Peng Liu

4.0k citations
192 papers · 2.9k · h-index 29

Impact in

Papers in

Peng Liu

174 papers receiving 2.8k citations

Peers

Peng Liu
Comparison fields: 5 of 168
  • Media Technology 747
  • Computer Vision and Pattern Recognition 568
  • Environmental Engineering 346
  • Atmospheric Science 409
  • Signal Processing 198
Replace Nicolas H. Younan with:
Nicolas H. Younan United States
Wei Feng China
Κωνσταντίνος Καράντζαλος Greece
Yun Zhang China
Wei Han China
Alim Samat China
Gang Yang China
Yan Ma China
Peng Ren China
Xu Sun China
Peng Liu relative to Nicolas H. Younan United States Nicolas H. Younan's profile →
Citations per field
00.5×
Nicolas H. Younan · 1×
Citations per year

Countries citing papers authored by Peng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016205
2 2020129
3 2016122
4 2022113
5 2020103
6 2015100
7 201470
8 201470
9 202064
10 201059
11 202258
12 201856
13 202256
14 201454
15 201752
16 202150
17 202048
18 201647
19 201947
20 202146

About Peng Liu

Peng Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Atmospheric Science and Global and Planetary Change, having authored 192 papers that have together received 2.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (37 papers), Advanced Image Fusion Techniques (26 papers), Image and Signal Denoising Methods (20 papers), Advanced Image Processing Techniques (14 papers), Remote Sensing in Agriculture (14 papers), Oil Spill Detection and Mitigation (11 papers), Sparse and Compressive Sensing Techniques (10 papers) and Remote Sensing and Land Use (10 papers). The work is most often cited by research in Media Technology (747 citations), Computer Vision and Pattern Recognition (568 citations), Environmental Engineering (346 citations), Atmospheric Science (409 citations) and Signal Processing (198 citations). Peng Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lizhe Wang, Fang Huang, Kim‐Kwang Raymond Choo, Rajiv Ranjan, Lei Zhao, Guojin He, Yan Ma, Lajiao Chen, Jianbo Liu and Jingjing Xie. Their work appears in journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Access, IEEE Transactions on Geoscience and Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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