Xiang Yu

4.7k total citations · 2 hit papers
49 papers, 1.6k citations indexed

About

Xiang Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiang Yu has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiang Yu's work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (7 papers). Xiang Yu is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (7 papers). Xiang Yu collaborates with scholars based in China, United Kingdom and United States. Xiang Yu's co-authors include Yudong Zhang, Shuihua Wang‎, Qinghua Zhou, Dieter Fox, J. M. Górriz, Xujing Yao, Jonathan Tremblay, Stan Birchfield, Hua Hu and Zhengchao Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiang Yu

40 papers receiving 1.5k 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.

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

2020 313 citations Yudong Zhang, Zhengchao Dong et al. Information Fusion profile →
Transfer learning for medical images analyses: A survey

2022 136 citations Xiang Yu, Shuihua Wang‎ et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiang Yu China	17	599	570	456	266	169	49	1.6k
Hoshang Kolivand United Kingdom	22	789 1.3×	634 1.1×	328 0.7×	94 0.4×	172 1.0×	128	2.0k
Abdullah-Al Nahid Bangladesh	23	521 0.9×	973 1.7×	667 1.5×	290 1.1×	136 0.8×	85	2.2k
Kai‐Lung Hua Taiwan	23	1.2k 2.0×	481 0.8×	406 0.9×	70 0.3×	138 0.8×	141	2.3k
Lei Qi China	22	1.1k 1.9×	740 1.3×	234 0.5×	103 0.4×	216 1.3×	109	2.1k
Syed Afaq Ali Shah Australia	20	961 1.6×	480 0.8×	188 0.4×	84 0.3×	230 1.4×	74	1.8k
Stefano Ghidoni Italy	19	808 1.3×	343 0.6×	168 0.4×	148 0.6×	192 1.1×	76	1.6k
Juan Gabriel Avina‐Cervantes Mexico	17	344 0.6×	227 0.4×	307 0.7×	378 1.4×	160 0.9×	107	1.5k
Ngan Le United States	22	1.1k 1.8×	591 1.0×	172 0.4×	76 0.3×	160 0.9×	109	2.1k
Yanfeng Wang China	24	1.4k 2.3×	1.0k 1.8×	195 0.4×	184 0.7×	262 1.6×	134	2.4k
Adi Alhudhaif Saudi Arabia	27	513 0.9×	630 1.1×	242 0.5×	71 0.3×	137 0.8×	106	2.0k

Countries citing papers authored by Xiang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yu. A scholar is included among the top collaborators of Xiang Yu 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 Xiang Yu. Xiang Yu 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:

20 of 20 papers shown

Ma, Yutong, Xiang Yu, Long Wan, et al.. (2025). Mechanism and application prospect of magnesium-based materials in cancer treatment. Journal of Magnesium and Alloys. 13(3). 982–1011. 2 indexed citations

Yu, Xiang, Yue Qin, Yimei Liao, et al.. (2025). Simple is what you need for efficient and accurate medical image segmentation. Expert Systems with Applications. 304. 130687–130687.

Zhang, Xiaoguang, Xiang Yu, & Guofu Zhang. (2025). Adaptive Model Predictive Current Control for PMSM Drives Based on Bayesian Inference. IEEE Transactions on Power Electronics. 40(6). 8490–8502. 3 indexed citations

Fan, Menglin, et al.. (2025). Development of a machine learning-based prognostic model for survival prediction in patients with lung cancer brain metastases using multicenter clinical data. International Journal of Medical Informatics. 203. 106025–106025.

Liang, Jun, et al.. (2025). Cooperative control of mixed CAV-HDV platoons with hierarchical optimization for oscillation mitigation. Physica A Statistical Mechanics and its Applications. 675. 130844–130844.

Yu, Xiang, et al.. (2024). From Paper to Digital: ECG Processing with U-Net Digitization and ResNet Classification. Computing in cardiology. 51. 1 indexed citations

Yu, Xiang, et al.. (2024). Few-shot classification of Cryo-ET subvolumes with deep Brownian distance covariance. Briefings in Bioinformatics. 26(1).

Yu, Xiang, et al.. (2023). GFNet: A Deep Learning Framework for Breast Mass Detection. Electronics. 12(7). 1583–1583. 2 indexed citations

Zhou, Qinghua, Jiaji Wang, Xiang Yu, Shuihua Wang‎, & Yudong Zhang. (2023). A Survey of Deep Learning for Alzheimer’s Disease. SHILAP Revista de lepidopterología. 5(2). 611–668. 21 indexed citations

10.

Yu, Xiang, Zeyu Ren, David S. Guttery, & Yudong Zhang. (2023). DF-dRVFL: A novel deep feature based classifier for breast mass classification. Multimedia Tools and Applications. 83(5). 14393–14422. 5 indexed citations

11.

Ren, Quan, et al.. (2023). Enhancing Seismic Facies Classification Using Interpretable Feature Selection and Time Series Ensemble Learning Model With Uncertainty Assessment. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 7 indexed citations

12.

Yu, Xiang, Shuihua Wang‎, J. M. Górriz, et al.. (2022). PeMNet for Pectoral Muscle Segmentation. Biology. 11(1). 134–134. 8 indexed citations

13.

Yu, Xiang, Shuihua Wang‎, & Yudong Zhang. (2022). Multiple-level thresholding for breast mass detection. Journal of King Saud University - Computer and Information Sciences. 35(1). 115–130. 2 indexed citations

14.

Chao, Yu-Wei, Wei Yang, Xiang Yu, et al.. (2021). DexYCB: A Benchmark for Capturing Hand Grasping of Objects. 9040–9049. 148 indexed citations

15.

Cheng, Kang, Xiang Yu, Shuihua Wang, et al.. (2020). A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring. IEEE Transactions on Fuzzy Systems. 29(1). 34–45. 52 indexed citations

16.

Yu, Xiang, Kang Cheng, David S. Guttery, et al.. (2020). ResNet-SCDA-50 for Breast Abnormality Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 94–102. 61 indexed citations

17.

Yu, Xiang, Christopher Xie, Arsalan Mousavian, & Dieter Fox. (2020). Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. 461–470. 2 indexed citations

18.

Yu, Xiang, Shuihua Wang‎, & Yudong Zhang. (2020). CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia. Information Processing & Management. 58(1). 102411–102411. 81 indexed citations

19.

Zhang, Yudong, Zhengchao Dong, Shuihua Wang‎, et al.. (2020). Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Information Fusion. 64. 149–187. 313 indexed citations breakdown →

20.

Yu, Xiang. (2004). Research on the Automated Fluorescent Magnetic Particle Testing. Mechanical Engineering & Automation. 1 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.

Explore authors with similar magnitude of impact