Xin Yang

6.3k total citations · 5 hit papers
154 papers, 3.5k citations indexed

About

Xin Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xin Yang has authored 154 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 43 papers in Aerospace Engineering and 28 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xin Yang's work include Advanced Vision and Imaging (43 papers), Robotics and Sensor-Based Localization (39 papers) and Advanced Image and Video Retrieval Techniques (20 papers). Xin Yang is often cited by papers focused on Advanced Vision and Imaging (43 papers), Robotics and Sensor-Based Localization (39 papers) and Advanced Image and Video Retrieval Techniques (20 papers). Xin Yang collaborates with scholars based in China, Hong Kong and United States. Xin Yang's co-authors include Kwang‐Ting Cheng, Zengqiang Yan, Zhiwei Wang, Gangwei Xu, Zechun Liu, Junda Cheng, Haoyuan Mu, Xiangyu Zhang, Zichao Guo and Jian Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Xin Yang

139 papers receiving 3.4k citations

Hit Papers

MetaPruning: Meta Learning for Automatic Neural Network C... 2018 2026 2020 2023 2019 2018 2018 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Yang China 30 2.0k 1.1k 788 519 442 154 3.5k
Yonghuai Liu United Kingdom 27 1.7k 0.9× 667 0.6× 384 0.5× 680 1.3× 343 0.8× 131 3.3k
Matthew B. Blaschko Belgium 22 2.2k 1.1× 957 0.9× 710 0.9× 314 0.6× 597 1.4× 81 3.4k
Naoufel Werghi United Arab Emirates 28 1.4k 0.7× 517 0.5× 671 0.9× 190 0.4× 116 0.3× 255 2.5k
Marco Loog Netherlands 28 1.8k 0.9× 1.5k 1.4× 1.4k 1.8× 73 0.1× 485 1.1× 141 4.2k
Moulay A. Akhloufi Canada 30 1.2k 0.6× 582 0.5× 590 0.7× 322 0.6× 65 0.1× 173 2.7k
Marcelo Gattass Brazil 32 884 0.4× 1.4k 1.3× 1.1k 1.4× 118 0.2× 183 0.4× 177 3.1k
Ismail Ben Ayed Canada 28 1.8k 0.9× 1.0k 1.0× 810 1.0× 179 0.3× 66 0.1× 136 3.1k
Mingchen Gao United States 15 1.4k 0.7× 1.8k 1.6× 1.8k 2.3× 100 0.2× 116 0.3× 54 4.8k
Jun Cheng China 28 1.5k 0.8× 2.1k 2.0× 373 0.5× 107 0.2× 1.5k 3.5× 160 3.3k
Yitian Zhao China 27 1.4k 0.7× 2.1k 2.0× 772 1.0× 71 0.1× 1.2k 2.7× 180 3.6k

Countries citing papers authored by Xin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yang. A scholar is included among the top collaborators of Xin Yang 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 Xin Yang. Xin Yang 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, Zheng, et al.. (2025). Baseline 18F-FDG PET/CT parameters in predicting the efficacy of immunotherapy in non-small cell lung cancer. Frontiers in Medicine. 12. 1477275–1477275.
2.
Wang, Yang, et al.. (2025). Human-Inspired Computing for Robust and Efficient Audio-Visual Speech Recognition. IEEE Transactions on Computers. 74(9). 2950–2961. 1 indexed citations
3.
Cao, Xiaoyan, Yan Cao, Xin Yang, et al.. (2025). Effectiveness and clinical impact of using deep learning for first-trimester fetal ultrasound image quality auditing. BMC Pregnancy and Childbirth. 25(1). 375–375.
4.
Deng, Liwei, et al.. (2025). PDS-UKAN: Subdivision hopping connected to the U-KAN network for medical image segmentation. Computerized Medical Imaging and Graphics. 124. 102568–102568. 1 indexed citations
5.
Wang, Gaoxiang, Lijun Jiang, Qiuxia Yu, et al.. (2025). Be cautious to adopt a second CAR T-cell infusion after failure of CD19/CD22 cocktail CAR T-cell therapy in relapsed/refractory B-NHL. Cancer Immunology Immunotherapy. 74(5). 156–156.
7.
Zhang, Shizhao, et al.. (2024). Construction of COF@MOF composite-based electrochemical sensor for rapid detection of 2-Aminophenol. Microchemical Journal. 203. 110920–110920. 12 indexed citations
8.
Liu, Ou, et al.. (2024). DP-GAN+B: A lightweight generative adversarial network based on depthwise separable convolutions for generating CT volumes. Computers in Biology and Medicine. 174. 108393–108393. 8 indexed citations
10.
Zhang, Dong, et al.. (2024). Labeled-to-unlabeled distribution alignment for partially-supervised multi-organ medical image segmentation. Medical Image Analysis. 99. 103333–103333. 3 indexed citations
11.
Lin, Xian, et al.. (2024). UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation. Pattern Recognition. 152. 110491–110491. 42 indexed citations
12.
Zhao, Yufei, et al.. (2023). Dynamic threshold integrate and fire neuron model for low latency spiking neural networks. Neurocomputing. 544. 126247–126247. 9 indexed citations
13.
Yang, Xin, et al.. (2023). DESIGN AND EXPERIMENT OF SMALL VEGETABLE SEEDER WITH SINGLE DISC MULTI-ROW SEEDING AND INDEPENDENT AIRWAY. INMATEH Agricultural Engineering. 37–44. 2 indexed citations
14.
Xu, Gangwei, Yun Wang, Junda Cheng, Jinhui Tang, & Xin Yang. (2023). Accurate and Efficient Stereo Matching via Attention Concatenation Volume. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2461–2474. 35 indexed citations
15.
Yang, Xin, et al.. (2023). Vision Transformer With Hybrid Shifted Windows for Gastrointestinal Endoscopy Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4452–4461. 24 indexed citations
16.
Qin, Hui, et al.. (2023). A Method for Spatiotemporally Merging Multi-Source Precipitation Based on Deep Learning. Remote Sensing. 15(17). 4160–4160. 10 indexed citations
17.
Wang, Yali, Jiangang Wang, Shuling Guo, et al.. (2023). Oligomeric β-Amyloid Suppresses Hippocampal γ-Oscillations through Activation of the mTOR/S6K1 Pathway. Aging and Disease. 14(4). 0–0. 2 indexed citations
18.
Yang, Xin, et al.. (2022). Convolutional‐capsule network for gastrointestinal endoscopy image classification. International Journal of Intelligent Systems. 37(9). 5796–5815. 29 indexed citations
19.
Jiang, Hui, Cong Wang, An Zhang, et al.. (2022). ATF4 protects against sorafenib-induced cardiotoxicity by suppressing ferroptosis. Biomedicine & Pharmacotherapy. 153. 113280–113280. 40 indexed citations
20.
Tang, Jinhui, et al.. (2021). RGB-D DSO: Direct Sparse Odometry With RGB-D Cameras for Indoor Scenes. IEEE Transactions on Multimedia. 24. 4092–4101. 11 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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