Victoria Chen

23 total papers · 1.3k total citations
16 papers, 1.0k citations indexed

About

Victoria Chen is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Victoria Chen has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Victoria Chen's work include 2D Materials and Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Victoria Chen is often cited by papers focused on 2D Materials and Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Victoria Chen collaborates with scholars based in United States, China and Netherlands. Victoria Chen's co-authors include Eric Pop, Mario Lanza, Yuanyuan Shi, Fei Hui, Xianhu Liang, H.‐S. Philip Wong, Fang Yuan, Zhouchangwan Yu, Bin Yuan and Haitong Li and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Victoria Chen

15 papers receiving 1.0k citations

Hit Papers

Electronic synapses made ... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Victoria Chen 761 520 220 127 80 16 1.0k
Zhenhan Zhang 764 1.0× 348 0.7× 205 0.9× 126 1.0× 132 1.6× 22 932
Yongbiao Zhai 998 1.3× 533 1.0× 319 1.4× 213 1.7× 118 1.5× 51 1.2k
Cong Wang 836 1.1× 291 0.6× 260 1.2× 126 1.0× 138 1.7× 30 1.1k
Sonali Das 888 1.2× 611 1.2× 168 0.8× 152 1.2× 250 3.1× 24 1.1k
Jinbao Jiang 940 1.2× 508 1.0× 262 1.2× 152 1.2× 120 1.5× 37 1.2k
Kate J. Norris 880 1.2× 199 0.4× 325 1.5× 208 1.6× 48 0.6× 36 952
Akhil Dodda 617 0.8× 341 0.7× 183 0.8× 42 0.3× 148 1.9× 14 856
Christopher M. Neumann 618 0.8× 713 1.4× 55 0.3× 176 1.4× 81 1.0× 17 945
Scott W. Fong 693 0.9× 597 1.1× 72 0.3× 233 1.8× 139 1.7× 20 853
Sijung Yoo 823 1.1× 405 0.8× 229 1.0× 186 1.5× 70 0.9× 31 927

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

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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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