Cancheng Li

459 citations
26 papers · 325 · h-index 10

Impact in

Papers in

Cancheng Li

20 papers receiving 317 citations

Peers

Cancheng Li
Comparison fields: 5 of 82
  • Surfaces, Coatings and Films 43
  • Cognitive Neuroscience 100
  • Experimental and Cognitive Psychology 50
  • Health Informatics 5
  • Polymers and Plastics 39
Replace Jac Fredo Agastinose Ronickom with:
Jac Fredo Agastinose Ronickom India
Roberto Sánchez-Reolid Spain
Kangkyu Kwon South Korea
Lang Yin China
Hongyu Chen China
Keshav Thapa South Korea
Nagarajan Ganapathy India
Murtadha D. Hssayeni United States
Seung Min Lee South Korea
Theekshana Dissanayake Australia
Cancheng Li relative to Jac Fredo Agastinose Ronickom India Jac Fredo Agastinose Ronickom's profile →
Citations per field
00.5×10×15×21.5×
Jac Fredo Agastinose Ronickom · 1×
Citations per year

Countries citing papers authored by Cancheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Cancheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 201945
3 202041
4 202340
5 202136
6 202219
7 202317
8 202414
9 202210
10 20239
11 20229
12 20237
13 20246
14 20235
15 20214
16 20233
17 20243
18 20252
19 20232
20 20221

About Cancheng Li

Cancheng Li is a scholar working on Surfaces, Coatings and Films, Cognitive Neuroscience, Biomedical Engineering, Biomaterials and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 325 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (10 papers), EEG and Brain-Computer Interfaces (5 papers), Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (4 papers), Bamboo properties and applications (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Silicone and Siloxane Chemistry (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (43 citations), Cognitive Neuroscience (100 citations), Experimental and Cognitive Psychology (50 citations), Health Informatics (5 citations) and Polymers and Plastics (39 citations). Cancheng Li has collaborated with scholars based in China, United Kingdom and Sweden. Frequent co-authors include Tao Wang, Jicong Zhang, Zhiqing Yuan, Shujuan Liu, Hong Peng, Bin Hu, Xiping Hu, Juan Du, Qi Chang and Chuanyue Wang. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of Materials Science, Construction and Building Materials, The Chemical Record and Neurocomputing.

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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