Luming Liang

2.2k citations

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

Geophysics top 2%
Ocean Engineering top 1%
Computer Vision and Pattern Recognition top 2%
Mechanical Engineering top 10%
Artificial Intelligence top 5%

Co-authors: Xinming Wu Sergey Fomel Yunzhi Shi Mingqiang Wei Zhicheng Geng Tianyu Ding Jun Wang Haoran Xie
Topics: Seismic Imaging and Inversion Techniques (13 papers)Advanced Vision and Imaging (8 papers)Advanced Image Processing Techniques (8 papers)
Cited by: Geophysics Ocean Engineering Computer Vision and Pattern Recognition
Journals: SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote Sensing IEEE Access
Partner nations: United States China United Kingdom

In The Last Decade

Luming Liang

41 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

2019 586 citations Xinming Wu, Luming Liang et al. Geophysics profile →

Peers

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 of co-authors of Luming Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Luming Liang. A scholar is included among the top collaborators of Luming Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luming Liang. Luming Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Kernel Prediction Network for Offset Domain Common Image Gather Flattening and Correction 2025 ·IEEE Transactions on Geoscience and Remote Sensing ·(unknown),Xinming Wu,Peimin Zhu,Luming Liang,Yu Wang,(unknown),Hao Zhang,(unknown)	0
2	A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys 2025 ·Information Fusion ·(unknown),Xinming Wu,Luming Liang,(unknown),Xu Si,(unknown),(unknown)	2
3	Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis 2025 ·SHILAP Revista de lepidopterología ·(unknown),Xinming Wu,Luming Liang,(unknown),(unknown),(unknown)	4
4	DREAM: Diffusion Rectification and Estimation-Adaptive Models 2024 ·(unknown),Tianyu Ding,Tianyi Chen,Jiachen Jiang,(unknown),Zhihui Zhu,Luming Liang	1
5	CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset 2023 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown),Peng Li,Xuefeng Yan,Ding Shi,Luming Liang,Weiming Wang,Haoran Xie,Jonathan Li,Mingqiang Wei	43
6	Deep-learning-based 3D fault detection for carbon capture and storage 2023 ·Geophysics ·Harpreet Kaur,Qie Zhang,Philipp Witte,Luming Liang,(unknown),Sergey Fomel	13
7	Semisupervised salt segmentation using mean teacher 2022 ·Interpretation ·Zhicheng Geng,Zhanxuan Hu,Xinming Wu,Luming Liang,Sergey Fomel	15
8	LOUD: Local Orthogonalization-Constrained Unsupervised Deep-Learning Denoiser 2022 ·IEEE Transactions on Geoscience and Remote Sensing ·Zhicheng Geng,Yangkang Chen,Sergey Fomel,Luming Liang	5
9	Guidance Network with Staged Learning for Image enhancement 2021 ·Luming Liang,(unknown),(unknown),Hamid Reza Vaezi Joze,Vivek Pradeep	4
10	Smart Display Clearly Sees via Deep Learning 2020 ·Proceedings of the International Display Workshops ·Sehoon Lim,Luming Liang,Xiaoyan Hu,(unknown),(unknown),(unknown)	1
11	Accurate 3D motion tracking by combining image alignment and feature matching 2020 ·Multimedia Tools and Applications ·Shu Chen,Luming Liang,(unknown),Yuan Yuan	3
12	Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a single convolutional neural network 2019 ·Geophysical Journal International ·Xinming Wu,Luming Liang,Yunzhi Shi,Zhicheng Geng,Sergey Fomel	66
13	Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural network 2019 ·Xinming Wu,Luming Liang,Yunzhi Shi,Zhicheng Geng,Sergey Fomel	15
14	FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentationbreakdown → 2019 ·Geophysics ·Xinming Wu,Luming Liang,Yunzhi Shi,Sergey Fomel	586
15	Centerline Extraction of Vasculature Mesh 2018 ·IEEE Access ·Mingqiang Wei,Qiong Wang,Yichen Li,Wai‐Man Pang,Luming Liang,Jun Wang,Kelvin K. L. Wong,Derek Abbott,Jing Qin,Jianhuang Wu	12
16	Convolutional neural networks for fault interpretation in seismic images 2018 ·Xinming Wu,Yunzhi Shi,Sergey Fomel,Luming Liang	103
17	Structure-aware enhancement of imaging mass spectrometry data for semantic segmentation 2017 ·Chemometrics and Intelligent Laboratory Systems ·Luming Liang,Zhimin Zhang	2
18	Estimating fault displacements in seismic images 2010 ·Luming Liang,Dave Hale,Marko Maučec	12
19	A stable and fast implementation of natural neighbor interpolation 2010 ·Luming Liang,Dave Hale	4
20	Image Interpolation by Blending Kernels 2008 ·IEEE Signal Processing Letters ·Luming Liang	21

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) and Advanced Image Processing Techniques (8 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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