Song Qing

608 total citations
33 papers, 453 citations indexed

About

Song Qing is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Song Qing has authored 33 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 5 papers in Information Systems. Recurrent topics in Song Qing's work include Neural Networks and Applications (6 papers), Machine Learning and ELM (4 papers) and Face and Expression Recognition (4 papers). Song Qing is often cited by papers focused on Neural Networks and Applications (6 papers), Machine Learning and ELM (4 papers) and Face and Expression Recognition (4 papers). Song Qing collaborates with scholars based in China, Singapore and United States. Song Qing's co-authors include Hong Yuan, Bolun Yang, Qing Shu, Gangli Zhu, Xulei Yang, Jizhong Xiao, Yeng Chai Soh, Xiangjun Li, Xinping Zhang and Pei‐Chann Chang and has published in prestigious journals such as Journal of Applied Polymer Science, Biomedicine & Pharmacotherapy and Artificial Intelligence Review.

In The Last Decade

Song Qing

27 papers receiving 431 citations

Peers

Song Qing
Comparison fields: 5 of 92
  • Biomedical Engineering 179
  • Mechanical Engineering 151
  • Artificial Intelligence 140
  • Control and Systems Engineering 56
  • Molecular Biology 55
Replace Hong Gao with:
Hong Gao China
Xiaolong Zhu China
Xiaokai Liu China
Rakesh Angira India
Qinwei Fan China
S. Paszczynski Poland
Yuqing Chang China
Li Zha China
Hong Gao China View profile →
Citations per field, relative to Song Qing
Song Qing · 1×
Citations per year, relative to Song Qing
Song Qing · 1×

Countries citing papers authored by Song Qing

Since Specialization
Citations

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

Fields of papers citing papers by Song Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Qing

This figure shows the co-authorship network connecting the top 25 collaborators of Song Qing. A scholar is included among the top collaborators of Song Qing 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 Song Qing. Song Qing 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 0
2 7
3 20
4 3
5 2
6 0
7
[Expression levels of miR-181c-3p and miR-5692b in esophageal cancer and their clinical significance].
4
8 3
9 17
10
Survey on Network Security Situation Awareness
0
11 47
12 8
13
The verifying test of refueling system of the China experimental fast reactor
3
14 188
15 52
16 2
17 1
18 13
19
Principle and engineering realization of Hall switch sensor
0
20 44

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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