Yang Ai

734 citations
30 papers · 526 · h-index 11

Impact in

  • Geophysics top 10%
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • earthquake and tectonic studies
    • Advanced Steganography and Watermarking Techniques
    • Chaos-based Image/Signal Encryption
    • Digital Media Forensic Detection

Papers in

Yang Ai

30 papers receiving 500 citations

Peers

Yang Ai
Comparison fields: 5 of 102
  • Geophysics 163
  • Computer Vision and Pattern Recognition 164
  • Signal Processing 79
  • Artificial Intelligence 119
  • Health Informatics 5
Replace Béla Fehér with:
Béla Fehér Hungary
Sohail Masood Bhatti Pakistan
Songbin Li China
Vanika Singhal India
Tri Harsono Indonesia
Yuxin Fang China
Yu-Ding Lu United States
Yang Ai relative to Béla Fehér Hungary Béla Fehér's profile →
Citations per field
00.5×10×15×18.4×
Béla Fehér · 1×
Citations per year

Countries citing papers authored by Yang Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994164
2 201968
3 202348
4 201937
5 202036
6 201927
7 202125
8 202219
9 202419
10 202217
11 202310
12 20238
13 20246
14 20245
15 20245
16
Combining Ability and Heterosis of 14 CIMMYT and 13 Domestic Maize Populations in an NCII Mating Design
20065
17 20235
18 20224
19
Stepwise synthesis of cuprous oxide nanoparticles with adjustable structures and growth model
20143
20 20233

About Yang Ai

Yang Ai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing and Molecular Biology, having authored 30 papers that have together received 526 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Steganography and Watermarking Techniques (5 papers), AI in cancer detection (5 papers), Bone Tissue Engineering Materials (3 papers), Speech and Audio Processing (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Geophysics (163 citations), Computer Vision and Pattern Recognition (164 citations), Signal Processing (79 citations), Artificial Intelligence (119 citations) and Health Informatics (5 citations). Yang Ai has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Jing Liu, Jixin Ma, Uzair Aslam Bhatti, Zhen-Hua Ling, Jingbing Li, Jingbing Li, Jingbing Li, Kun Zhang, Chuanglong He and Xiaojun Zhou. Their work appears in journals such as Advanced Healthcare Materials, Forests, Journal of Materials Chemistry B, Frontiers in Psychiatry and Alexandria Engineering Journal.

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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