Sheng Qian

687 citations
27 papers · 341 indexed · h-index 10
Topics
Generative Adversarial Networks and Image Synthesis (4 papers)Online and Blended Learning (4 papers)Innovative Teaching and Learning Methods (3 papers)

In The Last Decade

Sheng Qian

25 papers receiving 331 citations

Peers

Sheng Qian
Comparison fields: 5 of 115
  • Artificial Intelligence 78
  • Computer Vision and Pattern Recognition 65
  • Molecular Biology 62
  • Genetics 38
  • Education 29
Replace José Sántos with:
José Sántos Spain
An Wang China
Javier González United Kingdom
Karolj Skala Croatia
C. Paul Bonnington New Zealand
Stefan Wegenkittl Austria
Stefan Janaqi France
Cheng Qian China
Kun Lan China
Zhaoshi Meng United States
Sheng Qian relative to José Sántos Spain José Sántos's profile →
Citations per field
00.5×5.1×
José Sántos · 1×
Citations per year

Countries citing papers authored by Sheng Qian

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Qian. A scholar is included among the top collaborators of Sheng Qian 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 Qian. Sheng Qian 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 28
2 0
3 18
4 7
5 1
6 1
7 4
8 22
9 23
10 17
11 3
12 11
13 126
14
Empirical methods to determine the rock masses parameters
4
15 2
16 13
17 1
18 1
19 1
20
NUMERICAL SIMULATION ON STRAIN LOCALIZATION OF END CONSTRAINT OF ROCK SPECIMEN
3

About Sheng Qian

Sheng Qian is a scholar working on Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Media Technology, having authored 27 papers that have together received 341 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Online and Blended Learning (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (65 citations), Artificial Intelligence (78 citations) and Ophthalmology (22 citations). Sheng Qian has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hau−San Wong, Si Wu, Cheng Liu, Lam For Kwok, Xin He, Haiyuan Yu, Siqi Liang, Chen Li, Wesley L. Crouse and Kaixuan Luo. Their work appears in journals such as Nature Genetics, PLoS ONE and Cell Reports.

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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