Haonan Wang

1.3k total citations · 1 hit paper
12 papers, 748 citations indexed

About

Haonan Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Haonan Wang has authored 12 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Haonan Wang's work include Advanced Neural Network Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging and Analysis (3 papers). Haonan Wang is often cited by papers focused on Advanced Neural Network Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging and Analysis (3 papers). Haonan Wang collaborates with scholars based in China, Canada and United States. Haonan Wang's co-authors include Osmar R. Zaı̈ane, Peng Cao, Jiaqi Wang, Jinzhu Yang, Hanlin Chen, Xiaoli Liu, Peng Cao, Zhongfeng Wang, Tianyi Xu and Jun Lin and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Neural Networks and Journal of Cellular and Molecular Medicine.

In The Last Decade

Haonan Wang

9 papers receiving 741 citations

Hit Papers

UCTransNet: Rethinking the Skip Connections in U-Net from... 2022 2026 2023 2024 2022 200 400 600
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. UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer
    2022 614 citations Haonan Wang, Peng Cao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Haonan Wang
Jiayu Xu China
Amirhossein Kazerouni Iran
Ehsan Khodapanah Aghdam Germany
Jintai Chen China
Qihang Yu United States
Saeid Asgari Taghanaki Canada
Yixiong Liang China
Lingqiao Li China
Reza Azad Germany
Jiayu Xu China
Haonan Wang
Citations per year, relative to Haonan Wang Haonan Wang (= 1×) peers Jiayu Xu

Countries citing papers authored by Haonan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haonan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haonan Wang

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

All Works

12 of 12 papers shown
1.
Yan, Penghui, Runzhi Huang, Yu Qiao, et al.. (2025). Molecular Subtypes and Risk Prediction Model Based on Malignant Cell Differentiation Trajectories in Breast Cancer. Journal of Cellular and Molecular Medicine. 29(15). e70680–e70680.
2.
3.
Xu, Peipei, Haonan Wang, Fang Luo, et al.. (2025). An efficient strategy for early sex identification in Litsea cubeba based on portable Raman technology combined with machine learning algorithms. Journal of Food Composition and Analysis. 140. 107242–107242. 1 indexed citations
4.
Wang, Haonan, et al.. (2025). S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(11). 4487–4498.
5.
Wang, Haonan, Peng Cao, Jinzhu Yang, & Osmar R. Zaı̈ane. (2024). Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks. 178. 106546–106546. 40 indexed citations
6.
Wang, Haonan, et al.. (2023). MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Information Science and Systems. 11(1). 10–10. 22 indexed citations
7.
Wang, Haonan, Connor Imes, Souvik Kundu, et al.. (2023). Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. 1–5. 4 indexed citations
8.
Cao, Peng, et al.. (2022). MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Applied Intelligence. 53(2). 1586–1604. 42 indexed citations
9.
Wang, Haonan, Peng Cao, Jiaqi Wang, & Osmar R. Zaı̈ane. (2022). UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2441–2449. 614 indexed citations breakdown →
10.
Wang, Haonan, et al.. (2020). An Improved Breast Cancer Nuclei Segmentation Method Based on UNet++. 193–197. 5 indexed citations
11.
Wang, Haonan, et al.. (2019). A Low-latency Sparse-Winograd Accelerator for Convolutional Neural Networks. 1448–1452. 19 indexed citations
12.
Wang, Haonan, Jun Lin, Yi Xie, Bo Yuan, & Zhongfeng Wang. (2018). Efficient Reconfigurable Hardware Core for Convolutional Neural Networks. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. pp. 777–781. 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.

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