Cong He
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in ⓘ
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 3
-
- Long-Term Effects of COVID-19 2
- Co-authors
- Yihan Yu (2 shared papers)Wenguang Xia (2 shared papers)Bo Xu (2 shared papers)Anlu Wang (2 shared papers)Jixian Zhang (3 shared papers)Qing Miao (2 shared papers)Xiaosu Wang (1 shared paper)Yue Wu (1 shared paper)
- Journals
- Rhinology Journal (1 paper)Journal of Infection (1 paper)Theoretical and Applied Fracture Mechanics (1 paper)BMC Medical Informatics and Decision Making (1 paper)Journal of Multidisciplinary Healthcare (1 paper)
- Partner nations
- China
In The Last Decade
Cong He
13 papers receiving 344 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 212
- Neurology 139
- Gastroenterology 28
- Critical Care and Intensive Care Medicine 26
- Otorhinolaryngology 16
Countries citing papers authored by Cong He
This map shows the geographic impact of Cong He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong He more than expected).
Fields of papers citing papers by Cong He
This network shows the impact of papers produced by Cong He. 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 He. The network helps show where Cong He may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 225 | |
| 2 | 2021 | 37 | |
| 3 | 2023 | 17 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2024 | 4 | |
| 11 | The cerebral MRI findings in patients with acquired hepatocerebral degeneration | 2000 | 1 |
| 12 | 2025 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 |
About Cong He
Cong He is a scholar working on Infectious Diseases, Neurology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 14 papers that have together received 347 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 diagnosis using AI (2 papers), Metabolism and Genetic Disorders (1 paper), Dysphagia Assessment and Management (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Infectious Diseases (212 citations), Neurology (139 citations), Gastroenterology (28 citations), Critical Care and Intensive Care Medicine (26 citations) and Otorhinolaryngology (16 citations). Cong He has collaborated with scholars based in China. Frequent co-authors include Yihan Yu, Wenguang Xia, Bo Xu, Anlu Wang, Jixian Zhang, Qing Miao, Xiaosu Wang, Yue Wu, Tingting Xu and Xiaowen Liu. Their work appears in journals such as Rhinology Journal, Journal of Infection, Theoretical and Applied Fracture Mechanics, BMC Medical Informatics and Decision Making and Journal of Multidisciplinary Healthcare.
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.