Linfeng Xu

993 total citations
80 papers, 647 citations indexed

About

Linfeng Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Linfeng Xu has authored 80 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Linfeng Xu's work include Domain Adaptation and Few-Shot Learning (18 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Visual Attention and Saliency Detection (16 papers). Linfeng Xu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (18 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Visual Attention and Saliency Detection (16 papers). Linfeng Xu collaborates with scholars based in China, Hong Kong and South Korea. Linfeng Xu's co-authors include Hongliang Li, Qingbo Wu, Fanman Meng, King Ngi Ngan, Liaoyuan Zeng, Guanghui Liu, Zhengning Wang, Xiaoyu Chen, Heqian Qiu and Hengcan Shi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Mathematics of Computation.

In The Last Decade

Linfeng Xu

70 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linfeng Xu China 15 492 154 117 50 44 80 647
Yongsheng Dong China 17 397 0.8× 111 0.7× 208 1.8× 88 1.8× 49 1.1× 58 700
Jordi Pont-Tuset Switzerland 5 1.2k 2.5× 127 0.8× 91 0.8× 16 0.3× 57 1.3× 5 1.3k
Fasheng Wang China 13 411 0.8× 62 0.4× 102 0.9× 44 0.9× 118 2.7× 62 557
Huaxin Xiao China 12 451 0.9× 155 1.0× 73 0.6× 27 0.5× 25 0.6× 42 563
Gedas Bertasius United States 14 823 1.7× 261 1.7× 110 0.9× 26 0.5× 36 0.8× 35 1.0k
Zhe Chen China 15 396 0.8× 79 0.5× 97 0.8× 39 0.8× 69 1.6× 65 601
Zhongying Deng China 6 506 1.0× 218 1.4× 83 0.7× 16 0.3× 23 0.5× 15 632
Shunzhou Wang China 12 578 1.2× 151 1.0× 172 1.5× 20 0.4× 30 0.7× 25 673
Chaowei Fang China 14 380 0.8× 187 1.2× 80 0.7× 9 0.2× 43 1.0× 50 554

Countries citing papers authored by Linfeng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Linfeng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linfeng Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Linfeng Xu. A scholar is included among the top collaborators of Linfeng Xu 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 Linfeng Xu. Linfeng Xu 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.
Wang, Lei, Qingbo Wu, King Ngi Ngan, et al.. (2025). Learning With Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration. IEEE Transactions on Multimedia. 27. 5617–5631.
2.
Xu, Linfeng, et al.. (2025). Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion. IEEE Transactions on Multimedia. 27. 4151–4166.
3.
Meng, Fanman, et al.. (2024). Advancing zero-shot semantic segmentation through attribute correlations. Neurocomputing. 594. 127829–127829.
4.
Wu, Qingbo, et al.. (2024). High efficiency deep image compression via channel-wise scale adaptive latent representation learning. Signal Processing Image Communication. 130. 117227–117227. 3 indexed citations
5.
Wu, Qingbo, et al.. (2024). Cross-Modal Cognitive Consensus Guided Audio–Visual Segmentation. IEEE Transactions on Multimedia. 27. 209–223. 1 indexed citations
6.
Xu, Linfeng, et al.. (2024). Continual Egocentric Activity Recognition With Foreseeable-Generalized Visual–IMU Representations. IEEE Sensors Journal. 24(8). 12934–12945. 3 indexed citations
7.
Meng, Fanman, et al.. (2024). Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond. IEEE Transactions on Multimedia. 26. 7197–7209. 11 indexed citations
8.
Wu, Qingbo, et al.. (2023). Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment. IEEE Transactions on Multimedia. 25. 8817–8827. 16 indexed citations
9.
Qiu, Heqian, Hongliang Li, Qingbo Wu, et al.. (2023). Learning Offset Probability Distribution for Accurate Object Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(5). 1–24. 2 indexed citations
10.
Xu, Linfeng, et al.. (2023). Towards Continual Egocentric Activity Recognition: A Multi-Modal Egocentric Activity Dataset for Continual Learning. IEEE Transactions on Multimedia. 26. 2430–2443. 12 indexed citations
11.
Zhang, Minjian, et al.. (2023). DRDet: Dual-Angle Rotated Line Representation for Oriented Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 6 indexed citations
12.
Li, Hongliang, Minjian Zhang, Heqian Qiu, et al.. (2023). CrowdCaption++: Collective-Guided Crowd Scenes Captioning. IEEE Transactions on Multimedia. 26. 4974–4986.
13.
Li, Hongliang, et al.. (2022). Bias-Correction Feature Learner for Semi-Supervised Instance Segmentation. IEEE Transactions on Multimedia. 25. 5852–5863. 5 indexed citations
14.
Zhang, Xiaoliang, Hongliang Li, Fanman Meng, Zichen Song, & Linfeng Xu. (2021). Segmenting Beyond the Bounding Box for Instance Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 32(2). 704–714. 28 indexed citations
15.
Liu, Yuxuan, et al.. (2021). A few shot segmentation method combining global and local similarity. Beijing Hangkong Hangtian Daxue xuebao. 47(3). 665. 1 indexed citations
16.
Wang, Lei, Qingbo Wu, King Ngi Ngan, et al.. (2020). Blind Tone-mapped Image Quality Assessment and Enhancement via Disentangled Representation Learning. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1096–1102. 1 indexed citations
17.
Qiu, Heqian, Hongliang Li, Qingbo Wu, et al.. (2020). Hierarchical Context Features Embedding for Object Detection. IEEE Transactions on Multimedia. 22(12). 3039–3050. 45 indexed citations
18.
Chen, Xiaoyu, Hongliang Li, Qingbo Wu, King Ngi Ngan, & Linfeng Xu. (2020). High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network. IEEE Transactions on Circuits and Systems for Video Technology. 31(2). 715–727. 64 indexed citations
19.
Wu, Qingbo, Lei Wang, King Ngi Ngan, et al.. (2020). Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image. IEEE Transactions on Circuits and Systems for Video Technology. 30(11). 3883–3897. 50 indexed citations
20.
Li, Wei, Hongliang Li, Qingbo Wu, et al.. (2019). HeadNet: An End-to-End Adaptive Relational Network for Head Detection. IEEE Transactions on Circuits and Systems for Video Technology. 30(2). 482–494. 33 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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