Sheng Shi

1.1k citations
30 papers · 825 indexed · h-index 12
Topics
Domain Adaptation and Few-Shot Learning (3 papers)Statistical Methods and Inference (3 papers)Pregnancy and preeclampsia studies (2 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersACS Applied Materials & Interfaces
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Sheng Shi

27 papers receiving 805 citations

Peers

Sheng Shi
Comparison fields: 5 of 111
  • Molecular Biology 237
  • Polymers and Plastics 180
  • Materials Chemistry 178
  • Cancer Research 166
  • Electrical and Electronic Engineering 120
Replace Jinchun Zhang with:
Jinchun Zhang China
Weihao Zhang China
Jong Min Park South Korea
Xiaoyue Zhao China
Wei‐Chih Huang Taiwan
James H. Goldie Canada
Cong Dong China
Sheng Shi relative to Jinchun Zhang China Jinchun Zhang's profile →
Citations per field
00.5×5.8×
Jinchun Zhang · 1×
Citations per year

Countries citing papers authored by Sheng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Shi. A scholar is included among the top collaborators of Sheng Shi 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 Sheng Shi. Sheng Shi 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 0
2 0
3 4
4 1
5 2
6 5
7 15
8 243
9 34
10 25
11 4
12
Analysis on Codon and Codon-pair Usage Pattern in Five Silkworm Viruses
1
13 216
14 10
15 29
16 9
17 15
18
COMPARATIVE STUDIES OF PHOTOSYNTHETIC CHARACTERISTICS IN TYPICAL ALPINE PLANTS OF THE QINGHAI-TIBET PLATEAU
2
19 12
20 1

About Sheng Shi

Sheng Shi is a scholar working on Statistics and Probability, Internal Medicine and Obstetrics and Gynecology, having authored 30 papers that have together received 825 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Statistical Methods and Inference (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Polymers and Plastics (180 citations), Cancer Research (166 citations) and Statistics and Probability (53 citations). Sheng Shi has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Weimin Li, Chunlei Yang, Ming Chen, Chenghan Yi, Yun Dai, Gang Huang, Xiao Xiong, Xiao Sun, Jianjun Liu and Ke He. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026