Ruipeng Zhang

808 total citations · 1 hit paper
12 papers, 483 citations indexed

About

Ruipeng Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ruipeng Zhang has authored 12 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ruipeng Zhang's work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (4 papers) and Machine Learning and ELM (3 papers). Ruipeng Zhang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (4 papers) and Machine Learning and ELM (3 papers). Ruipeng Zhang collaborates with scholars based in China, Canada and United States. Ruipeng Zhang's co-authors include Ya Zhang, Yanfeng Wang, Qinwei Xu, Qi Tian, Yiyan Wu, Jiangchao Yao, Qi Tian, Le Ye, Chaoqin Huang and Xiangbo Shu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Ruipeng Zhang

11 papers receiving 477 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.

A Fourier-based Framework for Domain Generalization

2021 318 citations Qinwei Xu, Ruipeng 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
Ruipeng Zhang China	9	289	265	57	55	43	12	483
Yemin Shi China	8	301 1.0×	313 1.2×	26 0.5×	54 1.0×	59 1.4×	24	470
Rongyao Fang Hong Kong	5	247 0.9×	355 1.3×	33 0.6×	42 0.8×	38 0.9×	6	542
Zhisheng Zhong China	8	365 1.3×	515 1.9×	96 1.7×	84 1.5×	35 0.8×	8	761
Zilin Gao China	5	195 0.7×	407 1.5×	92 1.6×	49 0.9×	36 0.8×	7	542
Jianxin Lin China	13	182 0.6×	436 1.6×	104 1.8×	39 0.7×	22 0.5×	40	665
Lang Huang China	8	224 0.8×	478 1.8×	58 1.0×	36 0.7×	82 1.9×	16	629
Dilin Wang United States	10	263 0.9×	389 1.5×	71 1.2×	37 0.7×	24 0.6×	22	603
Wenliang Zhao China	9	285 1.0×	506 1.9×	46 0.8×	34 0.6×	29 0.7×	18	685
Jianzhong He China	8	250 0.9×	406 1.5×	95 1.7×	68 1.2×	10 0.2×	10	585

Countries citing papers authored by Ruipeng Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Ruipeng Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruipeng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruipeng Zhang. A scholar is included among the top collaborators of Ruipeng Zhang 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 Ruipeng Zhang. Ruipeng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Zhang, Ruipeng, et al.. (2024). Fairness-guided federated training for generalization and personalization in cross-silo federated learning. Frontiers of Information Technology & Electronic Engineering. 26(1). 42–61.

2.

Zhang, Ruipeng, et al.. (2024). UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. IEEE Transactions on Medical Imaging. 43(8). 2901–2912. 6 indexed citations

3.

Xu, Qinwei, Ruipeng Zhang, Yiyan Wu, et al.. (2023). SimDE: A Simple Domain Expansion Approach for Single-source Domain Generalization. 4798–4808. 12 indexed citations

4.

Zhang, Ruipeng, Qinwei Xu, Jiangchao Yao, et al.. (2023). Federated Domain Generalization with Generalization Adjustment. 3954–3963. 44 indexed citations

5.

Xu, Qinwei, et al.. (2023). Fourier-based augmentation with applications to domain generalization. Pattern Recognition. 139. 109474–109474. 41 indexed citations

6.

Xu, Qinwei, Ruipeng Zhang, Ya Zhang, Yiyan Wu, & Yanfeng Wang. (2023). Federated Adversarial Domain Hallucination for Privacy-Preserving Domain Generalization. IEEE Transactions on Multimedia. 26. 1–14. 17 indexed citations

7.

Zhang, Ruipeng, Qinwei Xu, Chaoqin Huang, Ya Zhang, & Yanfeng Wang. (2022). Semi-Supervised Domain Generalization for Medical Image Analysis. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 12 indexed citations

8.

Zhang, Ruipeng, Xiangbo Shu, Rui Yan, Jiachao Zhang, & Yan Song. (2021). Skip-attention encoder–decoder framework for human motion prediction. Multimedia Systems. 28(2). 413–422. 8 indexed citations

9.

Xu, Qinwei, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, & Qi Tian. (2021). A Fourier-based Framework for Domain Generalization. 14378–14387. 318 indexed citations breakdown →

10.

Ye, Le, et al.. (2021). FP-DCNN: a parallel optimization algorithm for deep convolutional neural network. The Journal of Supercomputing. 78(3). 3791–3813. 10 indexed citations

11.

Zhang, Ya, et al.. (2020). Learning Robust Shape-Based Features for Domain Generalization. IEEE Access. 8. 63748–63756. 6 indexed citations

12.

Li, Shuai, et al.. (2018). Energy-Efficient Architecture for FPGA-based Deep Convolutional Neural Networks with Binary Weights. 1–5. 9 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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