Yingjun Du

505 total citations
17 papers, 230 citations indexed

About

Yingjun Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yingjun Du has authored 17 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yingjun Du's work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image Processing Techniques (3 papers). Yingjun Du is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image Processing Techniques (3 papers). Yingjun Du collaborates with scholars based in Netherlands, China and United Arab Emirates. Yingjun Du's co-authors include Xiantong Zhen, Ling Shao, Jun Xu, Ming‐Ming Cheng, Cees G. M. Snoek, Shengyong Chen, Jing Li, Lei Zhang, Liyun Zuo and Qiang Qiu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.

In The Last Decade

Yingjun Du

15 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingjun Du Netherlands	7	160	115	29	24	22	17	230
B. Sai Chandana India	8	92 0.6×	83 0.7×	41 1.4×	7 0.3×	22 1.0×	38	216
Suhwan Cho South Korea	8	160 1.0×	112 1.0×	9 0.3×	58 2.4×	8 0.4×	20	251
Ruoxi Sun China	5	198 1.2×	271 2.4×	16 0.6×	13 0.5×	31 1.4×	8	363
Zhimao Peng China	3	242 1.5×	203 1.8×	32 1.1×	6 0.3×	36 1.6×	5	343
Xinyue Liu China	7	133 0.8×	105 0.9×	12 0.4×	7 0.3×	6 0.3×	22	214
Linjun Zhou China	6	101 0.6×	170 1.5×	14 0.5×	10 0.4×	13 0.6×	7	239
Gurram Sunitha India	6	74 0.5×	56 0.5×	16 0.6×	21 0.9×	20 0.9×	26	196
Danlu Chen United States	2	138 0.9×	100 0.9×	14 0.5×	13 0.5×	9 0.4×	3	188
Siyu Zhu China	5	210 1.3×	47 0.4×	11 0.4×	47 2.0×	8 0.4×	12	287
Shell Xu Hu United Kingdom	6	86 0.5×	125 1.1×	16 0.6×	4 0.2×	22 1.0×	9	186

Countries citing papers authored by Yingjun Du

Since Specialization

Citations

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

Fields of papers citing papers by Yingjun Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjun Du

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

17 of 17 papers shown

Zou, Jingjing, et al.. (2025). Generating Chinese intangible cultural heritage images with structure and color awareness. npj Heritage Science. 13(1).

Du, Yingjun, et al.. (2024). IPO: Interpretable Prompt Optimization for Vision-Language Models. UvA-DARE (University of Amsterdam). 126725–126766. 1 indexed citations

Shi, J. L., Jun Xu, Jing Li, et al.. (2023). Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. IEEE Transactions on Cybernetics. 54(4). 2592–2605. 12 indexed citations

Liu, Jie, et al.. (2023). Memory-augmented Variational Adaptation for Online Few-shot Segmentation. 34. 3316–3325. 2 indexed citations

Du, Yingjun, et al.. (2023). ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion. 46304–46322.

Du, Yingjun, Jiayi Shen, Xiantong Zhen, & Cees G. M. Snoek. (2023). SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. 19944–19954. 8 indexed citations

Du, Yingjun, Haoliang Sun, Xiantong Zhen, et al.. (2022). MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1464–1478. 6 indexed citations

Zhang, Lei, Yingjun Du, Jiayi Shen, & Xiantong Zhen. (2022). Learning to Learn With Variational Inference for Cross-Domain Image Classification. IEEE Transactions on Multimedia. 25. 3319–3328. 3 indexed citations

Du, Yingjun, Xiantong Zhen, Ling Shao, & Cees G. M. Snoek. (2021). MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. 15 indexed citations

10.

Li, Jing, et al.. (2021). Variational Abnormal Behavior Detection With Motion Consistency. IEEE Transactions on Image Processing. 31. 275–286. 39 indexed citations

11.

Zhang, Lei, Liyun Zuo, Yingjun Du, & Xiantong Zhen. (2021). Learning to Adapt With Memory for Probabilistic Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4283–4292. 29 indexed citations

12.

Du, Yingjun, et al.. (2021). Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. UvA-DARE (University of Amsterdam). 5254–5268. 4 indexed citations

13.

Zhen, Xiantong, Yingjun Du, Huan Xiong, et al.. (2020). Learning to Learn Variational Semantic Memory. UvA-DARE (University of Amsterdam). 33. 9122–9134. 3 indexed citations

14.

Du, Yingjun, Jun Xu, Xiantong Zhen, Ming‐Ming Cheng, & Ling Shao. (2020). Conditional Variational Image Deraining. IEEE Transactions on Image Processing. 29. 6288–6301. 72 indexed citations

15.

Zhen, Xiantong, Haoliang Sun, Yingjun Du, et al.. (2020). Learning to Learn Kernels with Variational Random Features. UvA-DARE (University of Amsterdam). 1. 11409–11419. 5 indexed citations

16.

Du, Yingjun, Jun Xu, Qiang Qiu, Xiantong Zhen, & Lei Zhang. (2020). Variational Image Deraining. 2395–2404. 30 indexed citations

17.

Zhang, Lei, et al.. (2019). Calibrated Multivariate Regression Networks. IEEE Transactions on Circuits and Systems for Video Technology. 30(11). 4222–4231. 1 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.

Explore authors with similar magnitude of impact