Cong Chao
Impact in
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- Algal biology and biofuel production
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
Papers in
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- Cardiac Imaging and Diagnostics 2
- Radiomics and Machine Learning in Medical Imaging 2
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- Chemical Thermodynamics and Molecular Structure 1
- Co-authors
- Jiying Wang (1 shared paper)Limin Zhang (1 shared paper)Chunxiao Sun (1 shared paper)Hongjin Qiao (1 shared paper)Yoko Kato (2 shared papers)Henrique Doria De Vasconcellos (2 shared papers)João A.C. Lima (2 shared papers)Xiukun Li (1 shared paper)
- Journals
- Dyes and Pigments (2 papers)Diabetes & Metabolic Syndrome Clinical Research & Reviews (1 paper)ChemElectroChem (1 paper)Polymers (1 paper)Aquaculture (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Cong Chao
18 papers receiving 261 citations
Peers
Comparison fields: 5 of 81
- Renewable Energy, Sustainability and the Environment 91
- Aquatic Science 29
- Process Chemistry and Technology 11
- Health Informatics 5
- Oceanography 30
Countries citing papers authored by Cong Chao
This map shows the geographic impact of Cong Chao'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 Cong Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Chao more than expected).
Fields of papers citing papers by Cong Chao
This network shows the impact of papers produced by Cong Chao. 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 Cong Chao. The network helps show where Cong Chao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Chao, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 88 | |
| 2 | 2023 | 29 | |
| 3 | 2023 | 22 | |
| 4 | 2019 | 22 | |
| 5 | 2014 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2018 | 10 | |
| 10 | 2022 | 7 | |
| 11 | 2007 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2016 | 0 |
About Cong Chao
Cong Chao is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Surgery, Artificial Intelligence and Biomedical Engineering, having authored 24 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (2 papers), Advanced Neural Network Applications (2 papers), Cardiac Imaging and Diagnostics (2 papers), Gestational Diabetes Research and Management (2 papers), Coronary Interventions and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Chemical Thermodynamics and Molecular Structure (1 paper) and Innovative Educational Techniques (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (91 citations), Aquatic Science (29 citations), Process Chemistry and Technology (11 citations), Health Informatics (5 citations) and Oceanography (30 citations). Cong Chao has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Jiying Wang, Limin Zhang, Chunxiao Sun, Hongjin Qiao, Yoko Kato, Henrique Doria De Vasconcellos, João A.C. Lima, Xiukun Li, Yang Song and Bharath Ambale‐Venkatesh. Their work appears in journals such as Dyes and Pigments, Diabetes & Metabolic Syndrome Clinical Research & Reviews, ChemElectroChem, Polymers and Aquaculture.
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.