Sichun Yang

2.4k citations
58 papers · 1.8k indexed · h-index 25
Topics
Enzyme Structure and Function (22 papers)Protein Structure and Dynamics (19 papers)Rough Sets and Fuzzy Logic (8 papers)

In The Last Decade

Sichun Yang

55 papers receiving 1.8k citations

Peers

Sichun Yang
Comparison fields: 5 of 123
  • Molecular Biology 1.4k
  • Materials Chemistry 611
  • Spectroscopy 269
  • Computational Theory and Mathematics 146
  • Oncology 138
Replace Lee‐Wei Yang with:
Lee‐Wei Yang Taiwan
Wolfgang Rieping France
Dale E. Tronrud United States
Eran Eyal Israel
Timothy R. Lezon United States
Ryuhei Harada Japan
Hidetoshi Kono Japan
Carlos X. Hernández United States
Charlie E. M. Strauss United States
Guillermo Pérez‐Hernández Germany
Sichun Yang relative to Lee‐Wei Yang Taiwan Lee‐Wei Yang's profile →
Citations per field
00.5×1.5×2.3×
Lee‐Wei Yang · 1×
Citations per year

Countries citing papers authored by Sichun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sichun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sichun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sichun Yang. A scholar is included among the top collaborators of Sichun Yang 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 Sichun Yang. Sichun Yang 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 6
2 0
3 2
4 2
5 3
6 1
7 4
8 24
9 36
10 13
11 45
12 10
13 15
14 74
15
Incremental double sequence algorithm of concept lattice union
2
16 13
17 0
18
A New Algorithm for Attribute Reduction Based on Discernible Matrix
2
19
An Improved Model for Sentence Similarity Computing
4
20 14

About Sichun Yang

Sichun Yang is a scholar working on Structural Biology, Molecular Biology and Computational Theory and Mathematics, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (22 papers), Protein Structure and Dynamics (19 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Structural Biology (34 citations), Molecular Biology (1.4k citations) and Spectroscopy (269 citations). Sichun Yang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Benoı̂t Roux, Herbert Levine, José N. Onuchic, Wei Huang, Lee Makowski, Krishnakumar M. Ravikumar, Mark R. Chance, Lydia Blachowicz, Nilesh K. Banavali and Sanghyun Park. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

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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