Kun Wei

1.3k total citations
46 papers, 848 citations indexed

About

Kun Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Kun Wei has authored 46 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Kun Wei's work include Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (14 papers) and Formal Methods in Verification (5 papers). Kun Wei is often cited by papers focused on Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (14 papers) and Formal Methods in Verification (5 papers). Kun Wei collaborates with scholars based in China, United Kingdom and Australia. Kun Wei's co-authors include Cheng Deng, Bingyin Ren, Xu Yang, Muli Yang, Yanan Gu, Hao Wang, Xianglong Liu, Heng Huang, Zhe Xu and Dacheng Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Kun Wei

43 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Wei China 15 521 451 119 100 90 46 848
Donghyun Kim South Korea 15 508 1.0× 591 1.3× 51 0.4× 29 0.3× 64 0.7× 59 998
Xu Jia China 9 593 1.1× 954 2.1× 70 0.6× 32 0.3× 129 1.4× 17 1.3k
David Dohan United States 5 700 1.3× 548 1.2× 58 0.5× 50 0.5× 132 1.5× 10 1.0k
Simon Vandenhende Switzerland 5 382 0.7× 351 0.8× 28 0.2× 40 0.4× 58 0.6× 7 758
Hasan Şakir Bılge Türkiye 10 406 0.8× 267 0.6× 38 0.3× 51 0.5× 138 1.5× 76 879
Gang Zhang China 15 383 0.7× 208 0.5× 53 0.4× 72 0.7× 24 0.3× 53 661
Wouter Van Gansbeke Belgium 4 366 0.7× 326 0.7× 27 0.2× 38 0.4× 51 0.6× 6 718
Han Zhao United States 13 404 0.8× 729 1.6× 54 0.5× 20 0.2× 67 0.7× 46 961

Countries citing papers authored by Kun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Wei. A scholar is included among the top collaborators of Kun Wei 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 Kun Wei. Kun Wei 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.
Wang, H., et al.. (2024). Deep learning based signal processing and detection for multiple medical devices OFDM systems. Scientific Reports. 14(1). 29700–29700.
2.
Xu, Yang, et al.. (2024). Long-Tail Class Incremental Learning via Independent SUb-Prototype Construction. 28598–28607. 4 indexed citations
3.
4.
Wei, Kun, et al.. (2024). Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation. IEEE Transactions on Image Processing. 33. 1188–1198. 10 indexed citations
5.
Zhang, Ziqi, et al.. (2024). Few-Shot Generative Model Adaptation via Style-Guided Prompt. IEEE Transactions on Multimedia. 26. 7661–7672.
6.
Zhao, Han, Xu Yang, Kun Wei, Cheng Deng, & Dacheng Tao. (2024). Unsupervised Graph Transformer With Augmentation-Free Contrastive Learning. IEEE Transactions on Knowledge and Data Engineering. 36(11). 7296–7307. 5 indexed citations
7.
8.
Yang, Xu, Yanan Gu, Kun Wei, & Cheng Deng. (2023). Exploring Safety Supervision for Continual Test-time Domain Adaptation. 1649–1657. 3 indexed citations
9.
Wei, Kun, et al.. (2023). Automated Software Vulnerability Detection via Curriculum Learning. 2855–2860. 1 indexed citations
10.
Wang, Henan, Muli Yang, Kun Wei, & Cheng Deng. (2023). Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. 1470–1478. 4 indexed citations
11.
Liu, Xiaofeng, et al.. (2023). Incorporating bidirectional feature pyramid network and lightweight network: a YOLOv5-GBC distracted driving behavior detection model. Neural Computing and Applications. 36(17). 9903–9917. 14 indexed citations
12.
Wei, Kun, Da Chen, Yuhong Li, et al.. (2022). Incremental Embedding Learning With Disentangled Representation Translation. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 3821–3833. 6 indexed citations
13.
Deng, Cheng, et al.. (2021). Nearest Neighbor Matching for Deep Clustering. 13688–13697. 55 indexed citations
14.
Wei, Kun, Cheng Deng, Xu Yang, & Maosen Li. (2021). Incremental Embedding Learning via Zero-Shot Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 10254–10262. 11 indexed citations
15.
Yang, Xu, et al.. (2021). Self-SAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. 16770–16779. 21 indexed citations
16.
Xu, Yang, Cheng Deng, Kun Wei, Junchi Yan, & Wei Liu. (2020). Adversarial Learning for Robust Deep Clustering. Neural Information Processing Systems. 33. 9098–9108. 38 indexed citations
17.
Wei, Kun, Muli Yang, Hao Wang, Cheng Deng, & Xianglong Liu. (2019). Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. 73 indexed citations
18.
Wei, Kun & Bingyin Ren. (2018). A Method on Dynamic Path Planning for Robotic Manipulator Autonomous Obstacle Avoidance Based on an Improved RRT Algorithm. Sensors. 18(2). 571–571. 191 indexed citations
19.
Cavalcanti, Ana, Frank Zeyda, Andy Wellings, Jim Woodcock, & Kun Wei. (2013). Safety-critical Java programs from Circus models. Real-Time Systems. 49(5). 614–667. 11 indexed citations
20.
Wei, Kun, et al.. (2011). Spiral band model for locating Tropical Cyclone centers. Pattern Recognition Letters. 32(6). 761–770. 13 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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