Fangyun Wei

5.1k total citations · 3 hit papers
33 papers, 1.2k citations indexed

About

Fangyun Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Fangyun Wei has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 6 papers in Human-Computer Interaction. Recurrent topics in Fangyun Wei's work include Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (9 papers). Fangyun Wei is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (9 papers). Fangyun Wei collaborates with scholars based in China, Hong Kong and Australia. Fangyun Wei's co-authors include Zheng Zhang, Mengde Xu, Xiang Bai, Han Hu, Yue Gao, Lijuan Wang, Zicheng Liu, Jianfeng Wang, Guoqi Li and Miaojing Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Fangyun Wei

31 papers receiving 1.2k 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.

End-to-End Semi-Supervised Object Detection with Soft Teacher

2021 321 citations Mengde Xu, Zheng Zhang et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

2022 198 citations Fangyun Wei, Miaojing Shi et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Side Adapter Network for Open-Vocabulary Semantic Segmentation

2023 130 citations Mengde Xu, Zheng Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangyun Wei China	16	877	475	144	95	93	33	1.2k
Songzhi Su China	14	548 0.6×	265 0.6×	74 0.5×	24 0.3×	60 0.6×	73	873
Thangarajah Akilan Canada	17	437 0.5×	207 0.4×	39 0.3×	19 0.2×	60 0.6×	52	831
Carlos R. del‐Blanco Spain	15	679 0.8×	151 0.3×	195 1.4×	44 0.5×	70 0.8×	57	992
Deng-Yuan Huang Taiwan	16	576 0.7×	107 0.2×	141 1.0×	33 0.3×	121 1.3×	59	922
Bo Xiong United States	15	980 1.1×	412 0.9×	65 0.5×	9 0.1×	55 0.6×	23	1.3k
Vijay John Japan	17	583 0.7×	137 0.3×	80 0.6×	18 0.2×	148 1.6×	54	941
Angela Yao Singapore	23	1.6k 1.9×	646 1.4×	322 2.2×	12 0.1×	95 1.0×	65	1.9k
Zhijian Liu United States	14	817 0.9×	334 0.7×	38 0.3×	21 0.2×	44 0.5×	25	1.2k
Dehui Kong China	13	586 0.7×	269 0.6×	108 0.8×	24 0.3×	48 0.5×	91	732

Countries citing papers authored by Fangyun Wei

Since Specialization

Citations

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

Fields of papers citing papers by Fangyun Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyun Wei

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

Wang, Wenbo, Fangyun Wei, Lei Zhou, et al.. (2025). UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping. 12199–12208.

Bouraoui, Zied, Fangyun Wei, Chang Xu, et al.. (2025). Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection. ACM Transactions on Multimedia Computing Communications and Applications. 21(3). 1–28.

Wei, Fangyun, et al.. (2024). Towards Online Continuous Sign Language Recognition and Translation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11050–11067. 7 indexed citations

Wei, Fangyun, et al.. (2024). EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees. 7421–7432. 2 indexed citations

Wei, Fangyun, et al.. (2024). A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era. 69566–69587. 1 indexed citations

Zhu, Lei, Fangyun Wei, & Yanye Lu. (2024). Beyond Text: Frozen Large Language Models in Visual Signal Comprehension. 27037–27047. 4 indexed citations

Wei, Fangyun, et al.. (2024). Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective. 17416–17426. 5 indexed citations

Li, Siwei, et al.. (2024). LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. 12806–12816. 1 indexed citations

Shi, Miaojing, et al.. (2023). Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16706–16719. 12 indexed citations

10.

Wei, Fangyun, et al.. (2023). CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning. 19016–19026. 14 indexed citations

11.

Xu, Mengde, et al.. (2023). SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15546–15561. 16 indexed citations

12.

Xu, Sicheng, et al.. (2023). AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9. 8 indexed citations

13.

Wei, Fangyun & Yutong Chen. (2023). Improving Continuous Sign Language Recognition with Cross-Lingual Signs. 23555–23564. 11 indexed citations

14.

Wei, Fangyun, et al.. (2023). Natural Language-Assisted Sign Language Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 14890–14900. 39 indexed citations

15.

Chen, Yutong, Fangyun Wei, Xiao Sun, Zhirong Wu, & Stephen Lin. (2022). A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5110–5120. 75 indexed citations

16.

Chen, Minghao, Fangyun Wei, Chong Li, & Deng Cai. (2022). Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13791–13800. 19 indexed citations

17.

Xu, Mengde, Zheng Zhang, Han Hu, et al.. (2021). End-to-End Semi-Supervised Object Detection with Soft Teacher. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3040–3049. 321 indexed citations breakdown →

18.

Chi, Cheng, Fangyun Wei, & Han Hu. (2020). RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder. Neural Information Processing Systems. 33. 13564–13574. 7 indexed citations

19.

Xiang, Ming, Fangyun Wei, Ting Zhang, et al.. (2020). Group Sampling for Scale Invariant Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 985–1001. 13 indexed citations

20.

Xiang, Ming, Fangyun Wei, Ting Zhang, Chen Dong, & Fang Wen. (2019). Group Sampling for Scale Invariant Face Detection. 3441–3451. 23 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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