Ming Lu

1.3k total citations
44 papers, 544 citations indexed

About

Ming Lu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Ming Lu has authored 44 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Computational Mechanics. Recurrent topics in Ming Lu's work include Advanced Image Processing Techniques (15 papers), Advanced Vision and Imaging (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Ming Lu is often cited by papers focused on Advanced Image Processing Techniques (15 papers), Advanced Vision and Imaging (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Ming Lu collaborates with scholars based in China, United States and Australia. Ming Lu's co-authors include Zhan Ma, Zujin Zhang, Zheng‐an Yao, Haojie Liu, Xinglong Wu, Yao Wang, Xun Cao, Tong Chen, Anbang Yao and Yi Du and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Ming Lu

35 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Lu China	14	287	120	107	104	67	44	544
Bin Han China	12	344 1.2×	118 1.0×	13 0.1×	49 0.5×	122 1.8×	51	503
Chengzhi Deng China	9	568 2.0×	23 0.2×	55 0.5×	31 0.3×	66 1.0×	52	705
Ting Hu China	11	146 0.5×	18 0.1×	40 0.4×	42 0.4×	242 3.6×	49	561
Tudor Barbu Romania	13	407 1.4×	13 0.1×	34 0.3×	95 0.9×	49 0.7×	74	548
Tao Xie China	12	130 0.5×	26 0.2×	23 0.2×	41 0.4×	16 0.2×	55	399
Stephen T. Welstead United States	7	134 0.5×	21 0.2×	39 0.4×	20 0.2×	18 0.3×	16	391
Goran Marjanovic Australia	9	96 0.3×	13 0.1×	14 0.1×	75 0.7×	184 2.7×	19	319
S. Golden United States	7	158 0.6×	29 0.2×	6 0.1×	105 1.0×	25 0.4×	12	482
Venkat Chandrasekaran United States	10	65 0.2×	19 0.2×	11 0.1×	60 0.6×	158 2.4×	26	369

Countries citing papers authored by Ming Lu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Lu. A scholar is included among the top collaborators of Ming Lu 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 Ming Lu. Ming Lu 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

He, Lei, et al.. (2025). ALSP+: Fast Scene Recovery via Ambient Light Similarity Prior. IEEE Transactions on Image Processing. 34. 4470–4484. 1 indexed citations

Lu, Ming, et al.. (2025). Modeling and Output Feedback Tracking Control of Self-Developed Autonomous Underwater Vehicle. Unmanned Systems. 13(6). 1639–1660.

Xu, Ze, Xiaopeng Zhang, Xiaofeng Yuan, et al.. (2025). Synthesis and structural studies of a promising energetic material: 5-(1-(trinitromethyl)-1H-1,2,4-triazole-3-yl)-2H-tetrazole. Journal of Molecular Structure. 1348. 143552–143552. 1 indexed citations

Lu, Ming, et al.. (2024). Efficient Visual Computing With Camera RAW Snapshots. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4684–4701.

Lu, Ming, et al.. (2024). Towards Backward-Compatible Continual Learning of Image Compression. arXiv (Cornell University). 25564–25573. 1 indexed citations

Lu, Ming, et al.. (2024). HINER: Neural Representation for Hyperspectral Image. 9837–9846. 1 indexed citations

Zhang, Xiaoming, et al.. (2023). Unveiling hierarchical relationships for social image representation learning. Applied Soft Computing. 147. 110792–110792.

Zhang, Chi, et al.. (2023). Recurrent Information Synthesis for Down-Sampling Based Video Coding. 1–6.

Lu, Ming, Leyuan Fang, Muxing Li, et al.. (2022). NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 36 indexed citations

10.

Wang, Xining, Ming Lu, & Zhan Ma. (2022). Block-Level Rate Control for Learnt Image Coding. 157–161. 5 indexed citations

11.

Yang, Xue, et al.. (2022). New super-resolution reconstruction method based on Mixed Sparse Representations. National Remote Sensing Bulletin. 26(8). 1685–1697.

12.

Li, Feng, et al.. (2021). A　new hyper-temporal imaging mode for spaceborne CMOS cameras. National Remote Sensing Bulletin. 25(1). 514–525. 1 indexed citations

13.

Lu, Ming, et al.. (2021). SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution.

14.

Chen, Hao, Ming Lu, Zhan Ma, et al.. (2020). Learned Resolution Scaling Powered Gaming-as-a-Service at Scale. IEEE Transactions on Multimedia. 23. 584–596. 14 indexed citations

15.

Rui, Ting, et al.. (2020). Visual SLAM in dynamic environments based on object detection. Defence Technology. 17(5). 1712–1721. 38 indexed citations

16.

Wang, Zhibo, et al.. (2020). Emotion-preserving Blendshape Update with Real-time Face Tracking. IEEE Transactions on Visualization and Computer Graphics. 28(6). 1–1. 5 indexed citations

17.

Lu, Ming, Tong Chen, Haojie Liu, & Zhan Ma. (2019). Learned Image Restoration for VVC Intra Coding. Computer Vision and Pattern Recognition. 0–0. 7 indexed citations

18.

Zhao, Danpei, et al.. (2013). High-Speed Recognition Algorithm Based on BRISK and Saliency Detection for Aerial Images. Research Journal of Applied Sciences Engineering and Technology. 5(23). 5469–5473. 1 indexed citations

19.

Lu, Ming, Yi Du, & Zheng‐an Yao. (2011). Blow-up criterion for compressible MHD equations. Journal of Mathematical Analysis and Applications. 379(1). 425–438. 16 indexed citations

20.

Zhang, Zujin, Xinglong Wu, & Ming Lu. (2010). On the uniqueness of strong solution to the incompressible Navier–Stokes equations with damping. Journal of Mathematical Analysis and Applications. 377(1). 414–419. 57 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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