Yuelong Xia

494 total citations · 1 hit paper
19 papers, 302 citations indexed

About

Yuelong Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yuelong Xia has authored 19 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Yuelong Xia's work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image Fusion Techniques (2 papers). Yuelong Xia is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image Fusion Techniques (2 papers). Yuelong Xia collaborates with scholars based in China, United Kingdom and United States. Yuelong Xia's co-authors include Yun Yang, Ke Chen, Yungang Zhang, Lijun Yun, Zaiqing Chen, Xue Chen, Qiongwei Ye, Feiyan Cheng, Pei Wang and Xinfa Li and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Expert Systems with Applications.

In The Last Decade

Yuelong Xia

17 papers receiving 295 citations

Hit Papers

align trajectories

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.

Dual residual attention network for image denoising

2024 76 citations Yuelong Xia, Yungang Zhang et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuelong Xia China	8	136	126	55	28	24	19	302
Gunnam Suryanarayana India	9	121 0.9×	55 0.4×	76 1.4×	37 1.3×	15 0.6×	36	329
Rafikha Aliana A. Raof Malaysia	10	124 0.9×	50 0.4×	51 0.9×	31 1.1×	13 0.5×	36	296
Guangyao Chen China	5	138 1.0×	238 1.9×	32 0.6×	25 0.9×	10 0.4×	11	391
Zhigang Dai China	5	298 2.2×	161 1.3×	67 1.2×	18 0.6×	13 0.5×	6	431
Qinghao Hu China	7	208 1.5×	128 1.0×	31 0.6×	12 0.4×	10 0.4×	14	320
Chung Văn Lê Vietnam	8	106 0.8×	56 0.4×	29 0.5×	37 1.3×	46 1.9×	20	238
Parul Sahare India	9	179 1.3×	54 0.4×	104 1.9×	24 0.9×	15 0.6×	19	286
Bhavneet Kaur India	6	125 0.9×	47 0.4×	52 0.9×	15 0.5×	12 0.5×	30	238
Swarnendu Ghosh India	9	121 0.9×	86 0.7×	27 0.5×	20 0.7×	19 0.8×	17	235
Jianbiao He China	8	155 1.1×	69 0.5×	18 0.3×	27 1.0×	20 0.8×	28	256

Countries citing papers authored by Yuelong Xia

Since Specialization

Citations

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

Fields of papers citing papers by Yuelong Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuelong Xia

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Xia, Yuelong, et al.. (2025). Multi-Label Prototype-Aware Structured Contrastive Distillation. Tsinghua Science & Technology. 30(4). 1808–1830.

Yu, Zhenyu, et al.. (2025). ForgetMe: Benchmarking the selective forgetting capabilities of generative models. Engineering Applications of Artificial Intelligence. 161. 112087–112087.

Han, Yuqi, Chengcheng Wang, Hui Luo, et al.. (2025). LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design. Scientific Reports. 15(1). 22627–22627. 4 indexed citations

Yun, Lijun, et al.. (2024). Research on Detection Algorithm of Green Walnut in Complex Environment. Agriculture. 14(9). 1441–1441. 3 indexed citations

Chen, Xue, et al.. (2024). EL-YOLO: An efficient and lightweight low-altitude aerial objects detector for onboard applications. Expert Systems with Applications. 256. 124848–124848. 39 indexed citations

Jin, Kui, et al.. (2024). Inference of Gene Regulatory Networks Based on Multi-view Hierarchical Hypergraphs. Interdisciplinary Sciences Computational Life Sciences. 16(2). 318–332. 1 indexed citations

Li, Junwei, et al.. (2024). On-Demand Design of Metasurfaces through Multineural Network Fusion. ACS Applied Materials & Interfaces. 16(37). 49673–49686. 3 indexed citations

Chen, Zaiqing, et al.. (2024). A General Image Super-Resolution Reconstruction Technique for Walnut Object Detection Model. Agriculture. 14(8). 1279–1279. 2 indexed citations

Yun, Lijun, et al.. (2024). Walnut Recognition Method for UAV Remote Sensing Images. Agriculture. 14(4). 646–646. 6 indexed citations

10.

Xia, Yuelong, et al.. (2024). Dual residual attention network for image denoising. Pattern Recognition. 149. 110291–110291. 76 indexed citations breakdown →

11.

Wang, Yaowei, Jing Guo, Yun Yang, et al.. (2023). CWC-transformer: a visual transformer approach for compressed whole slide image classification. Neural Computing and Applications. 37(11). 7485–7497. 15 indexed citations

12.

Xia, Yuelong, et al.. (2023). Transferable adversarial masked self-distillation for unsupervised domain adaptation. Complex & Intelligent Systems. 9(6). 6567–6580. 7 indexed citations

13.

Li, Junwei, et al.. (2023). Research on a demand design method of a cross polarization converter metasurface based on a depth generation model. Optical Materials Express. 13(9). 2497–2497. 1 indexed citations

14.

Yang, Yun, et al.. (2022). Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia. 25. 6026–6039. 15 indexed citations

15.

Xia, Yuelong, et al.. (2022). One‐stage self‐distillation guided knowledge transfer for long‐tailed visual recognition. International Journal of Intelligent Systems. 37(12). 11893–11908. 1 indexed citations

16.

Yang, Yun, Jing Guo, Qiongwei Ye, et al.. (2021). A weighted multi-feature transfer learning framework for intelligent medical decision making. Applied Soft Computing. 105. 107242–107242. 17 indexed citations

17.

Xia, Yuelong, et al.. (2021). Generalization Self-distillation with Epoch-wise Regularization. 1–8. 3 indexed citations

18.

Yang, Yun, Xinfa Li, Pei Wang, Yuelong Xia, & Qiongwei Ye. (2020). Multi-Source Transfer Learning via Ensemble Approach for Initial Diagnosis of Alzheimer’s Disease. IEEE Journal of Translational Engineering in Health and Medicine. 8. 1–10. 30 indexed citations

19.

Xia, Yuelong, Ke Chen, & Yun Yang. (2020). Multi-label classification with weighted classifier selection and stacked ensemble. Information Sciences. 557. 421–442. 79 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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