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.
DEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention
This map shows the geographic impact of Zhe‐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 Zhe‐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 Zhe‐Ming Lu more than expected).
This network shows the impact of papers produced by Zhe‐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 Zhe‐Ming Lu. The network helps show where Zhe‐Ming Lu may publish in the future.
Co-authorship network of co-authors of Zhe‐Ming Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhe‐Ming Lu.
A scholar is included among the top collaborators of Zhe‐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 Zhe‐Ming Lu. Zhe‐Ming Lu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lu, Zhe‐Ming, et al.. (2019). A Robust Community Detection in Temporal Networks Based on Random Walks.. J. Inf. Hiding Multim. Signal Process.. 10. 11–18.1 indexed citations
5.
Liu, Feng, et al.. (2018). Zero Watermarking Scheme Based on U and V Matrices of Quaternion Singular Value Decomposition for Color Images.. J. Inf. Hiding Multim. Signal Process.. 9. 629–640.3 indexed citations
6.
Wang, Hui, et al.. (2016). Face Recognition Based on LDA and Improved Pairwise-Constrained Multiple Metric Learning Method.. J. Inf. Hiding Multim. Signal Process.. 7.4 indexed citations
7.
Liu, Feifei, et al.. (2015). Palmprint Feature Extraction Based on Curvelet Transform.. J. Inf. Hiding Multim. Signal Process.. 6. 131–139.11 indexed citations
8.
Lu, Zhe‐Ming, et al.. (2015). The Elimination Eyelash Iris Recognition Based on Local Median Frequency Gabor Filters.. J. Inf. Hiding Multim. Signal Process.. 6. 491–499.1 indexed citations
9.
Lu, Zhe‐Ming, et al.. (2015). Multi-scale shot segmentation based on weighted subregion color histogram. J. Inf. Hiding Multim. Signal Process.. 6. 622–628.2 indexed citations
10.
Sun, Jie, et al.. (2014). Iris Recognition Using Curvelet Transform Based on Principal Component Analysis and Linear Discriminant Analysis.. J. Inf. Hiding Multim. Signal Process.. 5. 567–573.7 indexed citations
11.
Lu, Zhe‐Ming, et al.. (2014). Face Recognition Based on Multi-Wavelet and Sparse Representation. J. Inf. Hiding Multim. Signal Process.. 5. 399–407.7 indexed citations
12.
Lu, Zhe‐Ming, et al.. (2014). A skin color model based on modified GLHS space for face detection. J. Inf. Hiding Multim. Signal Process.. 5. 144–151.9 indexed citations
13.
Lu, Zhe‐Ming, et al.. (2011). BLIND FRAGILE IMAGE WATERMARKING BASED ON VECTOR QUANTIZATION AND BLOCK TRUNCATION CODING. 2(4). 905–910.3 indexed citations
14.
Yu, Faxin, et al.. (2010). Robust Image Hashing Based on Statistical Invariance of DCT Coefficients.. J. Inf. Hiding Multim. Signal Process.. 1. 286–291.1 indexed citations
15.
Yu, Faxin, et al.. (2008). Multi-feature based fire detection in video. International journal of innovative computing, information & control. 4(8).4 indexed citations
Chu, Shu‐Chuan, John F. Roddick, Zhe‐Ming Lu, & Jeng‐Shyang Pan. (2004). A digital image watermarking method based on labeled bisecting clustering algorithm. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(1). 282–285.10 indexed citations
19.
Lu, Zhe‐Ming, Dianguo Xu, & Sheng-He Sun. (2003). Fast Codeword Search Algorithm for Image Vector Quantization Based on Ordered Hadamard Transform. IEICE Transactions on Information and Systems. 86(7). 1318–1320.
20.
Lu, Zhe‐Ming, Xing Wen, Dianguo Xu, & Sheng-He Sun. (2003). Digital Image Watermarking Method Based on Vector Quantization with Labeled Codewords. IEICE Transactions on Information and Systems. 86(12). 2786–2789.15 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.