Lv Tang

711 total citations · 1 hit paper
28 papers, 382 citations indexed

About

Lv Tang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Lv Tang has authored 28 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 4 papers in Mechanical Engineering. Recurrent topics in Lv Tang's work include Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Data Compression Techniques (6 papers). Lv Tang is often cited by papers focused on Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Data Compression Techniques (6 papers). Lv Tang collaborates with scholars based in China and United States. Lv Tang's co-authors include Bo Li, Shouhong Ding, Shuang Wu, Zhengxing Sun, Jinlong Shi, Bo Li, Jianping Xuan, Xinfeng Zhang, Qing Zhang and Tielin Shi and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Neural Networks.

In The Last Decade

Lv Tang

21 papers receiving 375 citations

Hit Papers

Detecting Camouflaged Object in Frequency Domain 2022 2026 2023 2024 2022 50 100 150
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. Detecting Camouflaged Object in Frequency Domain
    2022 172 citations Bo Li, Lv Tang 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
Lv Tang China 9 265 53 38 29 28 28 382
Fushuo Huo China 8 257 1.0× 47 0.9× 74 1.9× 47 1.6× 19 0.7× 14 326
Qi Han China 6 273 1.0× 52 1.0× 48 1.3× 47 1.6× 11 0.4× 14 357
Xuegui Zhu China 9 227 0.9× 40 0.8× 66 1.7× 62 2.1× 56 2.0× 20 417
Xiaoming Huang China 9 240 0.9× 25 0.5× 52 1.4× 13 0.4× 17 0.6× 27 309
Guofeng Zhang China 11 277 1.0× 23 0.4× 29 0.8× 93 3.2× 8 0.3× 34 346
Christophe Sabourin France 9 104 0.4× 71 1.3× 36 0.9× 21 0.7× 33 1.2× 36 301
Yongjiang Luo China 8 212 0.8× 26 0.5× 63 1.7× 37 1.3× 6 0.2× 14 292
C. Xie China 12 227 0.9× 17 0.3× 52 1.4× 50 1.7× 9 0.3× 38 448
Shuhan Chen China 8 252 1.0× 52 1.0× 43 1.1× 28 1.0× 5 0.2× 18 323

Countries citing papers authored by Lv Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lv Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lv Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lv Tang. A scholar is included among the top collaborators of Lv Tang 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 Lv Tang. Lv Tang 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.
Zhang, Xinfeng, et al.. (2025). UAR-NVC: A Unified Autoregressive Framework for Memory-Efficient Neural Video Compression. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 1681–1695.
2.
Tang, Lv, et al.. (2025). Disentangled self-supervised video camouflaged object detection and salient object detection. Neural Networks. 194. 108077–108077.
3.
Tang, Lv, et al.. (2025). Boosting Vision State Space Model with Fractal Scanning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(8). 8646–8654.
4.
Li, Shaochen, Jianping Xuan, Qing Zhang, et al.. (2024). Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure. Advanced Engineering Informatics. 62. 102641–102641. 7 indexed citations
5.
Tang, Lv, et al.. (2024). Towards Training-Free Open-World Segmentation via Image Prompt Foundation Models. International Journal of Computer Vision. 133(1). 1–15. 5 indexed citations
6.
7.
Zhang, Xinfeng, et al.. (2024). Unified and Scalable Deep Image Compression Framework for Human and Machine. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–22. 4 indexed citations
8.
9.
Tang, Lv, et al.. (2024). Zero-Shot Co-Salient Object Detection Framework. 4010–4014. 5 indexed citations
10.
Tang, Lv & Xinfeng Zhang. (2024). High Efficiency Deep-learning Based Video Compression. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–23. 1 indexed citations
11.
Ma, Xiaoqi, et al.. (2023). HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression Scheme. 2265–2269. 2 indexed citations
12.
Zhang, Xinfeng, et al.. (2023). Enhanced Quantified Local Implicit Neural Representation for Image Compression. IEEE Signal Processing Letters. 30. 1742–1746. 9 indexed citations
13.
Ma, Xiaoqi, et al.. (2022). Foldingnet-Based Geometry Compression of Point Cloud with Multi Descriptions. 1–6. 5 indexed citations
14.
Li, Bo, et al.. (2022). Toward Stable Co-Saliency Detection and Object Co-Segmentation. IEEE Transactions on Image Processing. 31. 6532–6547. 15 indexed citations
15.
Xiao, Bo, et al.. (2022). Rethinking Two-B-Real Net for Real-Time Salient Object Detection. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2005–2009. 4 indexed citations
16.
Wang, Zisheng, Qing Zhang, Lv Tang, Tielin Shi, & Jianping Xuan. (2022). Transfer reinforcement learning method with multi-label learning for compound fault recognition. Advanced Engineering Informatics. 55. 101818–101818. 27 indexed citations
17.
Tang, Lv, et al.. (2021). Fast: Feature Aggregation for Detecting Salient Object in Real-Time. 1525–1529. 11 indexed citations
18.
Li, Bo, et al.. (2021). Highly Efficient Natural Image Matting.
19.
Zhang, Leilei, et al.. (2020). Robust, fractal theory, and FEM-based temperature field analysis for machine tool spindle. The International Journal of Advanced Manufacturing Technology. 111(5-6). 1571–1586. 8 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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