Ning Yan

524 citations
18 papers · 337 · h-index 9

Impact in

    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Advanced Data Compression Techniques
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Image and Signal Denoising Methods
    • Human Pose and Action Recognition
    • Video Coding and Compression Technologies

Papers in

Ning Yan

16 papers receiving 331 citations

Peers

Ning Yan
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 304
  • Signal Processing 118
  • Media Technology 19
  • Artificial Intelligence 66
  • Computer Graphics and Computer-Aided Design 5
Replace Fabian Mentzer with:
Fabian Mentzer Switzerland
Troy Chinen United States
Dailan He China
Qunliang Xing China
Minyoung Kim South Korea
Jeongin Seo South Korea
Haitao Yang China
Adam Wieckowski Germany
Xiwu Shang China
Ning Yan relative to Fabian Mentzer Switzerland Fabian Mentzer's profile →
Citations per field
00.5×1.5×2.4×
Fabian Mentzer · 1×
Citations per year

Countries citing papers authored by Ning Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201871
2 202170
3 202148
4 202145
5 201918
6 201917
7 201815
8 202014
9 202011
10 20206
11 20235
12 20195
13 20224
14 20233
15 20203
16 20202
17 20250
18 20250

About Ning Yan

Ning Yan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Information Systems, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Video Coding and Compression Technologies (6 papers), Advanced Vision and Imaging (6 papers), Advanced Data Compression Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Processing Techniques and Applications (2 papers), Imbalanced Data Classification Techniques (2 papers) and Horticultural and Viticultural Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Signal Processing (118 citations), Media Technology (19 citations), Artificial Intelligence (66 citations) and Computer Graphics and Computer-Aided Design (5 citations). Ning Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Houqiang Li, Dong Liu, Li Li, Feng Wu, Bir Bhanu, Bin Li, Changsheng Gao, Zhu Li, Shan Liu and Tong Xu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Journal of Selected Topics in Signal Processing, Applied Optics, International Journal of Computer Vision and Knowledge-Based Systems.

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