Liyan Ma

787 citations
73 papers · 536 · h-index 12

Impact in

Papers in

    • Advanced Image Processing Techniques 13
    • Advanced Neural Network Applications 10
    • Image and Signal Denoising Methods 9
    • Advanced Image and Video Retrieval Techniques 6
    • Video Surveillance and Tracking Methods 4
    • Advanced Vision and Imaging 4
    • Domain Adaptation and Few-Shot Learning 5

Liyan Ma

64 papers receiving 516 citations

Peers

Liyan Ma
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 290
  • Media Technology 85
  • Computational Mechanics 122
  • Computational Mathematics 2
  • Artificial Intelligence 76
Replace Zhe Yan with:
Zhe Yan China
Tao Hong United States
Mark S. Schmalz United States
Clarimar José Coelho Brazil
Jian‐ao Lian United States
Le Jiang China
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Citations per field
00.5×2.5×
Zhe Yan · 1×
Citations per year

Countries citing papers authored by Liyan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201655
3 201338
4 202430
5 202327
6
Re-Os isotope dating of the Da'ao tungsten-tin deposit in the Jiuyi Mountains,southern Hunan Province
200727
7 201320
8 202118
9 201517
10 201617
11 202212
12 202211
13 201710
14 201910
15 20229
16 20229
17 20218
18 20218
19 20246
20 20236

About Liyan Ma

Liyan Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Plant Science and Molecular Biology, having authored 73 papers that have together received 536 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (13 papers), Advanced Neural Network Applications (10 papers), Image and Signal Denoising Methods (9 papers), Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Media Technology (85 citations), Computational Mechanics (122 citations), Computational Mathematics (2 citations) and Artificial Intelligence (76 citations). Liyan Ma has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Tieyong Zeng, Lionel Moisan, Xiangfeng Luo, Jian Yu, Hang Yu, Shaorong Xie, Liang Zeng, Michael K. Ng, Jianrong Su and Mingyue Cui. Their work appears in journals such as Knowledge-Based Systems, IEEE Journal of Biomedical and Health Informatics, Journal of Scientific Computing, Medical Image Analysis and Pattern Recognition.

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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