Hongda Chen

1.9k total citations
92 papers, 1.5k citations indexed

About

Hongda Chen is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Hongda Chen has authored 92 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 30 papers in Cellular and Molecular Neuroscience and 27 papers in Biomedical Engineering. Recurrent topics in Hongda Chen's work include Neuroscience and Neural Engineering (30 papers), EEG and Brain-Computer Interfaces (18 papers) and Photonic and Optical Devices (13 papers). Hongda Chen is often cited by papers focused on Neuroscience and Neural Engineering (30 papers), EEG and Brain-Computer Interfaces (18 papers) and Photonic and Optical Devices (13 papers). Hongda Chen collaborates with scholars based in China, United States and Japan. Hongda Chen's co-authors include Beiju Huang, Weihua Pei, Xiongbin Chen, Qiang Kan, Yiyang Xie, Honglei Li, Chen Xu, Qiang Gui, Sheng Gan and Zhaoxin Geng and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Nature Nanotechnology.

In The Last Decade

Hongda Chen

90 papers receiving 1.5k citations

Peers

Hongda Chen
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 838
  • Biomedical Engineering 480
  • Materials Chemistry 371
  • Electronic, Optical and Magnetic Materials 278
  • Atomic and Molecular Physics, and Optics 276
G. Deligeorgis Greece
Liuyang Sun China
Jiebin Niu China
Yongai Zhang China
Wenbo Luo China
Jian‐Min Yan China
Hwan Sung Choe United States
Runzhang Xie China
Stéphane Xavier France
Li Gao China
G. Deligeorgis Greece View profile →
Citations per field, relative to Hongda Chen
Hongda Chen · 1×
Citations per year, relative to Hongda Chen
Hongda Chen · 1×

Countries citing papers authored by Hongda Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hongda Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongda Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hongda Chen. A scholar is included among the top collaborators of Hongda 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 Hongda Chen. Hongda 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
# Work Indexed citations
1 2
2 0
3 10
4 240
5 17
6 1
7 24
8 3
9 21
10 8
11 7
12 28
13 2
14 2
15 12
16 5
17 5
18 2
19 2
20 1

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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