Yuan Pei

960 citations
25 papers · 633 · h-index 10

Impact in

Papers in

Yuan Pei

23 papers receiving 622 citations

Peers

Yuan Pei
Comparison fields: 5 of 111
  • Epidemiology 286
  • Physiology 35
  • Cell Biology 79
  • Molecular Biology 292
  • Parasitology 21
Replace Minna Niittykoski with:
Minna Niittykoski Finland
Takami Sho China
Lixiang Wang Japan
Natalia Kučić Croatia
Xiaowei Xing China
Tammy M. Casey Australia
Qinqin Bai China
Noa Avni Israel
Shi‐Ming Luo China
Yuan Pei relative to Minna Niittykoski Finland Minna Niittykoski's profile →
Citations per field
00.5×1.5×1.9×
Minna Niittykoski · 1×
Citations per year

Countries citing papers authored by Yuan Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003239
2 2005151
3 200864
4 201036
5 202429
6 201027
7 201520
8 202015
9 20229
10 20179
11 20228
12 20256
13 20233
14
A new software interface aesthetics model based on genetic algorithm and neutral network
20153
15 20233
16 20252
17 20222
18 20242
19 20251
20 20251

About Yuan Pei

Yuan Pei is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Epidemiology and Nutrition and Dietetics, having authored 25 papers that have together received 633 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (3 papers), Conducting polymers and applications (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Economic Growth and Productivity (2 papers), RNA Research and Splicing (2 papers), Receptor Mechanisms and Signaling (2 papers), RNA regulation and disease (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Epidemiology (286 citations), Physiology (35 citations), Cell Biology (79 citations), Molecular Biology (292 citations) and Parasitology (21 citations). Yuan Pei has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Long Yu, Yongjun Dang, Jiaxue Wu, Jun O. Liu, Bo Wan, Fangyan Dai, Chaoqun Wu, Hua He, Shouyuan Zhao and Zekun Guo. Their work appears in journals such as Organic Electronics, The Journal of Immunology, Biochemical and Biophysical Research Communications, Scientific Reports and Cell Research.

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.

Explore authors with similar magnitude of impact