Xiangfei Meng
- Psychiatry and Mental health top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Physiology top 5%
- Artificial Intelligence top 5%
- Neurology top 2%
- Co-authors
- Carl D’ArcyJin‐Tai YuChen‐Chen TanLan TanHui-Fu WangMeng‐Shan TanChong WangShuai Wang
- Topics
- Dementia and Cognitive Impairment Research (15 papers)Frailty in Older Adults (4 papers)Nutritional Studies and Diet (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiangfei Meng
27 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Psychiatry and Mental health 833
- Radiology, Nuclear Medicine and Imaging 684
- Physiology 491
- Artificial Intelligence 424
- Neurology 321
Countries citing papers authored by Xiangfei Meng
This map shows the geographic impact of Xiangfei Meng'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 Xiangfei Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangfei Meng more than expected).
Fields of papers citing papers by Xiangfei Meng
This network shows the impact of papers produced by Xiangfei Meng. 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 Xiangfei Meng. The network helps show where Xiangfei Meng may publish in the future.
Co-authorship network of co-authors of Xiangfei Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangfei Meng. A scholar is included among the top collaborators of Xiangfei Meng 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 Xiangfei Meng. Xiangfei Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 22 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 39 | |
| 10 | 27 | |
| 11 | A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)breakdown → | 699 |
| 12 | 15 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 155 | |
| 16 | 111 | |
| 17 | 109 | |
| 18 | Education and Dementia in the Context of the Cognitive Reserve Hypothesis: A Systematic Review with Meta-Analyses and Qualitative Analysesbreakdown → | 606 |
| 19 | 8 | |
| 20 | 4 |
About Xiangfei Meng
Xiangfei Meng is a scholar working on Health Informatics, Psychiatry and Mental health and Geriatrics and Gerontology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (15 papers), Frailty in Older Adults (4 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Health Informatics (139 citations), Psychiatry and Mental health (833 citations) and Neurology (321 citations). Xiangfei Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Carl D’Arcy, Jin‐Tai Yu, Chen‐Chen Tan, Lan Tan, Hui-Fu Wang, Meng‐Shan Tan, Chong Wang, Shuai Wang, Jingyi Yang and Mingming Xiao. Their work appears in journals such as PLoS ONE, Journal of Materials Chemistry A and Journal of Experimental Botany.
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.