Peiyi Song

928 citations
30 papers · 709 indexed · h-index 14

Peiyi Song

30 papers receiving 702 citations

Peers

Peiyi Song
Comparison fields: 5 of 89
  • Polymers and Plastics 180
  • Biomedical Engineering 510
  • Pharmaceutical Science 46
  • Cellular and Molecular Neuroscience 97
  • Electronic, Optical and Magnetic Materials 93
Replace Rogelio Nuñez‐Flores with:
Rogelio Nuñez‐Flores United States
Ian Trase United States
Su‐Kyoung Kim South Korea
Moonjeong Bok South Korea
Soon Hyoung Hwang South Korea
Gunhee Lee South Korea
Wenzhuo Yu United States
Cheonhoo Jeon South Korea
Nicholas V. Apollo Australia
Peiyi Song relative to Rogelio Nuñez‐Flores United States Rogelio Nuñez‐Flores's profile →
Citations per field
00.5×1.5×
Rogelio Nuñez‐Flores · 1×
Citations per year

Countries citing papers authored by Peiyi Song

Since Specialization
Citations

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

Fields of papers citing papers by Peiyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Peiyi Song, 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 Peiyi Song Line = papers co-authored together Peiyi Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20246
3 202328
4 20234
5 202216
6 202213
7 202222
8 201937
9 2019117
10 201811
11 201845
12 201739
13 20172
14 20158
15 201511
16 20152
17 201427
18 20136
19 201327
20 20134

About Peiyi Song

Peiyi Song is a scholar working on Biomedical Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 709 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), 3D Printing in Biomedical Research (6 papers), Electrohydrodynamics and Fluid Dynamics (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Neuroscience and Neural Engineering (4 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Polymers and Plastics (180 citations), Biomedical Engineering (510 citations) and Pharmaceutical Science (46 citations). Peiyi Song has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Ken‐Tye Yong, Danny Jian Hang Tng, Guang Yang, Shuangyang Kuang, Nishtha Panwar, Rui Hu, Zhong Lin Wang, Guang Zhu, Swee Chuan Tjin and Chengbin Yang. Their work appears in journals such as Nature Communications, The Analyst, Review of Scientific Instruments, Nano Energy and Scientific 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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