie
- Topics
- Medical Imaging Techniques and Applications (10 papers)Advanced MRI Techniques and Applications (7 papers)Advanced Image Processing Techniques (7 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lei Xiang
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 829
- Computer Vision and Pattern Recognition 519
- Artificial Intelligence 504
- Biomedical Engineering 313
- Radiation 132
Countries citing papers authored by Lei Xiang
This map shows the geographic impact of Lei Xiang'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 Lei Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Xiang more than expected).
Fields of papers citing papers by Lei Xiang
This network shows the impact of papers produced by Lei Xiang. 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 Lei Xiang. The network helps show where Lei Xiang may publish in the future.
Co-authorship network of co-authors of Lei Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Xiang. A scholar is included among the top collaborators of Lei Xiang 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 Lei Xiang. Lei Xiang 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 29 | |
| 11 | 34 | |
| 12 | 38 | |
| 13 | 12 | |
| 14 | 124 | |
| 15 | 20 | |
| 16 | 105 | |
| 17 | 208 | |
| 18 | 19 | |
| 19 | Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Imagesbreakdown → | 625 |
| 20 | Moving object detection algorithm based on background subtraction and frame differencing | 5 |
About Lei Xiang
Lei Xiang is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Process Chemistry and Technology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Image Processing Techniques (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (829 citations), Health Informatics (39 citations) and Computer Vision and Pattern Recognition (519 citations). Lei Xiang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dinggang Shen, Qian Wang, Jian Wu, Hannah Gilmore, Jun Xu, Anant Madabhushi, Qingshan Liu, Dong Nie, Weili Lin and Yu Qiao. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.