Aiping Yang

1.1k citations
68 papers · 799 · h-index 14

Impact in

Papers in

Aiping Yang

63 papers receiving 762 citations

Peers

Aiping Yang
Comparison fields: 5 of 122
  • Complementary and alternative medicine 95
  • Rehabilitation 71
  • Computer Vision and Pattern Recognition 143
  • Biomaterials 80
  • Hematology 61
Replace Young-Hwan Park with:
Young-Hwan Park South Korea
Yipeng Chen China
Seyed Reza Mousavi Iran
Jiajie Guo China
Haonan Wang China
Pei-Chi Hsiao Taiwan
Yuming Du China
Zepeng Chen China
Jiefeng Li China
Hong Miao China
Aiping Yang relative to Young-Hwan Park South Korea Young-Hwan Park's profile →
Citations per field
00.5×10×14.3×
Young-Hwan Park · 1×
Citations per year

Countries citing papers authored by Aiping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2011125
3 201956
4 202354
5 202245
6 201938
7 200938
8 199828
9 201923
10 202318
11 202217
12 202413
13 201913
14 201513
15 202013
16 202410
17 20088
18 20068
19
An overview of neural network predictive control for nonlinear systems
20097
20 20137

About Aiping Yang

Aiping Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Control and Systems Engineering and Signal Processing, having authored 68 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (10 papers), Advanced Image Processing Techniques (7 papers), Bone Tissue Engineering Materials (6 papers), Wound Healing and Treatments (5 papers), Surgical Sutures and Adhesives (4 papers) and Industrial Technology and Control Systems (4 papers). The work is most often cited by research in Complementary and alternative medicine (95 citations), Rehabilitation (71 citations), Computer Vision and Pattern Recognition (143 citations), Biomaterials (80 citations) and Hematology (61 citations). Aiping Yang has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Zhenfeng Yang, Yonghua Zheng, Yuting Cai, Guoyu Lv, Shifeng Cao, Chengyou Wang, Hong Wu, Xu Li, Jin-Ling Tang and Heng Zheng. Their work appears in journals such as International Journal of Biological Macromolecules, Food Chemistry, Food Chemistry X, Journal of Biomedical Materials Research and Macromolecular Bioscience.

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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