Xinyi Ying

1.1k total citations
23 papers, 685 citations indexed

About

Xinyi Ying is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Xinyi Ying has authored 23 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Xinyi Ying's work include Advanced Image Processing Techniques (8 papers), Infrared Target Detection Methodologies (7 papers) and Advanced Vision and Imaging (6 papers). Xinyi Ying is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Infrared Target Detection Methodologies (7 papers) and Advanced Vision and Imaging (6 papers). Xinyi Ying collaborates with scholars based in China, Japan and United States. Xinyi Ying's co-authors include Yingqian Wang, Wei An, Longguang Wang, Yulan Guo, Weidong Sheng, Zaiping Lin, Xiaoyu Dong, Li Liu, Shilin Zhou and Jungang Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Xinyi Ying

21 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinyi Ying China 9 527 309 167 71 22 23 685
Guanyao Wu China 11 703 1.3× 795 2.6× 271 1.6× 35 0.5× 15 0.7× 16 1.0k
Bingwei Hui China 11 138 0.3× 77 0.2× 203 1.2× 100 1.4× 22 1.0× 26 318
Linyuan He China 12 235 0.4× 172 0.6× 100 0.6× 47 0.7× 25 1.1× 28 364
Yunli Long China 6 360 0.7× 110 0.4× 104 0.6× 58 0.8× 25 1.1× 12 507
Haowen Bai China 6 405 0.8× 504 1.6× 146 0.9× 16 0.2× 4 0.2× 8 646
Shaohui Jiao China 10 654 1.2× 211 0.7× 97 0.6× 36 0.5× 3 0.1× 23 754
Mauricio Delbracio United States 10 609 1.2× 258 0.8× 51 0.3× 20 0.3× 8 0.4× 25 696
Jinlei Ma China 8 539 1.0× 696 2.3× 302 1.8× 18 0.3× 4 0.2× 15 825
Jiangxin Dong China 16 735 1.4× 443 1.4× 23 0.1× 32 0.5× 4 0.2× 26 845

Countries citing papers authored by Xinyi Ying

Since Specialization
Citations

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

Fields of papers citing papers by Xinyi Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyi Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyi Ying. A scholar is included among the top collaborators of Xinyi Ying 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 Xinyi Ying. Xinyi Ying 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, Yinghui, et al.. (2025). CD47 is a tumor cell-derived exosomal signature and regulates tumor immune microenvironment and immunotherapy responses. Translational Oncology. 53. 102291–102291. 2 indexed citations
2.
Li, Boyang, Yingqian Wang, Xinyi Ying, et al.. (2025). Motion and Appearance Decoupling Representation for Event Cameras. IEEE Transactions on Image Processing. 34. 5964–5977. 1 indexed citations
3.
Ying, Xinyi, Chao Xiao, Wei An, et al.. (2025). Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 6088–6096. 12 indexed citations
4.
Ying, Xinyi, Li Liu, Zaiping Lin, et al.. (2025). Infrared Small Target Detection in Satellite Videos: A New Dataset and a Novel Recurrent Feature Refinement Framework. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 6 indexed citations
5.
Xie, Huan, et al.. (2025). Redundancy-aware masked graph autoencoder for overlapping community detection in attributed networks. Engineering Applications of Artificial Intelligence. 162. 112821–112821. 1 indexed citations
6.
Zhao, Jinmiao, Zelin Shi, Chuang Yu, et al.. (2025). Multi-Scale Direction-Aware Network for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 1 indexed citations
7.
Zou, Huanxin, et al.. (2024). OBBInst: Remote sensing instance segmentation with oriented bounding box supervision. International Journal of Applied Earth Observation and Geoinformation. 128. 103717–103717. 6 indexed citations
8.
Xiao, Chao, et al.. (2023). Learning scalable dynamic filter in convolutional networks. Pattern Recognition Letters. 176. 83–88. 2 indexed citations
9.
Tao, Qing, et al.. (2023). Video Super-Resolution with Pyramid Flow-Guided Deformable Alignment Network. 758–764. 1 indexed citations
10.
Ying, Xinyi, Li Liu, Yingqian Wang, et al.. (2023). Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision. 15528–15538. 64 indexed citations
11.
Wang, Longguang, Yulan Guo, Xiaoyu Dong, et al.. (2022). exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–18. 6 indexed citations
12.
Ying, Xinyi, Yingqian Wang, Longguang Wang, et al.. (2022). Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 5480–5495. 40 indexed citations
13.
Ying, Xinyi, et al.. (2022). Multi-scale Optical Flow Estimation for Video Infrared Small Target Detection. 129–132. 4 indexed citations
14.
Xiao, Chao, Xinyi Ying, Miao Li, et al.. (2021). DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 50 indexed citations
15.
Cao, Xu, et al.. (2021). ChannelMix: A Mixed Sample Data Augmentation Strategy for Image Classification. 269–274. 1 indexed citations
16.
Wang, Longguang, Xiaoyu Dong, Yingqian Wang, et al.. (2021). Exploring Sparsity in Image Super-Resolution for Efficient Inference. 4915–4924. 183 indexed citations
17.
Cao, Xu, et al.. (2021). Double-Triplet-Pseudo-Siamese Architecture For Remote Sensing Aircraft Target Recognition. 25. 140–146. 1 indexed citations
18.
Wang, Yingqian, Xinyi Ying, Longguang Wang, et al.. (2021). Symmetric Parallax Attention for Stereo Image Super-Resolution. 766–775. 79 indexed citations
19.
Ying, Xinyi, Yingqian Wang, Longguang Wang, et al.. (2020). A Stereo Attention Module for Stereo Image Super-Resolution. IEEE Signal Processing Letters. 27. 496–500. 108 indexed citations
20.
Ying, Xinyi, Longguang Wang, Yingqian Wang, et al.. (2020). Deformable 3D Convolution for Video Super-Resolution. IEEE Signal Processing Letters. 27. 1500–1504. 102 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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