Hu Yan

86 papers receiving 2.7k citations

Peers

Hu Yan
Comparison fields: 5 of 94
  • Polymers and Plastics 1.2k
  • Surfaces, Coatings and Films 386
  • Bioengineering 183
  • Biomedical Engineering 1.1k
  • Materials Chemistry 963
Replace José Alberto Giacometti with:
José Alberto Giacometti Brazil
Rajeev Kumar United States
Rachel Yerushalmi‐Rozen Israel
Christopher J. Durning United States
Davide Comoretto Italy
Jihoon Choi South Korea
Amalie L. Frischknecht United States
Roberto Mendonça Faria Brazil
Xun Zhou China
M. Hara United States
Hu Yan relative to José Alberto Giacometti Brazil José Alberto Giacometti's profile →
Citations per field
00.5×1.5×1.9×
José Alberto Giacometti · 1×
Citations per year

Countries citing papers authored by Hu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017352
2 2008240
3 2005197
4 2002160
5 2009146
6 2001128
7 2022106
8 199970
9 200869
10 200565
11 200964
12 200658
13 200756
14 200956
15 201949
16 200649
17 200947
18 199442
19 200639
20 199537

About Hu Yan

Hu Yan is a scholar working on Polymers and Plastics, Bioengineering, Biomedical Engineering, Electrical and Electronic Engineering and Surfaces, Coatings and Films, having authored 88 papers that have together received 2.8k indexed citations. Recurring topics across this work include Conducting polymers and applications (33 papers), Advanced Sensor and Energy Harvesting Materials (31 papers), Organic Electronics and Photovoltaics (23 papers), Analytical Chemistry and Sensors (12 papers), Advanced Memory and Neural Computing (10 papers), Surface Modification and Superhydrophobicity (9 papers), Electrochemical sensors and biosensors (8 papers) and Semiconductor materials and devices (8 papers). The work is most often cited by research in Polymers and Plastics (1.2k citations), Surfaces, Coatings and Films (386 citations), Bioengineering (183 citations), Biomedical Engineering (1.1k citations) and Materials Chemistry (963 citations). Hu Yan has collaborated with scholars based in Japan, China and France. Frequent co-authors include Hidenori Okuzaki, Naoki Toshima, Kaoru Tsujii, Hiroyuki Mayama, Liduo Wang, Guifang Dong, Yong Qiu, John S. Tse, Xue Yong and Zhongyi Liu. Their work appears in journals such as Synthetic Metals, Chemistry Letters, Japanese Journal of Applied Physics, Polymer Journal and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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