Weining Chen

1.4k citations
79 papers · 942 · h-index 17

Impact in

  • Aging top 10%
  • Biomaterials top 10%
    • Nanocomposite Films for Food Packaging
    • Advanced Cellulose Research Studies

Papers in

Weining Chen

65 papers receiving 928 citations

Peers

Weining Chen
Comparison fields: 5 of 141
  • Aging 32
  • Biomaterials 109
  • Renewable Energy, Sustainability and the Environment 113
  • Artificial Intelligence 134
  • Health Informatics 5
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Junyan Ma China
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Tong Zhou China
Zhiqi Lin China
Ulrich Krühne Denmark
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Weining Chen relative to Junyan Ma China Junyan Ma's profile →
Citations per field
00.5×4.5×
Junyan Ma · 1×
Citations per year

Countries citing papers authored by Weining Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weining Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020136
2 2019116
3 201865
4 199650
5 201550
6 200548
7 202136
8 202231
9 201926
10 201925
11 202224
12 201923
13 200823
14 199121
15 201119
16 202219
17 202116
18 199515
19 202211
20 201911

About Weining Chen

Weining Chen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Molecular Biology and Biomedical Engineering, having authored 79 papers that have together received 942 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Optical Systems and Laser Technology (7 papers), Advanced Measurement and Detection Methods (4 papers), Algal biology and biofuel production (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Stochastic Gradient Optimization Techniques (3 papers), IoT and Edge/Fog Computing (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Aging (32 citations), Biomaterials (109 citations), Renewable Energy, Sustainability and the Environment (113 citations), Artificial Intelligence (134 citations) and Health Informatics (5 citations). Weining Chen has collaborated with scholars based in China, Singapore and Taiwan. Frequent co-authors include Guili Zhao, Dong Wei, Louis Lim, Te-Cheng Hsu, Che Lin, Xi Cui, Xiaomei Lyu, Jaslyn Lee, Yu Tsao and Yu‐Heng Lai. Their work appears in journals such as IEEE Transactions on Information Theory, Photonics, Applied Optics, Remote Sensing and Bioresource Technology.

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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