Zhengdao Chen

1.4k citations
12 papers · 714 indexed · h-index 8
Topics
Biofuel production and bioconversion (4 papers)Fungal and yeast genetics research (4 papers)Complex Network Analysis Techniques (3 papers)

In The Last Decade

Zhengdao Chen

11 papers receiving 681 citations

Peers

Zhengdao Chen
Comparison fields: 5 of 70
  • Molecular Biology 565
  • Biomedical Engineering 515
  • Plant Science 117
  • Artificial Intelligence 54
  • Biotechnology 51
Replace Zak Costello with:
Zak Costello United States
Joonhoon Kim United States
Pratap R. Patnaik India
Marco J. L. de Groot Netherlands
Ruofan Wu China
Eva Grafahrend‐Belau Germany
Qiong Dai China
Matthew DeJongh United States
Egils Stalidzāns Latvia
Haijiao Wang China
Zhengdao Chen relative to Zak Costello United States Zak Costello's profile →
Citations per field
00.5×4.2×
Zak Costello · 1×
Citations per year

Countries citing papers authored by Zhengdao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhengdao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengdao Chen

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2
On Graph Neural Networks versus Graph-Augmented MLPs
1
3 1
4
Symplectic Recurrent Neural Networks
14
5 46
6
Supervised community detection with line graph neural networks
52
7
Supervised Community Detection with Hierarchical Graph Neural Networks
2
8 45
9 90
10 417
11 30
12 16

About Zhengdao Chen

Zhengdao Chen is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Microbiology, having authored 12 papers that have together received 714 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (4 papers), Fungal and yeast genetics research (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Biomedical Engineering (515 citations), Molecular Biology (565 citations) and Biotechnology (51 citations). Zhengdao Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Nancy W. Y. Ho, Miroslav Sedlák, Joan Bruna, Lisha Li, Wenzhu Jiang, Mingdi Bian, Hui Yu, Qing Liu, Hui Zhang and Léon Bottou. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and The Plant Journal.

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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