Qingfeng Li
Impact in
-
- Advanced Neural Network Applications
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
-
- Industrial Vision Systems and Defect Detection
Papers in
-
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Medical Image Segmentation Techniques 3
-
- AI in cancer detection 8
- Co-authors
- Jianwei Niu (16 shared papers)Jianbo Yu (3 shared papers)Xuefeng Liu (10 shared papers)Yong Wang (6 shared papers)Chen Chen (2 shared papers)Tao Ren (8 shared papers)Mingliang Xu (4 shared papers)Sajal K. Das (1 shared paper)
- Journals
- International Journal of Bio-Inspired Computation (2 papers)Frontiers in Oncology (2 papers)Applied Intelligence (1 paper)Mathematics and Computers in Simulation (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Qingfeng Li
43 papers receiving 543 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 211
- Industrial and Manufacturing Engineering 103
- Health Informatics 7
- Artificial Intelligence 148
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by Qingfeng Li
This map shows the geographic impact of Qingfeng Li'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 Qingfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Li more than expected).
Fields of papers citing papers by Qingfeng Li
This network shows the impact of papers produced by Qingfeng Li. 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 Qingfeng Li. The network helps show where Qingfeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2021 | 81 | |
| 3 | 2023 | 57 | |
| 4 | 2021 | 50 | |
| 5 | 2020 | 30 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2023 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2005 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Qingfeng Li
Qingfeng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Mechanical Engineering, having authored 47 papers that have together received 556 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers), Industrial Vision Systems and Defect Detection (4 papers), COVID-19 diagnosis using AI (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Industrial and Manufacturing Engineering (103 citations), Health Informatics (7 citations), Artificial Intelligence (148 citations) and Radiology, Nuclear Medicine and Imaging (92 citations). Qingfeng Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jianwei Niu, Jianbo Yu, Xuefeng Liu, Yong Wang, Chen Chen, Tao Ren, Mingliang Xu, Sajal K. Das, Hao Su and Q. M. Jonathan Wu. Their work appears in journals such as International Journal of Bio-Inspired Computation, Frontiers in Oncology, Applied Intelligence, Mathematics and Computers in Simulation and Neurocomputing.
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.