Zhongyi Hu
- Artificial Intelligence top 2%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yukun BaoTao XiongHui HuangZhenling CuiMinghai XuJunmei LuYuzhu GuoYang Li
- Topics
- Tuberculosis Research and Epidemiology (43 papers)Mycobacterium research and diagnosis (34 papers)Infectious Diseases and Tuberculosis (12 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Zhongyi Hu
118 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 563
- Infectious Diseases 524
- Epidemiology 423
- Molecular Biology 292
- Computer Vision and Pattern Recognition 275
Countries citing papers authored by Zhongyi Hu
This map shows the geographic impact of Zhongyi Hu'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 Zhongyi Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongyi Hu more than expected).
Fields of papers citing papers by Zhongyi Hu
This network shows the impact of papers produced by Zhongyi Hu. 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 Zhongyi Hu. The network helps show where Zhongyi Hu may publish in the future.
Co-authorship network of co-authors of Zhongyi Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyi Hu. A scholar is included among the top collaborators of Zhongyi Hu 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 Zhongyi Hu. Zhongyi Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 27 | |
| 11 | 60 | |
| 12 | 208 | |
| 13 | 30 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | Histocytology Observation on the Somatic Embryogenesis in Ananas comosus Callus | 10 |
| 18 | [Evaluation of pyrosequencing for the detection of rpoB gene mutation in Mycobacterium tuberculosis]. | 1 |
| 19 | Establishment a dual antibody sandwich ELISA to detect secretion protein of Mycobacterium tuberculosis | 1 |
| 20 | Evaluation of TB-SA antibody test in clinical diagnosis of tuberculosis | 1 |
About Zhongyi Hu
Zhongyi Hu is a scholar working on Infectious Diseases, Epidemiology and Computer Vision and Pattern Recognition, having authored 123 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (43 papers), Mycobacterium research and diagnosis (34 papers) and Infectious Diseases and Tuberculosis (12 papers). The work is most often cited by research in Infectious Diseases (524 citations), Artificial Intelligence (563 citations) and Computer Vision and Pattern Recognition (275 citations). Zhongyi Hu has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Yukun Bao, Tao Xiong, Hui Huang, Zhenling Cui, Minghai Xu, Junmei Lu, Yuzhu Guo, Yang Li, Weigang Cui and Huiling Chen. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.