Zeren Sun

1.0k total citations · 1 hit paper
18 papers, 511 citations indexed

About

Zeren Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Zeren Sun has authored 18 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Civil and Structural Engineering. Recurrent topics in Zeren Sun's work include Machine Learning and Data Classification (9 papers), Advanced Neural Network Applications (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Zeren Sun is often cited by papers focused on Machine Learning and Data Classification (9 papers), Advanced Neural Network Applications (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Zeren Sun collaborates with scholars based in China, Australia and Switzerland. Zeren Sun's co-authors include Yazhou Yao, Yuwei Wang, Wenguan Wang, Xinhao Cai, Qiuxia Lai, Fumin Shen, Jian Zhang, Zhenmin Tang, Qi Wu and Chuanyi Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Zeren Sun

17 papers receiving 503 citations

Hit Papers

Poly Kernel Inception Network for Remote Sensing Detection 2024 2026 2025 2024 50 100 150
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.

  1. Poly Kernel Inception Network for Remote Sensing Detection
    2024 182 citations Xinhao Cai, Qiuxia Lai et al. profile →

Peers

Zeren Sun
Zhenggong Han China
Mark W. Koch United States
Mengde Xu China
Roman Solovyev Russia
Le Zou China
Zhenhang Huang China
Xiaotian Wang China
Zheng Ge Japan
Zhenggong Han China
Zeren Sun
Citations per year, relative to Zeren Sun Zeren Sun (= 1×) peers Zhenggong Han

Countries citing papers authored by Zeren Sun

Since Specialization
Citations

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

Fields of papers citing papers by Zeren Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeren Sun

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

All Works

18 of 18 papers shown
1.
Sun, Zeren, et al.. (2025). Discriminative response pruning for robust and efficient deep networks under label noise. Pattern Recognition Letters. 199. 170–177.
2.
Chen, Tao, et al.. (2024). VideoMAC: Video Masked Autoencoders Meet ConvNets. arXiv (Cornell University). 22733–22743. 8 indexed citations
3.
Sun, Zeren, et al.. (2024). Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection. 1–6. 6 indexed citations
4.
Sun, Zeren, et al.. (2024). Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4820–4828. 5 indexed citations
5.
Sun, Zeren, et al.. (2024). Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach. 4406–4415. 1 indexed citations
6.
Cai, Xinhao, Qiuxia Lai, Yuwei Wang, et al.. (2024). Poly Kernel Inception Network for Remote Sensing Detection. 27706–27716. 182 indexed citations breakdown →
7.
Liu, Huafeng, et al.. (2024). Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. IEEE Transactions on Multimedia. 26. 7426–7437. 11 indexed citations
8.
Yao, Yazhou, et al.. (2023). Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device. IEEE Transactions on Multimedia. 25. 1592–1599. 21 indexed citations
9.
Sun, Zeren, Fumin Shen, Dan Huang, et al.. (2022). PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5301–5310. 46 indexed citations
10.
Sun, Zeren, Yazhou Yao, Xiu-Shen Wei, et al.. (2022). Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. IEEE Transactions on Multimedia. 25. 3284–3295. 6 indexed citations
11.
Sun, Zeren, Huafeng Liu, Qiong Wang, et al.. (2021). Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise. IEEE Transactions on Multimedia. 24. 1093–1104. 26 indexed citations
12.
Sun, Zeren, Yazhou Yao, Xiu-Shen Wei, et al.. (2021). Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10582–10591. 31 indexed citations
13.
Yao, Yazhou, Zeren Sun, Chuanyi Zhang, et al.. (2021). Jo-SRC: A Contrastive Approach for Combating Noisy Labels. 5188–5197. 101 indexed citations
14.
Sun, Zeren, Xian‐Sheng Hua, Yazhou Yao, et al.. (2020). CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning. 92–101. 29 indexed citations
15.
Sun, Zeren, Yazhou Yao, Jimin Xiao, et al.. (2020). Exploiting textual queries for dynamically visual disambiguation. Pattern Recognition. 110. 107620–107620. 8 indexed citations
16.
Yao, Yazhou, Xian‐Sheng Hua, Guanyu Gao, et al.. (2020). Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch. 1735–1744. 14 indexed citations
17.
Sun, Zeren, et al.. (2020). Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification. IEEE Access. 8. 186679–186690. 3 indexed citations
18.
Liu, Huafeng, Yazhou Yao, Zeren Sun, et al.. (2019). Road segmentation with image-LiDAR data fusion in deep neural network. Multimedia Tools and Applications. 79(47-48). 35503–35518. 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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