Luming Liang

2.2k citations
42 papers · 1.5k indexed · 1 hit paper · h-index 16

Luming Liang

41 papers receiving 1.5k citations

Hit Papers

FaultSeg3D: Using synthetic data sets to train an end-to-...5862019202620212023100200300400500

Peers

Luming Liang
Comparison fields: 5 of 81
  • Geophysics 790
  • Ocean Engineering 564
  • Computer Vision and Pattern Recognition 516
  • Media Technology 130
  • Computer Graphics and Computer-Aided Design 51
Replace Naihao Liu with:
Naihao Liu China
Dave Hale United States
Zhi Zhong China
Sadegh Karimpouli Iran
Liguan Wang China
Yunzhi Shi United States
Zhiguo Wang China
Bangyu Wu China
Peng Jiang China
Luming Liang relative to Naihao Liu China Naihao Liu's profile →
Citations per field
00.5×8.5×
Naihao Liu · 1×
Citations per year

Countries citing papers authored by Luming Liang

Since Specialization
Citations

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

Fields of papers citing papers by Luming Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20254
4 20241
5 202343
6 202313
7 202215
8 20225
9 20214
10 20201
11 20203
12 201966
13 201915
14
FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentationbreakdown →
2019586
15 201812
16 2018103
17 20172
18 201012
19
A stable and fast implementation of natural neighbor interpolation
20104
20 200821

About Luming Liang

Luming Liang is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Ocean Engineering, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (13 papers), Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (8 papers), Advanced Numerical Analysis Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Drilling and Well Engineering (6 papers), Image Enhancement Techniques (5 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Geophysics (790 citations), Ocean Engineering (564 citations) and Computer Vision and Pattern Recognition (516 citations). Luming Liang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xinming Wu, Sergey Fomel, Yunzhi Shi, Mingqiang Wei, Zhicheng Geng, Tianyu Ding, Jun Wang, Haoran Xie, Fu Lee Wang and Qie Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

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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