Xulei Yang

1.0k total citations
64 papers, 575 citations indexed

About

Xulei Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xulei Yang has authored 64 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xulei Yang's work include Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (11 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Xulei Yang is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (11 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Xulei Yang collaborates with scholars based in Singapore, China and United States. Xulei Yang's co-authors include Zeng Zeng, Yi Su, Song Qing, Zengxiang Li, Steven C. H. Hoi, Rick Siow Mong Goh, Zheng Qin, Qing Song, Vijay Chandrasekhar and Bharadwaj Veeravalli and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Pattern Recognition.

In The Last Decade

Xulei Yang

55 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xulei Yang Singapore	14	181	145	143	68	43	64	575
Ivan Štajduhar Croatia	15	95 0.5×	73 0.5×	255 1.8×	83 1.2×	23 0.5×	54	736
Mustafa Ghaderzadeh Iran	17	236 1.3×	296 2.0×	343 2.4×	48 0.7×	41 1.0×	28	810
Haya Alaskar Saudi Arabia	15	109 0.6×	85 0.6×	192 1.3×	93 1.4×	16 0.4×	36	676
Ibrahem Kandel Portugal	9	201 1.1×	216 1.5×	204 1.4×	79 1.2×	11 0.3×	9	710
Raul Victor M. da Nóbrega Brazil	9	184 1.0×	248 1.7×	249 1.7×	76 1.1×	20 0.5×	9	812
Preeti Nagrath India	11	388 2.1×	293 2.0×	336 2.3×	28 0.4×	36 0.8×	61	1.1k
Angshuman Paul India	11	143 0.8×	141 1.0×	241 1.7×	120 1.8×	10 0.2×	39	648
Arturo Hernández-Aguirre Mexico	15	104 0.6×	125 0.9×	272 1.9×	109 1.6×	22 0.5×	65	802
Belal Al‐Khateeb Iraq	15	119 0.7×	175 1.2×	396 2.8×	37 0.5×	5 0.1×	66	743
Jiawei Yang China	11	133 0.7×	26 0.2×	261 1.8×	47 0.7×	12 0.3×	36	584

Countries citing papers authored by Xulei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xulei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xulei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xulei Yang. A scholar is included among the top collaborators of Xulei 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 Xulei Yang. Xulei Yang 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

Yu, Yang, Jiahao Wang, Weide Liu, et al.. (2025). Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing. 636. 130018–130018. 1 indexed citations

Wang, Zhoutao, et al.. (2025). DPPNet: A Depth Pixel-Wise Potential-Aware Network for RGB-D Salient Object Detection. IEEE Transactions on Multimedia. 27. 4256–4268.

Zhang, Ziyang, et al.. (2025). MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations. 29744–29755.

Zhao, Ziyuan, et al.. (2024). Multi-dataset Collaborative Learning for Liver Tumor Segmentation. PubMed. 2024. 1–4. 1 indexed citations

Zhao, Ziyuan, et al.. (2024). Dual Prototypical Self-Supervised Learning for One-shot Medical Image Segmentation. PubMed. 2024. 1–4. 1 indexed citations

Wang, Jie, et al.. (2024). End-to-End Fast Segmentation Framework for 3D Visual Inspection of HBMs. 1102–1107. 1 indexed citations

Wang, Zhe, Chunyun Chen, Qing Xu, et al.. (2024). From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 5837–5857. 4 indexed citations

Liu, Weide, et al.. (2024). Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing. 614. 128788–128788. 2 indexed citations

Cheng, Jun, et al.. (2024). Improving 3D Occupancy Prediction through Class-Balancing Loss and Multi-Scale Representation. 699–703.

10.

Chen, Cen, et al.. (2023). Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction. IEEE Journal on Selected Areas in Communications. 41(11). 3624–3635. 12 indexed citations

11.

Zhang, Haijian, et al.. (2023). Facial feature embedded CycleGAN for VIS–NIR translation. Multidimensional Systems and Signal Processing. 34(2). 423–446. 5 indexed citations

12.

Zhao, Ziyuan, Jinxuan Hu, Zeng Zeng, et al.. (2022). MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation. 2022 IEEE International Conference on Image Processing (ICIP). 401–405. 15 indexed citations

13.

Wen, Bihan, et al.. (2021). Systematic Analysis of Circular Artifacts for Stylegan. 3902–3906. 6 indexed citations

14.

Zhou, Yichen, et al.. (2020). ID Preserving Face Super-Resolution Generative Adversarial Networks. IEEE Access. 8. 138373–138381. 5 indexed citations

15.

Yang, Xulei & Jie Ding. (2020). A Computational Framework for Iceberg and Ship Discrimination: Case Study on Kaggle Competition. IEEE Access. 8. 82320–82327. 12 indexed citations

16.

Yang, Feng, Xulei Yang, Gary Lee, et al.. (2018). Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction. Computerized Medical Imaging and Graphics. 70. 63–72. 6 indexed citations

17.

Li, Zengxiang, et al.. (2017). A hybrid regression technique for house prices prediction. 319–323. 63 indexed citations

18.

Zhang, C., Gen Zhao, Yanjun Xiao, & Xulei Yang. (2012). Decoupling Robust Control of Three-Link Direct Drive Robot Arm. Advanced materials research. 443-444. 258–266.

19.

Song, Qing, et al.. (2007). Robust Recurrent Neural Network Control of Biped Robot. Journal of Intelligent & Robotic Systems. 49(2). 151–169. 20 indexed citations

20.

Song, Qing, et al.. (2006). Recurrent neural network control of functional electrical stimulation systems. 400–404. 2 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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