Shaochuan Chen

1.7k citations
28 papers · 879 indexed · 2 hit papers · h-index 12
Topics
Advanced Memory and Neural Computing (20 papers)Ferroelectric and Negative Capacitance Devices (8 papers)Photoreceptor and optogenetics research (6 papers)
Partner nations
ChinaGermanyBulgaria

In The Last Decade

Shaochuan Chen

26 papers receiving 861 citations

Hit Papers

Wafer-scale integration of two-dimensional materials in h...202020262022202420202023100200300

Peers

Shaochuan Chen
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 794
  • Cellular and Molecular Neuroscience 273
  • Materials Chemistry 241
  • Polymers and Plastics 158
  • Cognitive Neuroscience 58
Replace Sijung Yoo with:
Sijung Yoo South Korea
Kate J. Norris United States
Marco A. Villena Spain
Han‐Wool Yeon South Korea
Damien Deleruyelle France
Rohit Soni Germany
Scott H. Tan United States
Cuiya Qin China
Zuoao Xiao Singapore
Florian Lentz Germany
Shaochuan Chen relative to Sijung Yoo South Korea Sijung Yoo's profile →
Citations per field
00.5×1.5×1.8×
Sijung Yoo · 1×
Citations per year

Countries citing papers authored by Shaochuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaochuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaochuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shaochuan Chen. A scholar is included among the top collaborators of Shaochuan 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 Shaochuan Chen. Shaochuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 1
4 7
5 0
6 4
7
Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challengesbreakdown →
104
8 1
9 0
10 10
11 9
12 1
13 50
14 6
15 37
16 30
17 23
18 11
19 75
20 11

About Shaochuan Chen

Shaochuan Chen is a scholar working on Electrochemistry, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 28 papers that have together received 879 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (20 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (273 citations), Electrical and Electronic Engineering (794 citations) and Polymers and Plastics (158 citations). Shaochuan Chen has collaborated with scholars based in China, Germany and Bulgaria. Frequent co-authors include Yuanyuan Shi, Mario Lanza, Fei Hui, Bin Yuan, Ilia Valov, Xianhu Liang, Chao Wen, Dmitri B. Strukov, Chandreswar Mahata and Mohammad Reza Mahmoodi. 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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