Xin Yan

10.9k citations
332 papers · 9.1k · 3 hit papers · h-index 44

Impact in

Papers in

Xin Yan

311 papers receiving 8.9k citations

Xin Yan's Hit Papers

Progress in achieving high-performance piezoresistive and capacitive flexible pressure sensors: A review 2020 · 368 citations
3680+5+10Years since publication250500750

Peers

Xin Yan
Comparison fields: 5 of 146
  • Materials Chemistry 3.8k
  • Electrical and Electronic Engineering 4.4k
  • Biomedical Engineering 2.9k
  • Bioengineering 295
  • Atomic and Molecular Physics, and Optics 1.6k
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Citations per field
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Citations per year

Countries citing papers authored by Xin Yan

Since Specialization
Citations

This map shows the geographic impact of Xin Yan'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 Xin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Yan more than expected).

Fields of papers citing papers by Xin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Yan. 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 Xin Yan. The network helps show where Xin Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Xin Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xin Yan Line = papers co-authored together Xin Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 332 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large, Solution-Processable Graphene Quantum Dots as Light Absorbers for Photovoltaics
Hit paper breakdown →
2010827
2
Synthesis of Large, Stable Colloidal Graphene Quantum Dots with Tunable Size
Hit paper breakdown →
2010727
3
Progress in achieving high-performance piezoresistive and capacitive flexible pressure sensors: A review
Hit paper breakdown →
2020368
4 2010336
5 2010270
6 2011202
7 2012195
8 2009193
9 2019192
10 2021186
11 2013177
12 2005159
13 2017146
14 2010141
15 2018123
16 2004117
17 2018111
18 2020111
19 2009107
20 2021106

About Xin Yan

Xin Yan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 332 papers that have together received 9.1k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (138 papers), Photonic and Optical Devices (103 papers), Photonic Crystal and Fiber Optics (99 papers), Advanced Fiber Laser Technologies (65 papers), Optical Network Technologies (48 papers), Plasmonic and Surface Plasmon Research (37 papers), Semiconductor Lasers and Optical Devices (21 papers) and Graphene research and applications (19 papers). The work is most often cited by research in Materials Chemistry (3.8k citations), Electrical and Electronic Engineering (4.4k citations), Biomedical Engineering (2.9k citations), Bioengineering (295 citations) and Atomic and Molecular Physics, and Optics (1.6k citations). Xin Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Liang‐shi Li, Xiao Cui, Binsong Li, Xuenan Zhang, Takenobu Suzuki, Yasutake Ohishi, Shuguang Li, Tonglei Cheng, Wufan Chen and Meisong Liao. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Optics Express, Optics Communications and Applied Optics.

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.

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