Shaopeng Gu

562 citations
10 papers · 403 indexed · h-index 8
Topics
Perovskite Materials and Applications (3 papers)Conducting polymers and applications (3 papers)Artificial Intelligence in Healthcare (1 paper)
Partner nations
United StatesChinaIndia

In The Last Decade

Shaopeng Gu

10 papers receiving 397 citations

Peers

Shaopeng Gu
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 215
  • Polymers and Plastics 137
  • Materials Chemistry 107
  • Molecular Biology 99
  • Artificial Intelligence 35
Replace Chi-Yu Yang with:
Chi-Yu Yang Taiwan
Daidi Zhong China
Vince S. Siu United States
Qiong Qi China
Mahsa Faramarzpour Iran
Benoît Baillif United Kingdom
Richard J. Coles New Zealand
Patrick Weiß Germany
Ziyu Li China
Edward J. Beard United Kingdom
Shaopeng Gu relative to Chi-Yu Yang Taiwan Chi-Yu Yang's profile →
Citations per field
00.5×3.7×
Chi-Yu Yang · 1×
Citations per year

Countries citing papers authored by Shaopeng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Shaopeng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaopeng Gu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 14
2 93
3 5
4 44
5 8
6
Applying Machine Learning Algorithms for the Analysis of Biological Sequences and Medical Records
1
7 21
8 17
9 101
10 99

About Shaopeng Gu

Shaopeng Gu is a scholar working on Health Information Management, Polymers and Plastics and Biophysics, having authored 10 papers that have together received 403 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (3 papers), Conducting polymers and applications (3 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Polymers and Plastics (137 citations), Health Information Management (21 citations) and Electrical and Electronic Engineering (215 citations). Shaopeng Gu has collaborated with scholars based in United States, China and India. Frequent co-authors include Nirmal Adhikari, Qiquan Qiao, Ashish Dubey, Adam McDermaid, Jing Zhao, Devendra Khatiwada, Lal Mohammad, Qi Wang, Mukesh Kumar and Swaminathan Venkatesan. Their work appears in journals such as Nature Communications, The American Journal of Medicine and Nanoscale.

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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