Ning Bi

703 citations
33 papers · 443 · h-index 11

Impact in

    • Advanced Steganography and Watermarking Techniques
    • Image and Signal Denoising Methods
    • Digital Media Forensic Detection
    • Handwritten Text Recognition Techniques
    • Chaos-based Image/Signal Encryption
    • Blind Source Separation Techniques

Papers in

Ning Bi

30 papers receiving 417 citations

Peers

Ning Bi
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 255
  • Signal Processing 99
  • Human-Computer Interaction 36
  • Applied Mathematics 49
  • Media Technology 38
Replace Ramakrishna Kakarala with:
Ramakrishna Kakarala Singapore
Jinsong Leng China
Sadeep Jayasumana Australia
Luc J. Van Gool Belgium
G.H. Freeman Canada
Thomas Arildsen Denmark
Larry S. Shapiro United Kingdom
Felix C. A. Fernandes United States
Mohamed Morchid France
Mireille Boutin United States
Ning Bi relative to Ramakrishna Kakarala Singapore Ramakrishna Kakarala's profile →
Citations per field
00.5×
Ramakrishna Kakarala · 1×
Citations per year

Countries citing papers authored by Ning Bi

Since Specialization
Citations

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

Fields of papers citing papers by Ning Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007140
2 201456
3 199934
4 201831
5 200522
6 200920
7 201819
8 201916
9 201615
10 201914
11 202110
12 19989
13 20089
14 20188
15 20217
16 20077
17 20155
18
Bats algorithm research in cloud computing resource scheduling based on membrane computing
20154
19 20234
20 20092

About Ning Bi

Ning Bi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Artificial Intelligence and Applied Mathematics, having authored 33 papers that have together received 443 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Image and Signal Denoising Methods (8 papers), Mathematical Analysis and Transform Methods (6 papers), Microwave Imaging and Scattering Analysis (5 papers), Handwritten Text Recognition Techniques (5 papers), Advanced Data Compression Techniques (4 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (255 citations), Signal Processing (99 citations), Human-Computer Interaction (36 citations), Applied Mathematics (49 citations) and Media Technology (38 citations). Ning Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qiyu Sun, Jun Tan, Zhihua Yang, Jiwu Huang, Ching Y. Suen, Xin-Rong Dai, Yuanqing Li, Yong Xu, Zhenghui Gu and Шун-ичи Амари. Their work appears in journals such as Applied and Computational Harmonic Analysis, Analysis and Applications, Mathematical Methods in the Applied Sciences, Numerical Mathematics Theory Methods and Applications and IEEE Transactions on Image Processing.

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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