Shichen Liu
Impact in
-
- Hemoglobinopathies and Related Disorders
-
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 6
- Co-authors
- Michael I. Jordan (1 shared paper)Jianmin Wang (1 shared paper)Mingsheng Long (1 shared paper)Yu Wang (2 shared papers)Jiang Peng (2 shared papers)Jianhua Yang (2 shared papers)Jia Li (1 shared paper)Yun Zhu (1 shared paper)
- Journals
- Medicine (5 papers)Experimental Hematology (1 paper)Frontiers in Endocrinology (1 paper)Blood (1 paper)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shichen Liu
29 papers receiving 536 citations
Peers
Comparison fields: 5 of 108
- Genetics 69
- Biomaterials 70
- Computer Vision and Pattern Recognition 91
- Internal Medicine 12
- Hematology 40
Countries citing papers authored by Shichen Liu
This map shows the geographic impact of Shichen Liu'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 Shichen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shichen Liu more than expected).
Fields of papers citing papers by Shichen Liu
This network shows the impact of papers produced by Shichen Liu. 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 Shichen Liu. The network helps show where Shichen Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shichen Liu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generalized Zero-Shot Learning with Deep Calibration Network | 2018 | 107 |
| 2 | 2015 | 102 | |
| 3 | 2023 | 61 | |
| 4 | 2020 | 49 | |
| 5 | 2018 | 45 | |
| 6 | 2020 | 39 | |
| 7 | 2022 | 26 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2018 | 3 |
About Shichen Liu
Shichen Liu is a scholar working on Surgery, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 546 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Dialysis and Renal Disease Management (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Genetics (69 citations), Biomaterials (70 citations), Computer Vision and Pattern Recognition (91 citations), Internal Medicine (12 citations) and Hematology (40 citations). Shichen Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Michael I. Jordan, Jianmin Wang, Mingsheng Long, Yu Wang, Jiang Peng, Jianhua Yang, Jia Li, Yun Zhu, Quanyi Guo and Erdem Kucukal. Their work appears in journals such as Medicine, Experimental Hematology, Frontiers in Endocrinology, Blood and Blood Cells Molecules and Diseases.
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.