Zheng Lu

1.3k total citations · 1 hit paper
37 papers, 770 citations indexed

About

Zheng Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zheng Lu has authored 37 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Zheng Lu's work include Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (8 papers) and Advanced Vision and Imaging (8 papers). Zheng Lu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (8 papers) and Advanced Vision and Imaging (8 papers). Zheng Lu collaborates with scholars based in China, Singapore and United States. Zheng Lu's co-authors include Kristen Grauman, Michael S. Brown, Seon Joo Kim, Hai Lin, Sabine Süsstrunk, Stephen Lin, Dali Chen, Michael S. Brown, Tat‐Seng Chua and Meng Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Zheng Lu

35 papers receiving 738 citations

Hit Papers

Story-Driven Summarization for Egocentric Video 2013 2026 2017 2021 2013 100 200 300
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.

  1. Story-Driven Summarization for Egocentric Video
    2013 306 citations Zheng Lu et al. profile →

Peers

Zheng Lu
Christos G. Bampis United States
Arnaldo de Albuquerque Araújo Brazil
Maria Paula Queluz Portugal
Deepti Ghadiyaram United States
Anil Singh Parihar India
Jianping Fan China
Glenn Van Wallendael Belgium
R.J. Safranek United States
Christos G. Bampis United States
Zheng Lu
Citations per year, relative to Zheng Lu Zheng Lu (= 1×) peers Christos G. Bampis

Countries citing papers authored by Zheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Lu. A scholar is included among the top collaborators of Zheng 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 Zheng Lu. Zheng Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Zheng, et al.. (2025). Female executives, corporate life cycle and strategy preference: an empirical study based on text analysis. Gender in Management An International Journal. 40(2). 215–233.
2.
3.
Lu, Zheng & Dali Chen. (2020). Weakly Supervised and Semi-Supervised Semantic Segmentation for Optic Disc of Fundus Image. Symmetry. 12(1). 145–145. 22 indexed citations
4.
Pan, Feng, Zheng Lu, Dali Chen, & Dingyü Xue. (2020). An optic disk semantic segmentation method based on weakly supervised learning. 27. 4791–4794. 3 indexed citations
5.
Lu, Zheng, Dali Chen, Dingyü Xue, & Shibo Zhang. (2019). Weakly supervised semantic segmentation for optic disc of fundus image. Journal of Electronic Imaging. 28(3). 1–1. 3 indexed citations
6.
Lu, Zheng, Dali Chen, & Dingyü Xue. (2018). Survey of weakly supervised semantic segmentation methods. 1176–1180. 9 indexed citations
7.
Li, Chao, Zheng Lu, & Guangyou Fang. (2016). Terahertz imaging based on Hilbert receiver. 1–2. 2 indexed citations
8.
Han, Xiaowei, et al.. (2015). A New Template Tracking Algorithms Based on Active Drift Correction. 2. 1579–1584. 1 indexed citations
9.
Han, Xiaowei, Yuan Gao, Yong Cao, Zheng Lu, & Dun Niu. (2015). Video moving target binary image processing method based on OTSU. Advances in engineering research. 1 indexed citations
10.
Lu, Zheng & Ole J. Mengshoel. (2013). Optimizing parallel belief propagation in junction treesusing regression. Figshare. 757–765. 7 indexed citations
11.
Lu, Zheng, Xiaokang Yang, Weiyao Lin, Hongyuan Zha, & Xiaolin Chen. (2013). Inferring User Image-Search Goals Under the Implicit Guidance of Users. IEEE Transactions on Circuits and Systems for Video Technology. 24(3). 394–406. 10 indexed citations
12.
Wang, Meng, Guangda Li, Zheng Lu, Yue Gao, & Tat‐Seng Chua. (2013). When Amazon Meets Google. ACM Transactions on Internet Technology. 12(4). 1–17. 20 indexed citations
13.
Kim, Seon Joo, Hai Lin, Zheng Lu, et al.. (2012). A New In-Camera Imaging Model for Color Computer Vision and Its Application. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(12). 2289–2302. 107 indexed citations
14.
Yan, Rong, et al.. (2011). Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction. International Conference on Machine Learning. 409–416. 12 indexed citations
15.
Lu, Zheng, Xiaokang Yang, Weiyao Lin, Xiaolin Chen, & Hongyuan Zha. (2011). Inferring users' image-search goals with pseudo-images. 2158. 1–4. 3 indexed citations
16.
Amans, Matthew R., et al.. (2010). Wiimote Viewer Enhances Resident Case Conferences. Journal of the American College of Radiology. 7(10). 810–813. 1 indexed citations
17.
Lu, Zheng, Zheng Yi Wu, & Michael S. Brown. (2009). Directed assistance for ink-bleed reduction in old documents. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 10. 88–95. 8 indexed citations
18.
Yang, Xiaokang, Rui Zhang, Yi Xu, et al.. (2008). Shanghai Jiao Tong University participation in high-level feature extraction, automatic search and surveillance event detectionat TRECVID 2008.. TRECVID. 1 indexed citations
19.
Mei, Tao, Xian‐Sheng Hua, Wei Lai, et al.. (2007). MSRA-USTC-SJTU AT TRECVID 2007: HIGH-LEVEL FEATURE EXTRACTION AND SEARCH. TRECVID. 48(2). 161–71. 44 indexed citations
20.

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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