Yuechen Wang

1.3k citations
44 papers · 729 · h-index 17

Impact in

Papers in

    • Protein Degradation and Inhibitors 5
    • Ubiquitin and proteasome pathways 5
    • Mitochondrial Function and Pathology 4
    • Graphene research and applications 5

Yuechen Wang

38 papers receiving 707 citations

Peers

Yuechen Wang
Comparison fields: 5 of 116
  • Aging 19
  • Human-Computer Interaction 59
  • Materials Chemistry 220
  • Computer Vision and Pattern Recognition 90
  • Biomedical Engineering 135
Replace Kazutaka Mitobe with:
Kazutaka Mitobe Japan
Dong Uk Kim South Korea
Zitian Chen China
Sung‐Keun Lee South Korea
Xiaoyu Hou China
Jaewoo Lim South Korea
Ki-Hong Kim South Korea
Anzhi Wang China
Aiying Guo China
Yuechen Wang relative to Kazutaka Mitobe Japan Kazutaka Mitobe's profile →
Citations per field
00.5×10×15×21.5×
Kazutaka Mitobe · 1×
Citations per year

Countries citing papers authored by Yuechen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuechen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202079
2 202173
3 202163
4 202440
5 202440
6 202339
7 202337
8 202137
9 202031
10 202128
11 201927
12 201321
13 202020
14 201618
15 202217
16 201917
17 202016
18 201915
19 201913
20 202012

About Yuechen Wang

Yuechen Wang is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 44 papers that have together received 729 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Graphene research and applications (5 papers), Ubiquitin and proteasome pathways (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Mitochondrial Function and Pathology (4 papers), GNSS positioning and interference (3 papers), Antifungal resistance and susceptibility (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Aging (19 citations), Human-Computer Interaction (59 citations), Materials Chemistry (220 citations), Computer Vision and Pattern Recognition (90 citations) and Biomedical Engineering (135 citations). Yuechen Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhongfan Liu, Houqiang Li, Wengang Zhou, Luzhao Sun, Yanglizhi Li, Hailin Peng, Weichao Zhao, Hezhen Hu, Haiyang Liu and Zuobin Zhu. Their work appears in journals such as ACS Chemical Biology, Journal of the American Chemical Society, ACS Nano, Frontiers in Genetics and International Journal of Biological Macromolecules.

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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