Victoria Chen

1.4k citations
16 papers · 1.0k indexed · 1 hit paper · h-index 10
Topics
2D Materials and Applications (5 papers)Advanced Memory and Neural Computing (4 papers)Ferroelectric and Negative Capacitance Devices (4 papers)

In The Last Decade

Victoria Chen

15 papers receiving 1.0k citations

Hit Papers

Electronic synapses made of layered two-dimensional mater...20182026202020232018100200300400500

Peers

Victoria Chen
Comparison fields: 5 of 53
  • Electrical and Electronic Engineering 772
  • Materials Chemistry 531
  • Cellular and Molecular Neuroscience 220
  • Polymers and Plastics 129
  • Biomedical Engineering 81
Replace Xiaohan Wu with:
Xiaohan Wu United States
Xianhu Liang China
Chao Wen China
Fuyou Liao China
Nicholas Trainor United States
Kaichen Zhu China
Yongmo Park United States
Zongliang Huo China
Daniele Garbin Belgium
Attilio Belmonte Belgium
Victoria Chen relative to Xiaohan Wu United States Xiaohan Wu's profile →
Citations per field
00.5×1.5×
Xiaohan Wu · 1×
Citations per year

Countries citing papers authored by Victoria Chen

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Chen. A scholar is included among the top collaborators of Victoria Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victoria Chen. Victoria Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 15
3 9
4 31
5 4
6 13
7 2
8 102
9 10
10 114
11 128
12 0
13
Electronic synapses made of layered two-dimensional materialsbreakdown →
555
14 37
15 19
16 5

About Victoria Chen

Victoria Chen is a scholar working on Structural Biology, Human-Computer Interaction and Materials Chemistry, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include 2D Materials and Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (772 citations), Cellular and Molecular Neuroscience (220 citations) and Materials Chemistry (531 citations). Victoria Chen has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Eric Pop, Yuanyuan Shi, Mario Lanza, Xianhu Liang, Fei Hui, H.‐S. Philip Wong, Bin Yuan, Zhouchangwan Yu, Haitong Li and Fang Yuan. Their work appears in journals such as Advanced Materials, Nature Communications and Nano Letters.

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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