Jian Lü

601 total citations
59 papers, 375 citations indexed

About

Jian Lü is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jian Lü has authored 59 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Jian Lü's work include Video Surveillance and Tracking Methods (15 papers), Human Pose and Action Recognition (11 papers) and Advanced Image Processing Techniques (10 papers). Jian Lü is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Human Pose and Action Recognition (11 papers) and Advanced Image Processing Techniques (10 papers). Jian Lü collaborates with scholars based in China, United States and Canada. Jian Lü's co-authors include Kaibing Zhang, Yi Sun, Minqi Li, Wei Liu, Kaibing Zhang, Xu Chen, Chris King‐Chi Chan, Weidong Hu, Jun Jiang and Xiaojian Hu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jian Lü

50 papers receiving 358 citations

Peers

Jian Lü
Sheng Liu China
Boxiong Yang China
Ali Hassani United States
Xiaoli Sun China
Honghui Fan China
Zequn Qin China
Zongmin Li China
Sheng Liu China
Jian Lü
Citations per year, relative to Jian Lü Jian Lü (= 1×) peers Sheng Liu

Countries citing papers authored by Jian Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jian Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Lü. A scholar is included among the top collaborators of Jian Lü 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 Jian Lü. Jian Lü 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.
Lü, Jian, et al.. (2025). Selectable receptive-field graph convolution networks for skeleton-based action recognition. Applied Soft Computing. 179. 113305–113305.
2.
3.
Lü, Jian, et al.. (2024). Dual fusion network for semantic segmentation of point clouds. Optics and Lasers in Engineering. 177. 108118–108118. 2 indexed citations
4.
Lü, Jian, et al.. (2024). MATNet: Semantic segmentation of 3D point clouds with multiscale adaptive transformer. Computers & Electrical Engineering. 119. 109526–109526. 1 indexed citations
5.
Zhang, Kaibing, Dongdong Zheng, Jie Li, Xinbo Gao, & Jian Lü. (2023). Coupled discriminative manifold alignment for low-resolution face recognition. Pattern Recognition. 147. 110049–110049. 7 indexed citations
6.
Lü, Jian, et al.. (2023). CHAN: Skeleton based action recognition by multi‐level feature learning. Computer Animation and Virtual Worlds. 34(6).
7.
Lü, Jian, et al.. (2023). Multi‐temporal scale aggregation refinement graph convolutional network for skeleton‐based action recognition. Computer Animation and Virtual Worlds. 35(1). 4 indexed citations
8.
Wang, Tao, et al.. (2023). Context Attention Fusion Network for crowd counting. Knowledge-Based Systems. 271. 110541–110541. 22 indexed citations
9.
Lü, Jian, et al.. (2023). Dynamic feature weakening for cross-modality person re-identification. Computers & Electrical Engineering. 109. 108755–108755. 4 indexed citations
10.
Zhang, Tingyue, et al.. (2022). Joint channel-spatial attention network for super-resolution image quality assessment. Applied Intelligence. 52(15). 17118–17132. 10 indexed citations
11.
Lü, Jian, et al.. (2022). Bi-Directional Style Adaptation Network for Person Re-Identification. IEEE Sensors Journal. 22(12). 12339–12347. 7 indexed citations
12.
Li, Minqi, et al.. (2022). Multi-level landmark-guided deep network for face super-resolution. Neural Networks. 152. 276–286. 14 indexed citations
13.
Luo, Hao, et al.. (2022). Salient double reconstruction-based discriminative projective dictionary pair learning for crowd counting. Applied Intelligence. 53(2). 1981–1996. 2 indexed citations
14.
Lü, Jian, et al.. (2021). A geometric calibration approach for an industrial cone-beam CT system based on a low-rank phantom. Measurement Science and Technology. 33(3). 35401–35401. 3 indexed citations
15.
Chen, Yue & Jian Lü. (2021). A Multi-Loop Vehicle-Counting Method under Gray Mode and RGB Mode. Applied Sciences. 11(15). 6831–6831. 4 indexed citations
16.
Zhang, Kaibing, et al.. (2020). Graph clustering‐based crowd counting with very limited labelled samples. Electronics Letters. 56(14). 709–712. 3 indexed citations
17.
Zheng, Dongdong, Kaibing Zhang, Jian Lü, Junfeng Jing, & Zenggang Xiong. (2020). Active Discriminative Cross-Domain Alignment for Low-Resolution Face Recognition. IEEE Access. 8. 97503–97515.
18.
Dong, Jian, et al.. (2020). Feature Detection and Matching With Linear Adjustment and Adaptive Thresholding. IEEE Access. 8. 189735–189746. 8 indexed citations
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20.
Zhu, Jihua, et al.. (2018). Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors. PLoS ONE. 13(9). e0203139–e0203139. 4 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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