Chaoran Liu

2.4k citations
85 papers · 1.9k · h-index 25

Impact in

Papers in

Chaoran Liu

79 papers receiving 1.8k citations

Peers

Chaoran Liu
Comparison fields: 5 of 131
  • Polymers and Plastics 426
  • Surfaces, Coatings and Films 181
  • Biomedical Engineering 1.0k
  • Cognitive Neuroscience 230
  • Food Science 182
Replace Min Gong with:
Min Gong China
Zequn Cui China
Yunteng Cao United States
Yongxin Zhang China
Weidong Yu China
Junseong Ahn South Korea
Muthukumaran Packirisamy Canada
Rahim Rahimi United States
Shingo Maeda Japan
Hyun‐Hee Lee South Korea
Chaoran Liu relative to Min Gong China Min Gong's profile →
Citations per field
00.5×1.5×
Min Gong · 1×
Citations per year

Countries citing papers authored by Chaoran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017150
2 2020138
3 2017118
4 2022113
5 2019107
6 202272
7 202366
8 202164
9 201664
10 202262
11 202255
12 201853
13 201953
14 202251
15 201250
16 201949
17 202041
18 202437
19 202130
20 202029

About Chaoran Liu

Chaoran Liu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Mechanical Engineering and Materials Chemistry, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (30 papers), Tactile and Sensory Interactions (17 papers), Conducting polymers and applications (10 papers), Innovative Energy Harvesting Technologies (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), Nanowire Synthesis and Applications (8 papers), Supercapacitor Materials and Fabrication (7 papers) and Nanofabrication and Lithography Techniques (6 papers). The work is most often cited by research in Polymers and Plastics (426 citations), Surfaces, Coatings and Films (181 citations), Biomedical Engineering (1.0k citations), Cognitive Neuroscience (230 citations) and Food Science (182 citations). Chaoran Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zuankai Wang, Xiaofeng Zhou, Lufeng Che, Linxi Dong, Gaofeng Wang, Weihuang Yang, Dujuan Li, Jing Li, Kai Fan and Jing Sun. Their work appears in journals such as IEEE Sensors Journal, Nano Energy, Journal of Electroanalytical Chemistry, Cell Reports Physical Science and Food Hydrocolloids.

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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