Qing Cheng

1.2k total citations
46 papers, 760 citations indexed

About

Qing Cheng is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Qing Cheng has authored 46 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Molecular Biology and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Qing Cheng's work include Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and COVID-19 epidemiological studies (4 papers). Qing Cheng is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and COVID-19 epidemiological studies (4 papers). Qing Cheng collaborates with scholars based in China, United States and Sweden. Qing Cheng's co-authors include H. Kim Lyerly, Xinyuan Liu, Jincai Huang, Monika L. Burness, Ayelet Sivan, Zhong Liu, Mary V. Relling, John L. Magnani, Trevor Price and Chad M. McCall and has published in prestigious journals such as Nature Medicine, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Qing Cheng

41 papers receiving 749 citations

Peers

Qing Cheng
Comparison fields: 5 of 116
  • Oncology 280
  • Molecular Biology 230
  • Cancer Research 125
  • Immunology 81
  • Public Health, Environmental and Occupational Health 79
Replace Ying Dong with:
Ying Dong China
Chris Harbron United Kingdom
Ruitao Lin United States
Haiyan Xu Singapore
Fangyan Dai United States
Yasuyuki Sato Japan
M Krámer Netherlands
Georgina Hall United Kingdom
Stefano Moretti France
Hongkun Wang United States
Ying Dong China View profile →
Citations per field, relative to Qing Cheng
Qing Cheng · 1×
Citations per year, relative to Qing Cheng
Qing Cheng · 1×

Countries citing papers authored by Qing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Qing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cheng. A scholar is included among the top collaborators of Qing Cheng 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 Qing Cheng. Qing Cheng 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
# Work Indexed citations
1 2
2 0
3 0
4 3
5 0
6 2
7 8
8 10
9 8
10 18
11 10
12 13
13 9
14 45
15 14
16 5
17 62
18 85
19 57
20 7

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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