Qiu Bi
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
Papers in
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- Endometrial and Cervical Cancer Treatments 13
- Uterine Myomas and Treatments 3
-
- Ovarian cancer diagnosis and treatment 4
- Endometriosis Research and Treatment 2
- Co-authors
- Kunhua Wu (8 shared papers)Junna Wang (3 shared papers)Yu‐Hui Chen (2 shared papers)Ying Zhao (2 shared papers)Fajin Lv (3 shared papers)Yiqing Shen (3 shared papers)Zhibo Xiao (4 shared papers)Yang Song (5 shared papers)
- Journals
- Frontiers in Oncology (5 papers)Academic Radiology (5 papers)Abdominal Radiology (3 papers)Medicine (1 paper)European Radiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Qiu Bi
23 papers receiving 266 citations
Peers
Comparison fields: 5 of 40
- Obstetrics and Gynecology 149
- Reproductive Medicine 45
- Health Informatics 6
- Hepatology 19
- Radiology, Nuclear Medicine and Imaging 49
Countries citing papers authored by Qiu Bi
This map shows the geographic impact of Qiu Bi'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 Qiu Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiu Bi more than expected).
Fields of papers citing papers by Qiu Bi
This network shows the impact of papers produced by Qiu Bi. 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 Qiu Bi. The network helps show where Qiu Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiu Bi, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2023 | 29 | |
| 3 | 2018 | 27 | |
| 4 | 2023 | 25 | |
| 5 | 2020 | 23 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 17 | |
| 8 | 2022 | 16 | |
| 9 | The westward extension of Comei fragmented large igneous province in southern Tibet and its implications | 2010 | 14 |
| 10 | 2021 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Qiu Bi
Qiu Bi is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Artificial Intelligence, Pulmonary and Respiratory Medicine and Epidemiology, having authored 25 papers that have together received 277 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (13 papers), Ovarian cancer diagnosis and treatment (4 papers), Uterine Myomas and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Endometriosis Research and Treatment (2 papers), AI in cancer detection (2 papers), Geological and Geophysical Studies (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Obstetrics and Gynecology (149 citations), Reproductive Medicine (45 citations), Health Informatics (6 citations), Hepatology (19 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Qiu Bi has collaborated with scholars based in China and United States. Frequent co-authors include Kunhua Wu, Junna Wang, Yu‐Hui Chen, Ying Zhao, Fajin Lv, Yiqing Shen, Zhibo Xiao, Yang Song, Chunxia Zou and Haiming Li. Their work appears in journals such as Frontiers in Oncology, Academic Radiology, Abdominal Radiology, Medicine and European Radiology.
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.