Yanxia Lin
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
- Biomedical Engineering top 10%
- Nanowire Synthesis and Applications
Papers in
-
- Carbon Nanotubes in Composites 9
- Graphene research and applications 5
-
- Advancements in Semiconductor Devices and Circuit Design 5
- Semiconductor materials and devices 3
- Advanced Memory and Neural Computing 2
- Co-authors
- Zhiyong Zhang (11 shared papers)Lian‐Mao Peng (8 shared papers)Mengmeng Xiao (4 shared papers)Jianping He (3 shared papers)Lijun Liu (2 shared papers)Lin Xu (4 shared papers)Guojun Zhang (1 shared paper)Ding Wu (1 shared paper)
- Journals
- ACS Nano (4 papers)ACS Applied Materials & Interfaces (3 papers)Advanced Functional Materials (2 papers)Nature Communications (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yanxia Lin
18 papers receiving 592 citations
Peers
Comparison fields: 5 of 74
- Bioengineering 92
- Biomedical Engineering 261
- Materials Chemistry 274
- Electrical and Electronic Engineering 308
- Electrochemistry 14
Countries citing papers authored by Yanxia Lin
This map shows the geographic impact of Yanxia Lin'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 Yanxia Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxia Lin more than expected).
Fields of papers citing papers by Yanxia Lin
This network shows the impact of papers produced by Yanxia Lin. 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 Yanxia Lin. The network helps show where Yanxia Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanxia Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | 2023 | 90 | |
| 3 | 2022 | 51 | |
| 4 | 2021 | 50 | |
| 5 | 2020 | 47 | |
| 6 | 2021 | 44 | |
| 7 | 2017 | 32 | |
| 8 | 2020 | 30 | |
| 9 | 2004 | 24 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 9 | |
| 12 | 2005 | 6 | |
| 13 | 2025 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2006 | 2 | |
| 19 | 2025 | 0 |
About Yanxia Lin
Yanxia Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Bioengineering, having authored 19 papers that have together received 603 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (9 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Graphene research and applications (5 papers), Nanowire Synthesis and Applications (3 papers), Mechanical and Optical Resonators (3 papers), Semiconductor materials and devices (3 papers), Analytical Chemistry and Sensors (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Bioengineering (92 citations), Biomedical Engineering (261 citations), Materials Chemistry (274 citations), Electrical and Electronic Engineering (308 citations) and Electrochemistry (14 citations). Yanxia Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiyong Zhang, Lian‐Mao Peng, Mengmeng Xiao, Jianping He, Lijun Liu, Lin Xu, Guojun Zhang, Ding Wu, Yuqi Liang and Chuanhong Jin. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces, Advanced Functional Materials, Nature Communications and Applied Physics Letters.
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.