Y. Wei

7.2k citations
13 papers · 304 · h-index 8

Impact in

    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Phytochemicals and Antioxidant Activities

Papers in

Y. Wei

12 papers receiving 282 citations

Peers

Y. Wei
Comparison fields: 5 of 92
  • Artificial Intelligence 141
  • Biochemistry 22
  • Information Systems 52
  • Applied Microbiology and Biotechnology 3
  • Genetics 16
Replace Steve Barker with:
Steve Barker United Kingdom
Hüseyin Demirci Türkiye
Xiaoyi Zhang China
Alexandra Moraru Slovenia
Eun Jong South Korea
Zijuan Zhao China
Xiqian Zhang China
Yuqing Tian China
Qiuyue Wang China
Jiaqi Chen China
Y. Wei relative to Steve Barker United Kingdom Steve Barker's profile →
Citations per field
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Citations per year

Countries citing papers authored by Y. Wei

Since Specialization
Citations

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

Fields of papers citing papers by Y. Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011156
2 200549
3 200730
4 201018
5 200715
6 201711
7 202210
8 20227
9
[Plasmid transfection of rat bone marrow mesenchymal stem cells by cationic lipid for gene-modified cell transplantation therapy].
20053
10 20242
11 20182
12 20211
13 20250

About Y. Wei

Y. Wei is a scholar working on Artificial Intelligence, Molecular Biology, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Immunology, having authored 13 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers), Tactile and Sensory Interactions (2 papers), Text and Document Classification Technologies (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Molecular spectroscopy and chirality (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Artificial Intelligence (141 citations), Biochemistry (22 citations), Information Systems (52 citations), Applied Microbiology and Biotechnology (3 citations) and Genetics (16 citations). Y. Wei has collaborated with scholars based in China, Germany and Slovenia. Frequent co-authors include Suge Wang, Deyu Li, Hongxia Li, Xiaolei Song, Guang Liu, Songliu Yuan, Weiguo Wang, Xianhuo Wang, Yong Zhang and Zhe Zheng. Their work appears in journals such as Cancer Letters, Expert Systems with Applications, Journal of Materials Chemistry C, Stem Cells and Development and Journal of Materials Chemistry A.

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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