Guo Lu

2.4k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Guo Lu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Guo Lu has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 3 papers in Sociology and Political Science. Recurrent topics in Guo Lu's work include Advanced Image Processing Techniques (26 papers), Video Coding and Compression Technologies (25 papers) and Advanced Data Compression Techniques (20 papers). Guo Lu is often cited by papers focused on Advanced Image Processing Techniques (26 papers), Video Coding and Compression Technologies (25 papers) and Advanced Data Compression Techniques (20 papers). Guo Lu collaborates with scholars based in China, Australia and Singapore. Guo Lu's co-authors include Dong Xu, Zhiyong Gao, Xiaoyun Zhang, Wanli Ouyang, Chunlei Cai, Zhihao Hu, Li Chen, Shan Liu, Wei Jiang and Jinyang Guo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Annals of Oncology.

In The Last Decade

Guo Lu

42 papers receiving 1.1k 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.

DVC: An End-To-End Deep Video Compression Framework

2019 405 citations Guo Lu, Chunlei Cai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guo Lu China	14	1.0k	494	143	88	63	54	1.2k
Jinyang Guo China	13	398 0.4×	53 0.1×	68 0.5×	21 0.2×	189 3.0×	34	524
Zhengxue Cheng Japan	11	943 0.9×	270 0.5×	39 0.3×	18 0.2×	104 1.7×	39	1.1k
S.A. Nene United States	7	488 0.5×	108 0.2×	27 0.2×	36 0.4×	93 1.5×	7	605
Jacob Ström Sweden	13	476 0.5×	141 0.3×	44 0.3×	238 2.7×	56 0.9×	30	602
Jianfeng Zhang China	12	539 0.5×	43 0.1×	41 0.3×	15 0.2×	98 1.6×	50	705
Fan Chen China	14	520 0.5×	67 0.1×	32 0.2×	24 0.3×	66 1.0×	67	640
Kazuo Toraichi Japan	11	363 0.4×	88 0.2×	91 0.6×	25 0.3×	58 0.9×	122	556
Ruichi Yu United States	7	586 0.6×	32 0.1×	110 0.8×	26 0.3×	355 5.6×	9	740
Benjamin Bross Germany	15	2.3k 2.3×	1.9k 3.9×	41 0.3×	47 0.5×	64 1.0×	62	2.6k
Honglei Su China	11	364 0.4×	36 0.1×	357 2.5×	160 1.8×	25 0.4×	21	652

Countries citing papers authored by Guo Lu

Since Specialization

Citations

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

Fields of papers citing papers by Guo Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Lu

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

1.

Wang, Sixian, et al.. (2025). Neural Hamiltonian Deformation Fields for Dynamic Scene Rendering. 1–11.

2.

Lu, Guo, et al.. (2025). Implicit-Explicit Integrated Representations for Multi-View Video Compression. IEEE Transactions on Image Processing. 34. 1106–1118. 2 indexed citations

3.

Zhang, Wenjun, Guo Lu, Zhiyong Chen, & Geoffrey Ye Li. (2025). Generative Video Communications: Concepts, Key Technologies, and Future Research Trends. Engineering.

4.

Li, Chunyi, Ling Xiao, Zicheng Zhang, et al.. (2025). Image Quality Assessment: From Human to Machine Preference. 7570–7581. 1 indexed citations

5.

Li, Chunyi, Haoning Wu, Zicheng Zhang, et al.. (2025). Towards a New Paradigm of Visual Signal Compression. DR-NTU (Nanyang Technological University). 12934–12941.

6.

Lu, Guo, et al.. (2024). Long-Term and Short-Term Information Propagation and Fusion for Learned Video Compression. IEEE Transactions on Broadcasting. 70(4). 1254–1265. 2 indexed citations

7.

Lu, Guo, et al.. (2024). Preprocessing Enhanced Image Compression for Machine Vision. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13556–13568. 6 indexed citations

8.

Li, Chunyi, Guo Lu, Haoning Wu, et al.. (2024). MISC: Ultra-Low Bitrate Image Semantic Compression Driven by Large Multimodal Model. IEEE Transactions on Image Processing. 34. 335–349. 4 indexed citations

9.

Zhao, Yan, et al.. (2024). An Efficient and Flexible Complexity Control Method for Versatile Video Coding. IEEE Transactions on Broadcasting. 71(1). 96–110. 2 indexed citations

10.

Yao, Wei, et al.. (2024). Video Encoding Enhancement via Content-Aware Spatial and Temporal Super-Resolution. SPIRE - Sciences Po Institutional REpository. 681–685.

11.

Zhang, Xinjie, Tongda Xu, Guo Lu, et al.. (2024). Task-Aware Encoder Control for Deep Video Compression. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 26036–26045. 1 indexed citations

12.

Cheng, Zhengxue, et al.. (2024). AsymLLIC: Asymmetric Lightweight Learned Image Compression. 1–5.

13.

Yang, Xiaoxuan, et al.. (2024). Coarse-to-fine Transformer For Lossless 3D Medical Image Compression. 1–5.

14.

Chen, Xueyuan, Zhihao Hu, Guo Lu, & Jiaheng Liu. (2023). A unified efficient deep image compression framework and its application on human-centric Task. Multimedia Tools and Applications. 83(29). 73407–73425. 1 indexed citations

15.

Guo, Jinyang, Dong Xu, & Guo Lu. (2023). CBANet: Toward Complexity and Bitrate Adaptive Deep Image Compression Using a Single Network. IEEE Transactions on Image Processing. 32. 2049–2062. 5 indexed citations

16.

Lu, Guo, et al.. (2021). Spatial Temporal Video Enhancement Using Alternating Exposures. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 4912–4926. 9 indexed citations

17.

Han, Tiantian, et al.. (2021). 365P The analysis of FGFR-gene family alterations in glioma. Annals of Oncology. 32. S524–S524.

18.

Cai, Chunlei, et al.. (2019). Efficient Learning Based Sub-pixel Image Compression. Computer Vision and Pattern Recognition. 0–0. 2 indexed citations

19.

Lu, Guo, et al.. (2017). 张量力在 16 O+ 16 O熔合动力学中的效应（英文）. 34(1). 41–45. 6 indexed citations

20.

Lu, Guo, et al.. (2007). Simultaneous Magneto-Optical Trapping of Fermionic ^40K and Bosonic ^87Rb Atoms. 中国物理快报：英文版. 24(6). 1541–1544. 1 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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