Xiaochen Xun

1.2k citations
28 papers · 997 · h-index 16

Impact in

Papers in

Xiaochen Xun

27 papers receiving 982 citations

Peers

Xiaochen Xun
Comparison fields: 5 of 65
  • Polymers and Plastics 445
  • Biomedical Engineering 688
  • Cognitive Neuroscience 232
  • Electronic, Optical and Magnetic Materials 220
  • Human-Computer Interaction 32
Replace Wonkyeong Son with:
Wonkyeong Son South Korea
Binghao Liang China
Seulah Lee South Korea
Xingyi Dai China
Yujue Yang Hong Kong
Zhengguang Yan China
Hsing‐Mei Wu Taiwan
Chunyang Jia China
Xianzhang Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Xiaochen Xun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Xun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaochen Xun, 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 Xiaochen Xun Line = papers co-authored together Xiaochen Xun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 2018122
3 2020119
4 202084
5 202174
6 202164
7 202258
8 202252
9 201738
10 202231
11 202129
12 202029
13 202323
14 202223
15 202415
16 201915
17 202114
18 202312
19 201810
20 20219

About Xiaochen Xun

Xiaochen Xun is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 28 papers that have together received 997 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (21 papers), Tactile and Sensory Interactions (9 papers), Conducting polymers and applications (7 papers), Advanced Memory and Neural Computing (4 papers), Electromagnetic wave absorption materials (3 papers), Advanced Antenna and Metasurface Technologies (3 papers), Supercapacitor Materials and Fabrication (3 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Polymers and Plastics (445 citations), Biomedical Engineering (688 citations), Cognitive Neuroscience (232 citations), Electronic, Optical and Magnetic Materials (220 citations) and Human-Computer Interaction (32 citations). Xiaochen Xun has collaborated with scholars based in China and United States. Frequent co-authors include Xuan Zhao, Qingliang Liao, Zhuo Kang, Zheng Zhang, Yue Zhang, Liangxu Xu, Bin Zhao, Fangfang Gao, Fangfang Gao and Yue Zhang. Their work appears in journals such as Advanced Functional Materials, Nano Energy, Nano Research, ACS Nano and Materials Science and Engineering R Reports.

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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