Ran Yang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- Health Informatics top 10%
Papers in
-
- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 4
-
- Distributed and Parallel Computing Systems 4
- Peer-to-Peer Network Technologies 3
- Co-authors
- Wenbing Zeng (4 shared papers)Qiuxia Xiong (3 shared papers)Huan Liu (1 shared paper)Yong Luo (1 shared paper)Xianxiang Zhang (1 shared paper)Xiang Li (1 shared paper)Cailiang Gao (1 shared paper)Linli Chen (2 shared papers)
- Journals
- Energy Reports (2 papers)Journal of Computer Assisted Tomography (2 papers)Frontiers in Pediatrics (1 paper)Medicine (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Ran Yang
36 papers receiving 844 citations
Peers
Comparison fields: 5 of 96
- Infectious Diseases 330
- Health Informatics 21
- Critical Care and Intensive Care Medicine 62
- Radiology, Nuclear Medicine and Imaging 285
- Neurology 94
Countries citing papers authored by Ran Yang
This map shows the geographic impact of Ran Yang'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 Ran Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Yang more than expected).
Fields of papers citing papers by Ran Yang
This network shows the impact of papers produced by Ran Yang. 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 Ran Yang. The network helps show where Ran Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Yang, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 436 | |
| 2 | 2020 | 126 | |
| 3 | 2020 | 66 | |
| 4 | 2016 | 50 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 21 | |
| 7 | 2023 | 18 | |
| 8 | 2020 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2011 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2002 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 2017 | 4 |
About Ran Yang
Ran Yang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Cellular and Molecular Neuroscience, Epidemiology and Infectious Diseases, having authored 42 papers that have together received 875 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Neuroscience and Neural Engineering (4 papers), Distributed and Parallel Computing Systems (4 papers), COVID-19 Clinical Research Studies (3 papers), Peer-to-Peer Network Technologies (3 papers), Acute Ischemic Stroke Management (3 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Infectious Diseases (330 citations), Health Informatics (21 citations), Critical Care and Intensive Care Medicine (62 citations), Radiology, Nuclear Medicine and Imaging (285 citations) and Neurology (94 citations). Ran Yang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Wenbing Zeng, Qiuxia Xiong, Huan Liu, Yong Luo, Xianxiang Zhang, Xiang Li, Cailiang Gao, Linli Chen, Fang Zheng and Dajing Guo. Their work appears in journals such as Energy Reports, Journal of Computer Assisted Tomography, Frontiers in Pediatrics, Medicine 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.