Li Ma

150 papers receiving 4.3k citations

Hit Papers

Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification 2010 · 426 citations
4260+7+15Years since publication200400600

Peers

Li Ma
Comparison fields: 5 of 182
  • Media Technology 1.4k
  • Signal Processing 1.5k
  • Computer Vision and Pattern Recognition 1.3k
  • Atmospheric Science 711
  • Information Systems 685
Replace Yunhong Wang with:
Yunhong Wang China
Feng Liu China
Zhi Liu China
Min Xia China
Lingling Li China
Stephen Marshall United Kingdom
Michael Blumenstein Australia
Shuhui Wang China
Huanhuan Chen China
Rong Wang China
Li Ma relative to Yunhong Wang China Yunhong Wang's profile →
Citations per field
00.5×10×14.5×
Yunhong Wang · 1×
Citations per year

Countries citing papers authored by Li Ma

Since Specialization
Citations

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

Fields of papers citing papers by Li Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Personal identification based on iris texture analysis
Hit paper breakdown →
2003636
2
Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification
Hit paper breakdown →
2010426
3 2003249
4 2015233
5
Iris Recognition Based on Multichannel Gabor Filtering
2002209
6 2018190
7 2015177
8 2004158
9 2003114
10 2014105
11 201886
12 200484
13 201982
14 202077
15 202075
16 201870
17 201270
18 201067
19 202265
20 201956

About Li Ma

Li Ma is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Oceanography and Signal Processing, having authored 169 papers that have together received 4.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (37 papers), Underwater Acoustics Research (25 papers), Domain Adaptation and Few-Shot Learning (20 papers), Remote Sensing and Land Use (16 papers), Speech and Audio Processing (11 papers), Underwater Vehicles and Communication Systems (11 papers), Biometric Identification and Security (8 papers) and Polymer crystallization and properties (8 papers). The work is most often cited by research in Media Technology (1.4k citations), Signal Processing (1.5k citations), Computer Vision and Pattern Recognition (1.3k citations), Atmospheric Science (711 citations) and Information Systems (685 citations). Li Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunhong Wang, Tieniu Tan, Melba M. Crawford, Jinwen Tian, Tieniu Tan, Qian Du, Xiaoquan Yang, Xing Chen, Hongyan Zhang and Liangpei Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Polymer, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and The Journal of the Acoustical Society of America.

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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