Weifang Kong
- Radiology, Nuclear Medicine and Imaging top 10%
- Infectious Diseases top 10%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Prachi AgarwalAamer ChughtaiHong PuYuting WangYanchang LiuLiqun ShanXiali HeiAparna Joshi
- Topics
- COVID-19 Clinical Research Studies (2 papers)COVID-19 and healthcare impacts (1 paper)SARS-CoV-2 and COVID-19 Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Weifang Kong
9 papers receiving 329 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 225
- Infectious Diseases 119
- Artificial Intelligence 86
- Pulmonary and Respiratory Medicine 50
- Neurology 43
Countries citing papers authored by Weifang Kong
This map shows the geographic impact of Weifang Kong'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 Weifang Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifang Kong more than expected).
Fields of papers citing papers by Weifang Kong
This network shows the impact of papers produced by Weifang Kong. 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 Weifang Kong. The network helps show where Weifang Kong may publish in the future.
Co-authorship network of co-authors of Weifang Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Weifang Kong. A scholar is included among the top collaborators of Weifang Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weifang Kong. Weifang Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 273 | |
| 8 | 12 | |
| 9 | 4 |
About Weifang Kong
Weifang Kong is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Emergency Medical Services, having authored 9 papers that have together received 340 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), COVID-19 and healthcare impacts (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (225 citations) and Infectious Diseases (119 citations). Weifang Kong has collaborated with scholars based in China and United States. Frequent co-authors include Prachi Agarwal, Aamer Chughtai, Hong Pu, Yuting Wang, Yanchang Liu, Liqun Shan, Xiali Hei, Aparna Joshi, Bhavin Jankharia and Sowmya Balasubramanian. Their work appears in journals such as Scientific Reports, Energies 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.