Zongyan Han

628 total citations · 1 hit paper
13 papers, 378 citations indexed

About

Zongyan Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Zongyan Han has authored 13 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Mechanics of Materials. Recurrent topics in Zongyan Han's work include Hydrocarbon exploration and reservoir analysis (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Zongyan Han is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Zongyan Han collaborates with scholars based in China, Japan and United Arab Emirates. Zongyan Han's co-authors include Jian Yang, Zhenyong Fu, Shuo Chen, Guiwen Wang, Jian Yang, Le Hui, Jun Li, Kunyu Wu, Quanqi Dai and Zhao Xing and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Zongyan Han

13 papers receiving 375 citations

Hit Papers

Contrastive Embedding for Generalized Zero-Shot Learning 2021 2026 2022 2024 2021 50 100 150

Peers

Zongyan Han
Zongyan Han
Citations per year, relative to Zongyan Han Zongyan Han (= 1×) peers Pedro Ribeiro Mendes Júnior

Countries citing papers authored by Zongyan Han

Since Specialization
Citations

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

Fields of papers citing papers by Zongyan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongyan Han

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

All Works

13 of 13 papers shown
1.
Han, Zongyan, et al.. (2025). MIRA: A Novel Framework for Fusing Modalities in Medical RAG. 6307–6315. 2 indexed citations
2.
Han, Zongyan, et al.. (2024). Lithofacies Characteristics of Gulong Shale and Its Influence on Reservoir Physical Properties. Energies. 17(4). 779–779. 3 indexed citations
3.
Han, Zongyan, Zhenyong Fu, Le Hui, et al.. (2024). ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7025–7036. 3 indexed citations
5.
Pang, Xiaojiao, Guiwen Wang, Nigel P. Mountney, et al.. (2023). Prediction of lamina structure and reservoir quality in shale using well logs: The Cretaceous Qingshankou Formation, Gulong Sag, Songliao Basin, China. Geoenergy Science and Engineering. 227. 211827–211827. 6 indexed citations
6.
Han, Zongyan, Zhenyong Fu, Shuo Chen, & Jian Yang. (2022). Semantic Contrastive Embedding for Generalized Zero-Shot Learning. International Journal of Computer Vision. 130(11). 2606–2622. 19 indexed citations
7.
Han, Zongyan, et al.. (2022). Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2902–2910. 16 indexed citations
8.
Dai, Quanqi, Guiwen Wang, Zhao Xing, et al.. (2021). Fractal model for permeability estimation in low-permeable porous media with variable pore sizes and unevenly adsorbed water lay. Marine and Petroleum Geology. 130. 105135–105135. 25 indexed citations
9.
Zhao, Xiaoqing, et al.. (2021). Permeability prediction of multi-stage tight gas sandstones based on Bayesian regularization neural network. Marine and Petroleum Geology. 133. 105320–105320. 18 indexed citations
10.
Han, Zongyan, Zhenyong Fu, Shuo Chen, & Jian Yang. (2021). Contrastive Embedding for Generalized Zero-Shot Learning. 2371–2381. 175 indexed citations breakdown →
11.
Chen, Shuo, et al.. (2020). Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering. IEEE Transactions on Cybernetics. 52(6). 5408–5418. 21 indexed citations
12.
Han, Zongyan, Zhenyong Fu, & Jian Yang. (2020). Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition. 12862–12871. 77 indexed citations
13.
Han, Zongyan, Zhenyong Fu, Guangyu Li, & Jian Yang. (2020). Inference guided feature generation for generalized zero-shot learning. Neurocomputing. 430. 150–158. 12 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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