Xinshao Wang

561 total citations
14 papers, 302 citations indexed

About

Xinshao Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xinshao Wang has authored 14 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Xinshao Wang's work include Machine Learning and Data Classification (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Algorithms (3 papers). Xinshao Wang is often cited by papers focused on Machine Learning and Data Classification (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Algorithms (3 papers). Xinshao Wang collaborates with scholars based in United Kingdom, China and Germany. Xinshao Wang's co-authors include Elyor Kodirov, Hua Yang, Neil M. Robertson, Guosheng Hu, Romain Garnier, David A. Clifton, Neil Robertson, Haojin Yang, Christoph Meinel and Ziyun Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Signal Processing Image Communication and IET Image Processing.

In The Last Decade

Xinshao Wang

12 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinshao Wang United Kingdom	7	188	140	42	22	17	14	302
A S Remya Ajai India	8	92 0.5×	66 0.5×	42 1.0×	16 0.7×	12 0.7×	22	218
Xin Wei China	8	89 0.5×	75 0.5×	31 0.7×	12 0.5×	26 1.5×	39	222
N Manohar India	10	98 0.5×	44 0.3×	43 1.0×	24 1.1×	28 1.6×	43	228
Weijia Wu China	9	137 0.7×	81 0.6×	21 0.5×	28 1.3×	40 2.4×	44	266
Rakesh Kumar Sanodiya India	10	94 0.5×	169 1.2×	24 0.6×	8 0.4×	11 0.6×	38	245
Emad Sami Jaha Saudi Arabia	10	123 0.7×	46 0.3×	68 1.6×	25 1.1×	27 1.6×	26	252
Gurram Sunitha India	6	74 0.4×	56 0.4×	20 0.5×	12 0.5×	16 0.9×	26	196
Chenghua Li China	7	79 0.4×	121 0.9×	58 1.4×	23 1.0×	18 1.1×	15	258

Countries citing papers authored by Xinshao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xinshao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinshao Wang

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

All Works

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14 of 14 papers shown

Lü, Lei, Tingting Zhu, Xinshao Wang, et al.. (2024). AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6542–6558.

Yan, Shiyang, et al.. (2023). AdaTriplet-RA: Domain matching via adaptive triplet and reinforced attention for unsupervised domain adaptation. Signal Processing Image Communication. 120. 117024–117024.

Zeng, Dan, Yan Xiao, Wen Jiang, et al.. (2023). Cascaded face super‐resolution with shape and identity priors. IET Image Processing. 17(11). 3309–3322. 1 indexed citations

Li, Ziyun, Xinshao Wang, Neil Robertson, et al.. (2023). SMKD: Selective Mutual Knowledge Distillation. PubMed. 1–8. 3 indexed citations

Wang, Xinshao, Hua Yang, Elyor Kodirov, & Neil M. Robertson. (2021). Ranked List Loss for Deep Metric Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 12 indexed citations

Wang, Xinshao, Hua Yang, Elyor Kodirov, David A. Clifton, & Neil M. Robertson. (2021). ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. Research Portal (Queen's University Belfast). 752–761. 41 indexed citations

Wang, Xinshao, et al.. (2020). ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise.. arXiv (Cornell University). 1 indexed citations

Wang, Xinshao, Elyor Kodirov, Hua Yang, & Neil M. Robertson. (2019). Improved Mean Absolute Error for Learning Meaningful Patterns from Abnormal Training Data. arXiv (Cornell University). 7 indexed citations

Wang, Xinshao, Elyor Kodirov, Hua Yang, & Neil M. Robertson. (2019). Derivative Manipulation For Adjusting Emphasis Density Function: A General Example Weighting Framework. arXiv (Cornell University). 1 indexed citations

10.

Wang, Xinshao, Hua Yang, Elyor Kodirov, et al.. (2019). Ranked List Loss for Deep Metric Learning. 5202–5211. 150 indexed citations

11.

Wang, Xinshao, Elyor Kodirov, Hua Yang, & Neil M. Robertson. (2019). Improving MAE against CCE under Label Noise.. arXiv (Cornell University). 6 indexed citations

12.

Wang, Xinshao, et al.. (2019). Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels.. arXiv (Cornell University). 4 indexed citations

13.

Wang, Xinshao, Hua Yang, Elyor Kodirov, Guosheng Hu, & Neil Robertson. (2019). Deep Metric Learning by Online Soft Mining and Class-Aware Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5361–5368. 31 indexed citations

14.

Wang, Xinshao, et al.. (2015). Weed seeds classification based on PCANet deep learning baseline. 408–415. 45 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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