Xiwei Dong

823 total citations
30 papers, 654 citations indexed

About

Xiwei Dong is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Xiwei Dong has authored 30 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Xiwei Dong's work include Software Reliability and Analysis Research (7 papers), Software Engineering Research (7 papers) and Face and Expression Recognition (6 papers). Xiwei Dong is often cited by papers focused on Software Reliability and Analysis Research (7 papers), Software Engineering Research (7 papers) and Face and Expression Recognition (6 papers). Xiwei Dong collaborates with scholars based in China, Australia and South Korea. Xiwei Dong's co-authors include Xiao‐Yuan Jing, Fei Wu, Baowen Xu, Caixue Zhou, Yimu Ji, Zhiqiang Li, Ruchuan Wang, Fei Ma, Xiaoke Zhu and Zhiyong Wu and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Software Engineering and IEEE Transactions on Cybernetics.

In The Last Decade

Xiwei Dong

28 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiwei Dong China 11 344 284 205 201 106 30 654
Heng Lu China 10 79 0.2× 142 0.5× 89 0.4× 128 0.6× 196 1.8× 21 470
Hui Peng China 11 134 0.4× 198 0.7× 138 0.7× 67 0.3× 68 0.6× 47 503
D. T. Lee Taiwan 11 69 0.2× 23 0.1× 229 1.1× 173 0.9× 79 0.7× 29 489
H.F. Li Canada 8 110 0.3× 91 0.3× 44 0.2× 90 0.4× 91 0.9× 29 548
Marcel Kyas Germany 11 54 0.2× 61 0.2× 150 0.7× 38 0.2× 114 1.1× 57 429
Huowang Chen China 9 94 0.3× 35 0.1× 164 0.8× 67 0.3× 99 0.9× 66 369
Stéphane Durocher Canada 11 40 0.1× 48 0.2× 61 0.3× 85 0.4× 108 1.0× 67 380
Chenyang Lu United States 10 70 0.2× 29 0.1× 106 0.5× 141 0.7× 211 2.0× 19 496
R.E. Seviora Canada 13 88 0.3× 113 0.4× 121 0.6× 10 0.0× 108 1.0× 48 431

Countries citing papers authored by Xiwei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiwei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiwei Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiwei Dong. A scholar is included among the top collaborators of Xiwei Dong 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 Xiwei Dong. Xiwei Dong 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, Zhaohui, Fei Ma, Hongjuan Liu, et al.. (2025). WS-SAM: self-prompting SAM with wavelet and spatial domain for OCTA retinal vessel segmentation. The Journal of Supercomputing. 81(5).
2.
Dong, Xiwei, et al.. (2024). CGADNet: A Lightweight, Real-Time, and Robust Crosswalk and Guide Arrow Detection Network for Complex Scenes. Applied Sciences. 14(20). 9445–9445. 1 indexed citations
3.
Li, Xianbin, et al.. (2024). Integrated edge information and pathway topology for drug-disease associations. iScience. 27(7). 110025–110025.
4.
Ma, Fei, Feng Yan, Xiwei Dong, et al.. (2024). SFNet: Spatial and Frequency Domain Networks for Wide‐Field OCT Angiography Retinal Vessel Segmentation. Journal of Biophotonics. 18(1). e202400420–e202400420. 3 indexed citations
6.
Dong, Xiwei, et al.. (2023). Occluded face recognition algorithm based on MFFPN with lightweight network. 1983–1988. 1 indexed citations
7.
Sun, Ying, Xiao‐Yuan Jing, Fei Wu, et al.. (2021). Semi-supervised Heterogeneous Defect Prediction with Open-source Projects on GitHub. International Journal of Software Engineering and Knowledge Engineering. 31(6). 889–916. 5 indexed citations
8.
Jing, Xiao‐Yuan, et al.. (2019). Low‐rank tensor completion for visual data recovery via the tensor train rank‐1 decomposition. IET Image Processing. 14(1). 114–124. 3 indexed citations
9.
Huang, He, Xiao‐Yuan Jing, Fei Wu, et al.. (2019). DCNN-BiGRU Text Classification Model Based on BERT Embedding. 632–637. 10 indexed citations
10.
Dong, Xiwei, Fei Wu, & Xiao‐Yuan Jing. (2018). Semi-supervised multiple kernel intact discriminant space learning for image recognition. Neural Computing and Applications. 31(9). 5309–5326. 6 indexed citations
11.
Wu, Fei, Xiao‐Yuan Jing, Xiwei Dong, et al.. (2018). Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition. IEEE Transactions on Cybernetics. 50(3). 1009–1022. 28 indexed citations
12.
Dong, Xiwei, Fei Wu, Xiao‐Yuan Jing, & Songsong Wu. (2018). Multi-view Intact Discriminant Space Learning for Image Classification. Neural Processing Letters. 50(2). 1661–1685. 4 indexed citations
13.
Wu, Fei, et al.. (2018). Supervised Discrete Matrix Factorization Hashing For Cross-Modal Retrieval. 855–859. 3 indexed citations
14.
Dong, Xiwei, Fei Wu, & Xiao‐Yuan Jing. (2018). Generic Training Set based Multimanifold Discriminant Learning for Single Sample Face Recognition. KSII Transactions on Internet and Information Systems. 12(1). 11 indexed citations
15.
Jing, Xiao‐Yuan, Fei Wu, Xiwei Dong, Shiguang Shan, & Songcan Chen. (2017). Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 30 indexed citations
16.
Wu, Fei, Xiao‐Yuan Jing, Xiwei Dong, et al.. (2017). Cross-project and within-project semi-supervised software defect prediction problems study using a unified solution. 195–197. 19 indexed citations
17.
Wu, Fei, Xiao‐Yuan Jing, Xiwei Dong, et al.. (2016). Uncorrelated multi-set feature learning for color face recognition. Pattern Recognition. 60. 630–646. 12 indexed citations
18.
Jing, Xiao‐Yuan, Fei Wu, Xiaoke Zhu, et al.. (2016). Multi-spectral low-rank structured dictionary learning for face recognition. Pattern Recognition. 59. 14–25. 57 indexed citations
19.
Wu, Fei, et al.. (2016). Cost-Sensitive Local Collaborative Representation for Software Defect Prediction. 102–107. 7 indexed citations
20.

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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