Qian Wei
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Economics and Econometrics top 10%
- Immunology
- Radiology, Nuclear Medicine and Imaging
- Topics
- AI in cancer detection (7 papers)Advanced Neural Network Applications (6 papers)Medical Image Segmentation Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionManagement Science and Operations ResearchDermatology
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qian Wei
49 papers receiving 476 citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 99
- Artificial Intelligence 82
- Economics and Econometrics 81
- Immunology 57
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Qian Wei
This map shows the geographic impact of Qian Wei'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 Qian Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Wei more than expected).
Fields of papers citing papers by Qian Wei
This network shows the impact of papers produced by Qian Wei. 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 Qian Wei. The network helps show where Qian Wei may publish in the future.
Co-authorship network of co-authors of Qian Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Wei. A scholar is included among the top collaborators of Qian Wei 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 Qian Wei. Qian Wei 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 | 2 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | Characteristics of Macroscopic Fundamental Diagram Based on SPM | 1 |
| 14 | Common Electric Power Grid GIS Platform Oriented Architecture for Electric Power Grid GIS Applications | 4 |
| 15 | 47 | |
| 16 | Changes in Cold Wave Events and Warm Winter in China during the Last 46 Years | 25 |
| 17 | 2 | |
| 18 | 18 | |
| 19 | NUMERICAL SIMULATION OF TURBULENT FLOW PAST AIRFOIL AT LOW MACH NUMBER | 1 |
| 20 | 29 |
About Qian Wei
Qian Wei is a scholar working on Computer Vision and Pattern Recognition, Energy Engineering and Power Technology and Computer Networks and Communications, having authored 59 papers that have together received 492 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Advanced Neural Network Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Management Science and Operations Research (44 citations) and Dermatology (27 citations). Qian Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aijun Li, Robert A. Clark, Maria Kallergi, Jieruo Gu, Zetao Liao, Zhiping Jia, Bingzhe Li, Luyao Zhang, Wanli Chang and Zili Shao. Their work appears in journals such as Nano Letters, Journal of Cleaner Production and Energy Policy.
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.