Jing Cao
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Natural Language Processing Techniques 9
- Authorship Attribution and Profiling 5
- Speech and dialogue systems 4
-
- Nanoplatforms for cancer theranostics 10
- Co-authors
- Pintong Huang (15 shared papers)Yu Sun (7 shared papers)Yiqing Zeng (7 shared papers)Jiali Luo (8 shared papers)Lixia Lou (13 shared papers)Tao Zhang (3 shared papers)Xue Wang (3 shared papers)Cong Zhang (3 shared papers)
- Journals
- Journal of Nanobiotechnology (3 papers)ACS Applied Materials & Interfaces (3 papers)Acta Ophthalmologica (3 papers)Frontiers in Medicine (3 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jing Cao
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Ophthalmology 134
- Biomaterials 176
- Biomedical Engineering 450
- Radiology, Nuclear Medicine and Imaging 204
- Health Informatics 12
Countries citing papers authored by Jing Cao
This map shows the geographic impact of Jing Cao'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 Jing Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Cao more than expected).
Fields of papers citing papers by Jing Cao
This network shows the impact of papers produced by Jing Cao. 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 Jing Cao. The network helps show where Jing Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Cao, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 93 | |
| 2 | 2022 | 86 | |
| 3 | 2021 | 67 | |
| 4 | 2020 | 65 | |
| 5 | 2019 | 61 | |
| 6 | 2021 | 61 | |
| 7 | 2020 | 59 | |
| 8 | 2021 | 55 | |
| 9 | 2020 | 47 | |
| 10 | 2022 | 40 | |
| 11 | 2020 | 37 | |
| 12 | 2021 | 34 | |
| 13 | 2021 | 34 | |
| 14 | 2023 | 28 | |
| 15 | 2021 | 27 | |
| 16 | 2022 | 27 | |
| 17 | 2011 | 27 | |
| 18 | 2023 | 26 | |
| 19 | 2021 | 24 | |
| 20 | 2019 | 22 |
About Jing Cao
Jing Cao is a scholar working on Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Oncology and Dermatology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (10 papers), Natural Language Processing Techniques (9 papers), Retinal Imaging and Analysis (6 papers), Authorship Attribution and Profiling (5 papers), Speech and dialogue systems (4 papers), Facial Rejuvenation and Surgery Techniques (4 papers), Retinal and Optic Conditions (3 papers) and Digital Media and Visual Art (2 papers). The work is most often cited by research in Ophthalmology (134 citations), Biomaterials (176 citations), Biomedical Engineering (450 citations), Radiology, Nuclear Medicine and Imaging (204 citations) and Health Informatics (12 citations). Jing Cao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pintong Huang, Yu Sun, Yiqing Zeng, Jiali Luo, Lixia Lou, Tao Zhang, Xue Wang, Cong Zhang, Alex Chengyu Fang and Kai Jin. Their work appears in journals such as Journal of Nanobiotechnology, ACS Applied Materials & Interfaces, Acta Ophthalmologica, Frontiers in Medicine and Frontiers in Oncology.
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.