Yake Wei

537 total citations · 1 hit paper
8 papers, 271 citations indexed

About

Yake Wei is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yake Wei has authored 8 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Yake Wei's work include Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Speech and Audio Processing (2 papers). Yake Wei is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Speech and Audio Processing (2 papers). Yake Wei collaborates with scholars based in China, United States and Hong Kong. Yake Wei's co-authors include Di Hu, Dong Wang, Xiaokang Peng, Ji-Rong Wen, Yapeng Tian, Chenliang Xu, Guangyao Li, Zheng Wang, Rui Qian and Han Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Yake Wei

7 papers receiving 265 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.

Balanced Multimodal Learning via On-the-fly Gradient Modulation

2022 154 citations Xiaokang Peng, Yake Wei et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yake Wei China	5	140	118	83	19	15	8	271
Ambuj Mehrish India	7	81 0.6×	103 0.9×	99 1.2×	14 0.7×	12 0.8×	18	278
Gengming Zhu China	7	164 1.2×	63 0.5×	50 0.6×	33 1.7×	18 1.2×	19	280
Simon Dobrišek Slovenia	11	205 1.5×	152 1.3×	130 1.6×	61 3.2×	15 1.0×	50	392
Ankan Bansal United States	5	212 1.5×	38 0.3×	99 1.2×	13 0.7×	20 1.3×	6	279
Bartosz Ziółko Poland	10	65 0.5×	128 1.1×	118 1.4×	34 1.8×	9 0.6×	59	259
Yangzhou Du China	10	169 1.2×	33 0.3×	41 0.5×	15 0.8×	13 0.9×	27	225
Dominik Roblek United States	6	122 0.9×	221 1.9×	239 2.9×	18 0.9×	20 1.3×	10	399
Chaabane Djéraba France	9	205 1.5×	91 0.8×	40 0.5×	39 2.1×	8 0.5×	19	274
Anurag Chowdhury United States	8	109 0.8×	97 0.8×	154 1.9×	11 0.6×	33 2.2×	13	271

Countries citing papers authored by Yake Wei

Since Specialization

Citations

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

Fields of papers citing papers by Yake Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yake Wei

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

8 of 8 papers shown

1.

He, Haiying, et al.. (2025). Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception. 3963–3973. 1 indexed citations

2.

Wei, Yake, et al.. (2025). Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition. 25854–25863.

3.

Wei, Yake, et al.. (2024). Enhancing Multimodal Cooperation via Sample-Level Modality Valuation. 27328–27337. 7 indexed citations

4.

Wei, Yake, et al.. (2024). On-the-Fly Modulation for Balanced Multimodal Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 469–485. 2 indexed citations

5.

Zhang, Han, et al.. (2023). Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognition. 147. 110082–110082. 28 indexed citations

6.

Li, Guangyao, Yake Wei, Yapeng Tian, et al.. (2022). Learning to Answer Questions in Dynamic Audio-Visual Scenarios. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19086–19096. 49 indexed citations

7.

Peng, Xiaokang, et al.. (2022). Balanced Multimodal Learning via On-the-fly Gradient Modulation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8228–8237. 154 indexed citations breakdown →

8.

Hu, Di, Yake Wei, Rui Qian, et al.. (2021). Class-Aware Sounding Objects Localization via Audiovisual Correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 9844–9859. 30 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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