Cheng-Ze Lu

2.1k total citations · 2 hit papers
8 papers, 758 citations indexed

About

Cheng-Ze Lu is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Cheng-Ze Lu has authored 8 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Astronomy and Astrophysics and 1 paper in Artificial Intelligence. Recurrent topics in Cheng-Ze Lu's work include Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Image Processing Techniques (2 papers). Cheng-Ze Lu is often cited by papers focused on Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Image Processing Techniques (2 papers). Cheng-Ze Lu collaborates with scholars based in China and United States. Cheng-Ze Lu's co-authors include Ming‐Ming Cheng, Meng-Hao Guo, Zheng-Ning Liu, Shi‐Min Hu, Qibin Hou, Jiashi Feng, Chunle Guo, Zhen Li, Jianhua Qin and Xiaohui Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing and Computational Visual Media.

In The Last Decade

Cheng-Ze Lu

7 papers receiving 736 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.

Visual attention network

2023 529 citations Meng-Hao Guo, Cheng-Ze Lu et al. Computational Visual Media profile →
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition

2024 62 citations Qibin Hou, Cheng-Ze Lu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng-Ze Lu China	4	477	158	157	58	57	8	758
Jiachen Li China	11	500 1.0×	112 0.7×	179 1.1×	35 0.6×	76 1.3×	21	694
Shoubhik Debnath United States	5	320 0.7×	80 0.5×	147 0.9×	70 1.2×	60 1.1×	9	699
Alexandre Sablayrolles France	5	437 0.9×	102 0.6×	261 1.7×	72 1.2×	42 0.7×	7	756
Gedas Bertasius United States	14	823 1.7×	110 0.7×	261 1.7×	46 0.8×	36 0.6×	35	1.0k
Jianbo Jiao United Kingdom	17	780 1.6×	204 1.3×	231 1.5×	94 1.6×	54 0.9×	58	1.0k
Zhuang Liu China	7	278 0.6×	71 0.4×	183 1.2×	68 1.2×	35 0.6×	21	673
Diganta Misra India	4	552 1.2×	128 0.8×	187 1.2×	77 1.3×	99 1.7×	8	958
Francisco Massa	2	368 0.8×	91 0.6×	204 1.3×	67 1.2×	43 0.8×	2	658
Fengxiang He China	16	572 1.2×	122 0.8×	345 2.2×	99 1.7×	42 0.7×	36	997

Countries citing papers authored by Cheng-Ze Lu

Since Specialization

Citations

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

Fields of papers citing papers by Cheng-Ze Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Ze Lu

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

8 of 8 papers shown

1.

Lu, Cheng-Ze & Cheng Su. (2025). Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data. Remote Sensing. 17(13). 2115–2115. 2 indexed citations

2.

Hou, Qibin, Cheng-Ze Lu, Ming‐Ming Cheng, & Jiashi Feng. (2024). Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8274–8283. 62 indexed citations breakdown →

3.

Guo, Meng-Hao, Cheng-Ze Lu, Zheng-Ning Liu, Ming‐Ming Cheng, & Shi‐Min Hu. (2023). Visual attention network. Computational Visual Media. 9(4). 733–752. 529 indexed citations breakdown →

4.

Lu, Cheng-Ze, Qibin Hou, Ming‐Ming Cheng, et al.. (2023). Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2506–2517. 74 indexed citations

5.

Guo, Meng-Hao, et al.. (2022). SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. 1140–1156.

6.

Li, Zhen, Cheng-Ze Lu, Jianhua Qin, Chunle Guo, & Ming‐Ming Cheng. (2022). Towards An End-to-End Framework for Flow-Guided Video Inpainting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17541–17550. 88 indexed citations

7.

Lu, Cheng-Ze, et al.. (2013). COMPUTABLE IMPLEMENTATION OF ``FUNDAMENTAL THEOREM OF ALGEBRA". International Journal of Pure and Apllied Mathematics. 86(1). 1 indexed citations

8.

Mu, Lin, et al.. (2009). A New Global Image of the Moon by Chinese Chang'E Probe. Lunar and Planetary Science Conference. 2568. 2 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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