Zongbo Han

1.2k total citations · 1 hit paper
12 papers, 705 citations indexed

About

Zongbo Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Zongbo Han has authored 12 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Ophthalmology. Recurrent topics in Zongbo Han's work include Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Zongbo Han is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Zongbo Han collaborates with scholars based in China, Singapore and United States. Zongbo Han's co-authors include Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu, Junzhou Huang, Jianhua Yao, Fan Yang, Changqing Zhang, Haining Li and Yeqing Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Zongbo Han

11 papers receiving 697 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.

Trusted Multi-View Classification With Dynamic Evidential Fusion

2022 221 citations Zongbo Han, Changqing Zhang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Zongbo Han

AI

CVPR

MT

SP

MB

Luping Ji China

Akshay Vashist United States

Mingming Sun China

Kuan Li China

Alaaeldin El-Nouby Sweden

Mahdieh Soleymani Baghshah Iran

Zi-Rui Wang China

Ronggui Wang China

Zonghai Zhu China

Zhao-Min Chen China

Luping Ji China

Zongbo Han

332 ×0.8

AI

453 ×1.3

CVPR

99 ×1.3

MT

77 ×1.5

SP

26 ×0.7

MB

Citations per year, relative to Zongbo Han Zongbo Han (= 1×) peers Luping Ji

Countries citing papers authored by Zongbo Han

Since Specialization

Citations

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

Fields of papers citing papers by Zongbo Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongbo Han

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

12 of 12 papers shown

1.

Zhao, Yu, Bing He, Zongbo Han, et al.. (2024). Learning With Noisy Labels Over Imbalanced Subpopulations. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6544–6555. 7 indexed citations

2.

Zou, Ke, Zongbo Han, Meng Wang, et al.. (2024). Confidence-aware multi-modality learning for eye disease screening. Medical Image Analysis. 96. 103214–103214. 3 indexed citations

3.

Han, Zongbo, et al.. (2024). A principled framework for explainable multimodal disentanglement. Information Sciences. 675. 120768–120768.

4.

Bai, Yichen, et al.. (2024). ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. 17480–17489. 5 indexed citations

5.

Han, Zongbo, et al.. (2023). Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. 19873–19882. 17 indexed citations

6.

Zhang, Changqing, et al.. (2022). Autoencoder in Autoencoder Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2263–2275. 29 indexed citations

7.

Han, Zongbo, et al.. (2022). Trustworthy Long-Tailed Classification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6960–6969. 47 indexed citations

8.

Han, Zongbo, Changqing Zhang, Huazhu Fu, & Joey Tianyi Zhou. (2022). Trusted Multi-View Classification With Dynamic Evidential Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2551–2566. 221 indexed citations breakdown →

9.

Han, Zongbo, Fan Yang, Junzhou Huang, Changqing Zhang, & Jianhua Yao. (2022). Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20675–20685. 88 indexed citations

10.

Han, Zongbo, et al.. (2021). Uncertainty-Aware Multi-View Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7545–7553. 44 indexed citations

11.

Zhang, Changqing, et al.. (2020). Deep Partial Multi-View Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(5). 1–1. 188 indexed citations

12.

Zhang, Changqing, et al.. (2019). CPM-Nets: Cross Partial Multi-View Networks. Neural Information Processing Systems. 32. 557–567. 56 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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