Yuhan Chen

469 citations
23 papers · 325 · h-index 7

Impact in

Papers in

Yuhan Chen

19 papers receiving 319 citations

Peers

Yuhan Chen
Comparison fields: 5 of 83
  • Experimental and Cognitive Psychology 71
  • Global and Planetary Change 101
  • Sensory Systems 23
  • Cognitive Neuroscience 61
  • Social Psychology 42
Replace Lili Wu with:
Lili Wu China
Lanfang Liu China
Teresa Cervera Spain
Sergio Jarillo Australia
Wanzhen Chen China
Jiangang Liu China
José Luis Bermúdez Venezuela
Arto Haapala Finland
Kate S. Cecil United States
Daniel Jamieson Australia
Yuhan Chen relative to Lili Wu China Lili Wu's profile →
Citations per field
00.5×1.5×1.9×
Lili Wu · 1×
Citations per year

Countries citing papers authored by Yuhan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuhan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201297
2 201467
3 202256
4 202330
5 202419
6 202218
7 20247
8 20156
9 20144
10 20244
11 20224
12 20233
13 20242
14 20182
15 20221
16 20251
17 20221
18 20191
19 20251
20 20191

About Yuhan Chen

Yuhan Chen is a scholar working on Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering, Global and Planetary Change and Biomaterials, having authored 23 papers that have together received 325 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Urban Green Space and Health (2 papers), Conducting polymers and applications (2 papers), Digital Transformation in Industry (2 papers), biodegradable polymer synthesis and properties (2 papers), Luminescence and Fluorescent Materials (2 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (71 citations), Global and Planetary Change (101 citations), Sensory Systems (23 citations), Cognitive Neuroscience (61 citations) and Social Psychology (42 citations). Yuhan Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Klaus Mathiak, Martin Klasen, Xiyou Li, Li Shen, Nina Xiong, Jia Wang, Lu Sun, Shaodong Huang, Junping Zhang and Boyi Liang. Their work appears in journals such as Remote Sensing, Journal of Material Science and Technology, Colloid & Polymer Science, Polymer Degradation and Stability and Polymer.

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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