Chenyu Jin

863 citations
28 papers · 661 · h-index 13

Impact in

Papers in

Chenyu Jin

28 papers receiving 657 citations

Peers

Chenyu Jin
Comparison fields: 5 of 90
  • Condensed Matter Physics 274
  • Microbiology 61
  • Surfaces, Coatings and Films 50
  • Biomedical Engineering 207
  • Biomaterials 62
Replace Jie Cui with:
Jie Cui China
Rudolf Weeber Germany
Lasse Højlund Eklund Thamdrup Denmark
Prashant Agrawal United Kingdom
Fernando Martínez‐Pedrero Spain
Pedro A. Sánchez Austria
Melikhan Tanyeri United States
Youngkyun Jung South Korea
Kolattukudy P. Santo United States
Marcello Cavallaro United States
Chenyu Jin relative to Jie Cui China Jie Cui's profile →
Citations per field
00.5×10×15×20×22.8×
Jie Cui · 1×
Citations per year

Countries citing papers authored by Chenyu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenyu Jin, 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 Chenyu Jin Line = papers co-authored together Chenyu Jin 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 2017199
2 2018121
3 200945
4 200943
5 202237
6 202134
7 201730
8 201718
9 202317
10 201217
11 202416
12 201913
13 200912
14 201510
15 202010
16 20227
17 20236
18 20226
19 20234
20 20214

About Chenyu Jin

Chenyu Jin is a scholar working on Materials Chemistry, Biomedical Engineering, Condensed Matter Physics, Molecular Biology and Anesthesiology and Pain Medicine, having authored 28 papers that have together received 661 indexed citations. Recurring topics across this work include Micro and Nano Robotics (6 papers), Molecular Communication and Nanonetworks (5 papers), Mesoporous Materials and Catalysis (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Airway Management and Intubation Techniques (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Liquid Crystal Research Advancements (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Condensed Matter Physics (274 citations), Microbiology (61 citations), Surfaces, Coatings and Films (50 citations), Biomedical Engineering (207 citations) and Biomaterials (62 citations). Chenyu Jin has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Corinna C. Maass, Carsten Krüger, Shunai Che, Lu Han, Babak Vajdi Hokmabad, Hao Chen, Huibin Qiu, Mouhai Shu, Arnold J. T. M. Mathijssen and Qi Chen. Their work appears in journals such as Frontiers in Medicine, Physical Review Letters, Nature Communications, Biophysical Reviews and Food Science and Human Wellness.

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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