Songyan Wang

1.6k citations
73 papers · 1.2k · h-index 20

Impact in

Papers in

Songyan Wang

65 papers receiving 1.2k citations

Peers

Songyan Wang
Comparison fields: 5 of 129
  • Endocrine and Autonomic Systems 78
  • Endocrinology, Diabetes and Metabolism 174
  • Cellular and Molecular Neuroscience 148
  • Water Science and Technology 96
  • Molecular Medicine 33
Replace Ruiqi Wang with:
Ruiqi Wang China
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Huixiang Liu China
Yijian Zhang China
Xinzhong Wang China
Bing Zhao China
Aiming Liu China
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Citations per field
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Ruiqi Wang · 1×
Citations per year

Countries citing papers authored by Songyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Songyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Songyan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Songyan Wang Line = papers co-authored together Songyan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2 2020109
3 202193
4 201060
5 201755
6 201954
7 202050
8 200143
9 201941
10 201535
11 202131
12 200330
13 201825
14 201825
15 202322
16 201321
17 201920
18 202220
19 201419
20 202419

About Songyan Wang

Songyan Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Surgery, Aerospace Engineering and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Power System Optimization and Stability (7 papers), Pancreatic function and diabetes (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Neuropeptides and Animal Physiology (5 papers), Power System Reliability and Maintenance (5 papers), Optimal Power Flow Distribution (5 papers), Diabetes Treatment and Management (5 papers) and Electrostatic Discharge in Electronics (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (78 citations), Endocrinology, Diabetes and Metabolism (174 citations), Cellular and Molecular Neuroscience (148 citations), Water Science and Technology (96 citations) and Molecular Medicine (33 citations). Songyan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiao–kun Ouyang, Burton M. Wice, Junhong Ling, Jilai Yu, Kenneth S. Polonsky, Eric L. Ford, Yuqing Lu, Wei Zhang, Patrick Tso and Aoife Foley. Their work appears in journals such as IEEE Access, International Journal of Biological Macromolecules, PLoS ONE, International Journal of Electrical Power & Energy Systems and IET Generation Transmission & Distribution.

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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