Luming Liang

2.2k total citations · 1 hit paper
42 papers, 1.5k citations indexed

About

Luming Liang is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Ocean Engineering. According to data from OpenAlex, Luming Liang has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Geophysics and 10 papers in Ocean Engineering. Recurrent topics in Luming Liang's work include Seismic Imaging and Inversion Techniques (13 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Processing Techniques (8 papers). Luming Liang is often cited by papers focused on Seismic Imaging and Inversion Techniques (13 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Processing Techniques (8 papers). Luming Liang collaborates with scholars based in United States, China and United Kingdom. Luming Liang's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Luming Liang United States	16	790	564	516	307	286	42	1.5k
Naihao Liu China	27	1.6k 2.0×	898 1.6×	410 0.8×	475 1.5×	412 1.4×	116	2.3k
Zhi Zhong China	18	232 0.3×	560 1.0×	186 0.4×	400 1.3×	218 0.8×	72	1.3k
Dave Hale United States	27	2.1k 2.6×	1.3k 2.3×	150 0.3×	682 2.2×	286 1.0×	69	2.4k
Sadegh Karimpouli Iran	19	339 0.4×	553 1.0×	137 0.3×	457 1.5×	160 0.6×	37	1.2k
Bangyu Wu China	21	1.2k 1.5×	716 1.3×	185 0.4×	374 1.2×	308 1.1×	90	1.6k
Peng Jiang China	18	672 0.9×	692 1.2×	396 0.8×	201 0.7×	174 0.6×	62	1.4k
Zhiguo Wang China	16	458 0.6×	252 0.4×	189 0.4×	150 0.5×	195 0.7×	83	852
Liguan Wang China	16	189 0.2×	128 0.2×	136 0.3×	92 0.3×	209 0.7×	89	778
Yunzhi Shi United States	14	1.4k 1.8×	988 1.8×	135 0.3×	501 1.6×	400 1.4×	29	1.6k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Xinming, et al.. (2025). Kernel Prediction Network for Offset Domain Common Image Gather Flattening and Correction. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14.

Wu, Xinming, et al.. (2025). A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys. Information Fusion. 125. 103437–103437. 2 indexed citations

Wu, Xinming, et al.. (2025). Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis. SHILAP Revista de lepidopterología. 2(1). 4 indexed citations

Ding, Tianyu, et al.. (2024). DREAM: Diffusion Rectification and Estimation-Adaptive Models. 8342–8351. 1 indexed citations

Li, Peng, Xuefeng Yan, Ding Shi, et al.. (2023). CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset. IEEE Transactions on Intelligent Transportation Systems. 24(10). 10749–10759. 43 indexed citations

Kaur, Harpreet, et al.. (2023). Deep-learning-based 3D fault detection for carbon capture and storage. Geophysics. 88(4). IM101–IM112. 13 indexed citations

Geng, Zhicheng, Zhanxuan Hu, Xinming Wu, Luming Liang, & Sergey Fomel. (2022). Semisupervised salt segmentation using mean teacher. Interpretation. 10(3). SE21–SE29. 15 indexed citations

Geng, Zhicheng, Yangkang Chen, Sergey Fomel, & Luming Liang. (2022). LOUD: Local Orthogonalization-Constrained Unsupervised Deep-Learning Denoiser. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 5 indexed citations

Liang, Luming, et al.. (2021). Guidance Network with Staged Learning for Image enhancement. 836–845. 4 indexed citations

10.

Lim, Sehoon, et al.. (2020). Smart Display Clearly Sees via Deep Learning. Proceedings of the International Display Workshops. 977–977. 1 indexed citations

11.

Chen, Shu, et al.. (2020). Accurate 3D motion tracking by combining image alignment and feature matching. Multimedia Tools and Applications. 79(29-30). 21325–21343. 3 indexed citations

12.

Wu, Xinming, Luming Liang, Yunzhi Shi, Zhicheng Geng, & Sergey Fomel. (2019). 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. Geophysical Journal International. 219(3). 2097–2109. 66 indexed citations

13.

Wu, Xinming, Luming Liang, Yunzhi Shi, Zhicheng Geng, & Sergey Fomel. (2019). 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. 2222–2226. 15 indexed citations

14.

Wu, Xinming, Luming Liang, Yunzhi Shi, & Sergey Fomel. (2019). FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation. Geophysics. 84(3). IM35–IM45. 586 indexed citations breakdown →

15.

Wei, Mingqiang, Qiong Wang, Yichen Li, et al.. (2018). Centerline Extraction of Vasculature Mesh. IEEE Access. 6. 10257–10268. 12 indexed citations

16.

Wu, Xinming, Yunzhi Shi, Sergey Fomel, & Luming Liang. (2018). Convolutional neural networks for fault interpretation in seismic images. 1946–1950. 103 indexed citations

17.

Liang, Luming & Zhimin Zhang. (2017). Structure-aware enhancement of imaging mass spectrometry data for semantic segmentation. Chemometrics and Intelligent Laboratory Systems. 171. 259–265. 2 indexed citations

18.

Liang, Luming, Dave Hale, & Marko Maučec. (2010). Estimating fault displacements in seismic images. 1357–1361. 12 indexed citations

19.

Liang, Luming & Dave Hale. (2010). A stable and fast implementation of natural neighbor interpolation. 4 indexed citations

20.

Liang, Luming. (2008). Image Interpolation by Blending Kernels. IEEE Signal Processing Letters. 15. 805–808. 21 indexed citations

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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