Zhenyu Lu

1.1k total citations · 1 hit paper
30 papers, 658 citations indexed

About

Zhenyu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zhenyu Lu has authored 30 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Zhenyu Lu's work include Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (5 papers) and Advanced Neural Network Applications (4 papers). Zhenyu Lu is often cited by papers focused on Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (5 papers) and Advanced Neural Network Applications (4 papers). Zhenyu Lu collaborates with scholars based in China, United States and Portugal. Zhenyu Lu's co-authors include Josh Bongard, Xindong Wu, Yonggang Lu, Xiangwen Wang, Yue Xi, Xingquan Zhu, Bruce I. Tranmer, Anand I. Rughani, Zhongliang Lv and Michael A. Horgan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Zhenyu Lu

28 papers receiving 636 citations

Hit Papers

Comprehensive survey on hierarchical clustering algorithm... 2022 2026 2023 2024 2022 40 80 120
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. Comprehensive survey on hierarchical clustering algorithms and the recent developments
    2022 131 citations Yonggang Lu, Zhenyu Lu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenyu Lu China 12 202 152 91 66 42 30 658
Weimin Wang China 17 120 0.6× 329 2.2× 51 0.6× 64 1.0× 16 0.4× 81 1.1k
Charles Truong France 8 180 0.9× 66 0.4× 15 0.2× 31 0.5× 16 0.4× 25 771
Yangli‐ao Geng China 12 86 0.4× 94 0.6× 83 0.9× 73 1.1× 13 0.3× 33 499
José Fonseca Portugal 16 134 0.7× 101 0.7× 12 0.1× 12 0.2× 15 0.4× 94 682
Seniha Esen Yüksel Türkiye 13 215 1.1× 280 1.8× 50 0.5× 54 0.8× 18 0.4× 75 837
Bo Jin China 14 183 0.9× 206 1.4× 38 0.4× 117 1.8× 39 0.9× 72 857
Nameirakpam Dhanachandra India 5 241 1.2× 404 2.7× 48 0.5× 20 0.3× 45 1.1× 5 923
Manish Dixit India 18 147 0.7× 244 1.6× 13 0.1× 15 0.2× 47 1.1× 83 1.0k

Countries citing papers authored by Zhenyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Lu. A scholar is included among the top collaborators of Zhenyu 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 Zhenyu Lu. Zhenyu 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.
Yu, Biao, Zhenyu Lu, & Weiwei Qian. (2025). Wavelet-denoised graph-Informer for accurate and stable wind speed prediction. Applied Soft Computing. 176. 113182–113182. 4 indexed citations
2.
Lu, Zhenyu & Yonggang Lu. (2024). Disentangling the intrinsic feature from the related feature in image classification using knowledge distillation and object replacement. Expert Systems with Applications. 246. 123193–123193. 1 indexed citations
3.
Liu, Lilan, Zhenyu Lu, Cancan Li, et al.. (2024). Long-term exposure to the mixture of phthalates induced male reproductive toxicity in rats and the alleviative effects of quercetin. Toxicology and Applied Pharmacology. 483. 116816–116816. 15 indexed citations
4.
5.
Yuan, Bin, Jia Yan, Zhenyu Lu, et al.. (2024). MQTTactic: Security Analysis and Verification for Logic Flaws in MQTT Implementations. 2385–2403. 7 indexed citations
6.
Liu, Lilan, Zhenyu Lu, Jie Zheng, et al.. (2024). Alleviative effect of quercetin against reproductive toxicity induced by chronic exposure to the mixture of phthalates in male rats. Ecotoxicology and Environmental Safety. 270. 115920–115920. 7 indexed citations
7.
Lv, Zhongliang, et al.. (2024). LAACNet: Lightweight adaptive activation convolution network-based defect detection on polished metal surfaces. Engineering Applications of Artificial Intelligence. 133. 108482–108482. 20 indexed citations
8.
Zhou, Chuande, et al.. (2023). Metal surface defect detection based on improved YOLOv5. Scientific Reports. 13(1). 20803–20803. 25 indexed citations
9.
Xia, Kewen, Zhongliang Lv, Kang Liu, et al.. (2023). Global contextual attention augmented YOLO with ConvMixer prediction heads for PCB surface defect detection. Scientific Reports. 13(1). 9805–9805. 51 indexed citations
10.
Lu, Zhenyu & Yonggang Lu. (2023). Enhancing the reliability of image classification using the intrinsic features. Knowledge-Based Systems. 263. 110256–110256. 5 indexed citations
11.
12.
Ruiz-Santaquiteria, Jesús, Zhenyu Lu, K J Joseph, et al.. (2023). Data-Free Class-Incremental Hand Gesture Recognition. 20901–20910. 4 indexed citations
13.
14.
Bongard, Josh, Paul Hines, Dylan Conger, Peter L. Hurd, & Zhenyu Lu. (2013). Crowdsourcing Predictors of Behavioral Outcomes. IEEE Transactions on Systems Man and Cybernetics Systems. 43(1). 176–185. 28 indexed citations
15.
Ding, Wei, T. F. Stepinski, L. Bandeira, et al.. (2010). Automatic detection of craters in planetary images. 749–758. 13 indexed citations
16.
Lu, Zhenyu & Josh Bongard. (2009). Exploiting multiple classifier types with active learning. 1905–1906. 9 indexed citations
17.
Lu, Zhenyu, Xindong Wu, & Josh Bongard. (2009). Active Learning with Adaptive Heterogeneous Ensembles. 327–336. 7 indexed citations
18.
Satterfield, Mary B., Katrice A. Lippa, Zhenyu Lu, & Marc Salit. (2008). Microarray scanner performance over a five-week period as measured with Cy5 and Cy3 serial dilution slides. Journal of Research of the National Institute of Standards and Technology. 113(3). 157–157. 7 indexed citations
19.
Lu, Zhenyu, Anand I. Rughani, Bruce I. Tranmer, & Josh Bongard. (2008). Informative sampling for large unbalanced data sets. 2047–2054. 7 indexed citations
20.
Yang, Taibao, Jijun Li, Jinfeng Liu, et al.. (2005). Millennial-scale Holocene climate variability in the NW China drylands and links to the tropical Pacific and the North Atlantic. Palaeogeography Palaeoclimatology Palaeoecology. 233(1-2). 149–162. 65 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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