Hu Lu

1.0k total citations
52 papers, 668 citations indexed

About

Hu Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Hu Lu has authored 52 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 10 papers in Cognitive Neuroscience. Recurrent topics in Hu Lu's work include Functional Brain Connectivity Studies (9 papers), Video Surveillance and Tracking Methods (7 papers) and Complex Network Analysis Techniques (6 papers). Hu Lu is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Video Surveillance and Tracking Methods (7 papers) and Complex Network Analysis Techniques (6 papers). Hu Lu collaborates with scholars based in China, United States and United Kingdom. Hu Lu's co-authors include Q.T. Zhang, Hui Wei, Yuqing Song, Shaohua Wan, Zhe Liu, Pingping Zhang, Shang Gao, Dong Wang, Yirui Wu and Zonghua Gu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Hu Lu

46 papers receiving 656 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hu Lu	276	169	130	119	95	52	668
Xiaojun Wu	286 1.0×	132 0.8×	134 1.0×	112 0.9×	100 1.1×	105	794
Kashu Yamazaki	188 0.7×	250 1.5×	130 1.0×	201 1.7×	63 0.7×	20	657
Zhengxia Wang	102 0.4×	162 1.0×	176 1.4×	177 1.5×	78 0.8×	56	793
Viet-Khoa Vo-Ho	148 0.5×	209 1.2×	123 0.9×	185 1.6×	56 0.6×	29	528
Jzau‐Sheng Lin	250 0.9×	190 1.1×	111 0.9×	82 0.7×	44 0.5×	42	590
Haitao Gan	255 0.9×	354 2.1×	163 1.3×	62 0.5×	48 0.5×	77	746
Aggelos Pikrakis	289 1.0×	236 1.4×	83 0.6×	104 0.9×	77 0.8×	66	832
Masakazu Matsugu	278 1.0×	166 1.0×	63 0.5×	61 0.5×	29 0.3×	18	601
Juergen Schmidhuber	279 1.0×	588 3.5×	123 0.9×	53 0.4×	36 0.4×	44	973
Jihoon Park	74 0.3×	258 1.5×	93 0.7×	230 1.9×	104 1.1×	60	552

Countries citing papers authored by Hu Lu

Since Specialization

Citations

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

Fields of papers citing papers by Hu Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Lu

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

All Works

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20 of 20 papers shown

Lu, Hu, et al.. (2025). Local-Aware Residual Attention Vision Transformer for Visible-Infrared Person Re-Identification. ACM Transactions on Multimedia Computing Communications and Applications. 21(5). 1–24. 2 indexed citations

Zhou, Hang, Ye Liao, Ziyu Han, et al.. (2025). Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province. Agronomy. 15(6). 1478–1478. 1 indexed citations

Zhang, Weiqi, et al.. (2025). T cell aging and exhaustion: Mechanisms and clinical implications. Clinical Immunology. 275. 110486–110486. 1 indexed citations

Li, Yuxin, et al.. (2025). CM-DASN: visible-infrared cross-modality person re-identification via dynamic attention selection network. Multimedia Systems. 31(2). 1 indexed citations

Li, Yajun, et al.. (2025). Workspace-based hybrid force position posture alignment for high quality aircraft assembly of large-scale components. Chinese Journal of Aeronautics. 39(1). 103414–103414.

Shi, Fuhao, Shaohua Wan, Shengli Wu, Hui Wei, & Hu Lu. (2025). Deep contrastive coordinated multi-view consistency clustering. Machine Learning. 114(3).

Cheng, Ke, et al.. (2024). MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification. Pattern Recognition. 159. 111090–111090. 10 indexed citations

Lu, Hu, et al.. (2024). Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis. Neural Processing Letters. 56(2). 2 indexed citations

Cheng, Ke, et al.. (2024). Learning shared features from specific and ambiguous descriptions for text-based person search. Multimedia Systems. 30(2). 4 indexed citations

10.

Zhang, Pingping, et al.. (2024). TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5758–5766. 14 indexed citations

11.

Lu, Hu, et al.. (2023). A Masked Autoencoder -Based Approach for Defect Classification in Semiconductor Manufacturing. 1–4. 1 indexed citations

12.

Lu, Hu, et al.. (2023). Soft-orthogonal constrained dual-stream encoder with self-supervised clustering network for brain functional connectivity data. Expert Systems with Applications. 244. 122898–122898. 15 indexed citations

13.

Lu, Hu, et al.. (2023). Data Fusion-based graph representation learning for brain disease recognition. 33. 1–5.

14.

Lu, Hu, et al.. (2020). Deep multi-kernel auto-encoder network for clustering brain functional connectivity data. Neural Networks. 135. 148–157. 26 indexed citations

15.

Song, Yuqing, et al.. (2019). Characterizing and Predicting Autism Spectrum Disorder by Performing Resting-State Functional Network Community Pattern Analysis. Frontiers in Human Neuroscience. 13. 203–203. 24 indexed citations

16.

Sun, Jun, et al.. (2018). Recognition of crop seedling and weed recognition based on dilated convolution and global pooling in CNN.. Nongye gongcheng xuebao. 34(11). 159–165. 12 indexed citations

17.

Lu, Hu, et al.. (2015). Partitioning the Firing Patterns of Spike Trains by Community Modularity.. Cognitive Science. 1 indexed citations

18.

Lu, Hu, et al.. (2014). Hierarchical organization in neuronal functional networks during working memory tasks. 446–451. 1 indexed citations

19.

Lu, Hu, Shengtao Yang, Longnian Lin, Bao‐Ming Li, & Hui Wei. (2013). Prediction of Rat Behavior Outcomes in Memory Tasks Using Functional Connections among Neurons. PLoS ONE. 8(9). e74298–e74298. 9 indexed citations

20.

Lu, Hu. (2008). Intrusion Detection Based on PCA and Feature-weighted Fuzzy Clustering. 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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