Qinze Yu

445 citations
10 papers · 92 · h-index 5

Impact in

    • 2D Materials and Applications
    • MXene and MAX Phase Materials
    • RNA and protein synthesis mechanisms
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • Machine Learning in Bioinformatics
    • Protein Structure and Dynamics
    • CRISPR and Genetic Engineering

Papers in

    • 2D Materials and Applications 3
    • Graphene research and applications 3
    • ZnO doping and properties 1
    • Electronic and Structural Properties of Oxides 1
    • DNA and Nucleic Acid Chemistry 1

Qinze Yu

6 papers receiving 90 citations

Peers

Qinze Yu
Comparison fields: 5 of 30
  • Materials Chemistry 22
  • Molecular Biology 29
  • Metals and Alloys 1
  • Computational Theory and Mathematics 4
  • Immunology and Allergy 1
Replace Yingze Wang with:
Yingze Wang United States
Martin Vondrák Germany
Yudong Zhou China
Xiaoyan Jiang China
G. Kovacsova Germany
Vishwa Nellore United States
Justas Ritmejeris Netherlands
Yizhou Cai China
Qishuai Liu United States
Qinze Yu relative to Yingze Wang United States Yingze Wang's profile →
Citations per field
00.5×1.5×1.9×
Yingze Wang · 1×
Citations per year

Countries citing papers authored by Qinze Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qinze Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202438
2 202426
3 202315
4 20248
5 20214
6 20251
7 20260
8 20250
9 20250
10 20250

About Qinze Yu

Qinze Yu is a scholar working on Materials Chemistry, Molecular Biology, Microbiology, Infectious Diseases and Computer Networks and Communications, having authored 10 papers that have together received 92 indexed citations. Recurring topics across this work include 2D Materials and Applications (3 papers), Graphene research and applications (3 papers), Antimicrobial Peptides and Activities (2 papers), ZnO doping and properties (1 paper), Electronic and Structural Properties of Oxides (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Recommender Systems and Techniques (1 paper). The work is most often cited by research in Materials Chemistry (22 citations), Molecular Biology (29 citations), Metals and Alloys (1 citation), Computational Theory and Mathematics (4 citations) and Immunology and Allergy (1 citation). Qinze Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yu Li, Jingchen Li, Qingxiong Tan, Irwin King, Yang Ni, Lain‐Jong Li, Zhengtang Luo, Liang Hong, Jiacheng Min and Aarti Krishnan. Their work appears in journals such as Nature Computational Science, Bioinformatics, Nanomaterials, Advanced Materials and Physical Chemistry Chemical Physics.

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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