Guoping Ai

905 citations
49 papers · 742 · h-index 17

Impact in

Papers in

Guoping Ai

49 papers receiving 728 citations

Peers

Guoping Ai
Comparison fields: 5 of 107
  • Modeling and Simulation 61
  • Statistical and Nonlinear Physics 140
  • Genetics 98
  • Rehabilitation 55
  • Radiology, Nuclear Medicine and Imaging 101
Replace Daniel Sánchez‐Taltavull with:
Daniel Sánchez‐Taltavull Switzerland
Jacobus Slabbert South Africa
Marek K. Janiak Poland
Danuta Szczesna‐Cordary United States
Yu‐Wei Cheng United States
Zhiyuan Liu China
Elvezia Maria Paraboschi Italy
Laurence Bugeon United Kingdom
Mirna Flögel Croatia
F. Estève France
Guoping Ai relative to Daniel Sánchez‐Taltavull Switzerland Daniel Sánchez‐Taltavull's profile →
Citations per field
00.5×10×20×27.5×
Daniel Sánchez‐Taltavull · 1×
Citations per year

Countries citing papers authored by Guoping Ai

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 201173
3 201058
4 200545
5 201335
6 201634
7 201627
8 200827
9 201127
10 201224
11 201823
12 200922
13 200821
14 200920
15 200519
16 201919
17 201216
18 200614
19 200713
20 201813

About Guoping Ai

Guoping Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics, Statistical and Nonlinear Physics and Immunology, having authored 49 papers that have together received 742 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (6 papers), Effects of Radiation Exposure (6 papers), Nonlinear Photonic Systems (5 papers), Mesenchymal stem cell research (5 papers), Heat shock proteins research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Wound Healing and Treatments (3 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Statistical and Nonlinear Physics (140 citations), Genetics (98 citations), Rehabilitation (55 citations) and Radiology, Nuclear Medicine and Imaging (101 citations). Guoping Ai has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Yongping Su, Wen‐Hui Zhu, Tianmin Cheng, Li Zhou, Jian-Guo Liu, Junping Wang, Zhongmin Zou, Yan Wang, Jian‐Guo Liu and M.S. Osman. Their work appears in journals such as Journal of Radiation Research, International Journal of Radiation Biology, International Journal of Nonlinear Sciences and Numerical Simulation, Neurological Sciences and Archives of Biochemistry and Biophysics.

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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