Lianping Yang

1.2k citations
27 papers · 287 · h-index 11

Impact in

Papers in

    • Machine Learning in Bioinformatics 11
    • Fractal and DNA sequence analysis 9
    • Genomics and Phylogenetic Studies 8
    • RNA and protein synthesis mechanisms 3
    • Chaos-based Image/Signal Encryption 5
    • Advanced Neural Network Applications 2
    • Video Surveillance and Tracking Methods 2

Lianping Yang

21 papers receiving 274 citations

Peers

Lianping Yang
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 114
  • Artificial Intelligence 86
  • Computational Theory and Mathematics 33
  • Molecular Biology 132
  • Signal Processing 20
Replace G. Manjunath with:
G. Manjunath India
K. V. Suresh India
Jüri Lember Estonia
Beilun Wang China
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Citations per field
00.5×3.6×
G. Manjunath · 1×
Citations per year

Countries citing papers authored by Lianping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lianping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201474
2 201733
3 200924
4 201322
5 200919
6 202319
7 201015
8 202215
9 201314
10 201112
11 201010
12 202010
13 20134
14 20224
15 20163
16 20173
17 20162
18 20091
19 20221
20 20181

About Lianping Yang

Lianping Yang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Statistical and Nonlinear Physics, having authored 27 papers that have together received 287 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), Fractal and DNA sequence analysis (9 papers), Genomics and Phylogenetic Studies (8 papers), Chaos-based Image/Signal Encryption (5 papers), RNA and protein synthesis mechanisms (3 papers), Image Processing Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Artificial Intelligence (86 citations), Computational Theory and Mathematics (33 citations), Molecular Biology (132 citations) and Signal Processing (20 citations). Lianping Yang has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Xiangde Zhang, Hegui Zhu, Cheng Zhao, Tianming Wang, Shengli Zhang, Jie Ren, Tianming Wang, Nathan A. Ahlgren, Fengzhu Sun and Jed A. Fuhrman. Their work appears in journals such as Journal of Theoretical Biology, Applied Intelligence, Journal of Computational Biology, BMC Bioinformatics and Amino Acids.

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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