Lida Qiu
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
- Biophysics 10
- Advanced Fluorescence Microscopy Techniques 8
- Cell Image Analysis Techniques 5
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- Photoacoustic and Ultrasonic Imaging 9
- Co-authors
- Qingxiang Wu (3 shared papers)Jianxin Chen (20 shared papers)Lianhuang Li (18 shared papers)Deyong Kang (15 shared papers)Haohua Tu (8 shared papers)Liqin Zheng (8 shared papers)Wenhui Guo (6 shared papers)Gangqin Xi (9 shared papers)
- Journals
- Journal of Biophotonics (5 papers)Signal Processing Image Communication (2 papers)BMC Cancer (2 papers)Nature Communications (1 paper)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lida Qiu
26 papers receiving 321 citations
Peers
Comparison fields: 5 of 78
- Biophysics 75
- Media Technology 45
- Computer Vision and Pattern Recognition 89
- Oncology 67
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Lida Qiu
This map shows the geographic impact of Lida Qiu'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 Lida Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Qiu more than expected).
Fields of papers citing papers by Lida Qiu
This network shows the impact of papers produced by Lida Qiu. 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 Lida Qiu. The network helps show where Lida Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lida Qiu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2017 | 77 | |
| 3 | 2021 | 33 | |
| 4 | 2018 | 21 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 2 |
About Lida Qiu
Lida Qiu is a scholar working on Biophysics, Biomedical Engineering, Computer Vision and Pattern Recognition, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 327 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (9 papers), Advanced Fluorescence Microscopy Techniques (8 papers), Cell Image Analysis Techniques (5 papers), Breast Cancer Treatment Studies (4 papers), Image Processing Techniques and Applications (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Advanced Image Processing Techniques (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Biophysics (75 citations), Media Technology (45 citations), Computer Vision and Pattern Recognition (89 citations), Oncology (67 citations) and Radiology, Nuclear Medicine and Imaging (56 citations). Lida Qiu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qingxiang Wu, Jianxin Chen, Lianhuang Li, Deyong Kang, Haohua Tu, Liqin Zheng, Wenhui Guo, Gangqin Xi, Jiajia He and Fangmeng Fu. Their work appears in journals such as Journal of Biophotonics, Signal Processing Image Communication, BMC Cancer, Nature Communications and BMC Medicine.
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.