Yi Xia
Impact in
- Developmental Neuroscience top 5%
-
- Neonatal and fetal brain pathology
Papers in
-
- Quantum Information and Cryptography 4
- Co-authors
- Yün Chi (5 shared papers)Yirong Yang (5 shared papers)Tsuyomu Ikenoue (6 shared papers)Richard R. Muntz (5 shared papers)Tomoaki Ikeda (6 shared papers)Quntao Zhuang (8 shared papers)Zheshen Zhang (8 shared papers)Wei Li (3 shared papers)
- Journals
- NeuroImage Clinical (3 papers)Journal of Affective Disorders (3 papers)Journal of Psychiatric Research (3 papers)Physical Review Letters (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Yi Xia
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Developmental Neuroscience 88
- Pediatrics, Perinatology and Child Health 194
- Neurology 75
- Endocrine and Autonomic Systems 57
- Information Systems 221
Countries citing papers authored by Yi Xia
This map shows the geographic impact of Yi Xia'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 Yi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Xia more than expected).
Fields of papers citing papers by Yi Xia
This network shows the impact of papers produced by Yi Xia. 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 Yi Xia. The network helps show where Yi Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Xia, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 116 | |
| 2 | 2005 | 98 | |
| 3 | 2020 | 95 | |
| 4 | 2004 | 84 | |
| 5 | 2012 | 73 | |
| 6 | 2023 | 72 | |
| 7 | 2011 | 60 | |
| 8 | 2003 | 57 | |
| 9 | 2000 | 53 | |
| 10 | 2002 | 52 | |
| 11 | 2013 | 46 | |
| 12 | 2014 | 38 | |
| 13 | 1998 | 33 | |
| 14 | 2021 | 32 | |
| 15 | 2021 | 30 | |
| 16 | 2011 | 30 | |
| 17 | 2023 | 29 | |
| 18 | 2013 | 20 | |
| 19 | 1999 | 19 | |
| 20 | 2019 | 19 |
About Yi Xia
Yi Xia is a scholar working on Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (5 papers), Nerve injury and regeneration (5 papers), Data Mining Algorithms and Applications (5 papers), Quantum Information and Cryptography (4 papers), Advanced MEMS and NEMS Technologies (4 papers), Mechanical and Optical Resonators (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Developmental Neuroscience (88 citations), Pediatrics, Perinatology and Child Health (194 citations), Neurology (75 citations), Endocrine and Autonomic Systems (57 citations) and Information Systems (221 citations). Yi Xia has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Yün Chi, Yirong Yang, Tsuyomu Ikenoue, Richard R. Muntz, Tomoaki Ikeda, Quntao Zhuang, Zheshen Zhang, Wei Li, Katsunori Iwasaki and Tetsuya Yoshikawa. Their work appears in journals such as NeuroImage Clinical, Journal of Affective Disorders, Journal of Psychiatric Research, Physical Review Letters and IEEE Transactions on Knowledge and Data Engineering.
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.