Jun Han

1.2k total citations
76 papers, 774 citations indexed

About

Jun Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Han has authored 76 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Jun Han's work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (11 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). Jun Han is often cited by papers focused on Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (11 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). Jun Han collaborates with scholars based in China, United States and Hong Kong. Jun Han's co-authors include Chaoli Wang, Danny Z. Chen, Jun Tao, Hao Zheng, Xuefei Chen, Jing Liu, J.R. Zeidler, W.H. Ku, Jing Liu and Daniel Zhang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and Frontiers in Pharmacology.

In The Last Decade

Jun Han

70 papers receiving 739 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Han China 15 390 175 139 106 76 76 774
Shuyang Gu China 8 723 1.9× 180 1.0× 156 1.1× 106 1.0× 62 0.8× 26 984
Jared Hoberock United States 9 426 1.1× 407 2.3× 51 0.4× 196 1.8× 43 0.6× 10 757
Partha Pratim Das India 14 486 1.2× 110 0.6× 138 1.0× 33 0.3× 28 0.4× 109 852
Feng Sun China 15 252 0.6× 480 2.7× 93 0.7× 452 4.3× 21 0.3× 72 1.1k
Mahsa Baktashmotlagh Australia 15 482 1.2× 67 0.4× 580 4.2× 101 1.0× 38 0.5× 39 945
Mario Lučić United States 15 436 1.1× 63 0.4× 350 2.5× 62 0.6× 98 1.3× 30 710
Sylvain Pion France 15 167 0.4× 411 2.3× 65 0.5× 242 2.3× 124 1.6× 34 768
Ofir Pele Israel 8 319 0.8× 24 0.1× 188 1.4× 50 0.5× 63 0.8× 11 644
Florinel-Alin Croitoru Romania 4 348 0.9× 31 0.2× 222 1.6× 39 0.4× 42 0.6× 7 849

Countries citing papers authored by Jun Han

Since Specialization
Citations

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

Fields of papers citing papers by Jun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Han

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

All Works

20 of 20 papers shown
1.
Han, Jun, Hao Zheng, & Jun Tao. (2025). A Study of Data Augmentation for Learning-Driven Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics. 31(10). 8981–8993.
2.
Han, Jun & Fan Yang. (2025). DCINR: A Divide-and-Conquer Implicit Neural Representation for Compressing Time-Varying Volumetric Data in Hours. IEEE Transactions on Visualization and Computer Graphics. 31(10). 8116–8128. 1 indexed citations
3.
Han, Jun, et al.. (2025). DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research. IEEE Transactions on Visualization and Computer Graphics. 31(6). 3796–3808.
4.
Zhang, Yongning, Lei Zhou, Xinna Ge, et al.. (2025). Foxp3 inhibits PCV2 replication by reducing the ATPase activity of Rep. Veterinary Microbiology. 304. 110441–110441. 2 indexed citations
5.
Zhou, Li, Dan Luo, Wei Lü, et al.. (2024). Gastrointestinal tract organoids as novel tools in drug discovery. Frontiers in Pharmacology. 15. 1463114–1463114. 4 indexed citations
6.
7.
Han, Jun, Hao Zheng, & Chongke Bi. (2023). KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation. IEEE Transactions on Visualization and Computer Graphics. 30(10). 6826–6838. 6 indexed citations
8.
Han, Jun, et al.. (2023). GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization. Computers & Graphics. 112. 92–104. 7 indexed citations
9.
Han, Jun & Chaoli Wang. (2022). SurfNet: Learning Surface Representations via Graph Convolutional Network. Computer Graphics Forum. 41(3). 109–120. 4 indexed citations
10.
Han, Jun & Chaoli Wang. (2022). CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network. IEEE Transactions on Visualization and Computer Graphics. 29(12). 4951–4963. 33 indexed citations
11.
Wang, Chaoli & Jun Han. (2022). DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics. 29(8). 3714–3733. 39 indexed citations
12.
Han, Jun, et al.. (2021). Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising. IEEE Computer Graphics and Applications. 41(6). 111–121. 23 indexed citations
13.
Guo, Li, Jun Han, Hao Zheng, et al.. (2020). SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 71–80. 42 indexed citations
14.
Han, Jun. (2020). Analysis of Gas-water Flow Transition Characteristics Based on Multiscale Limited Penetrable Visibility Graph. Scientific Reports. 10(1). 7030–7030. 3 indexed citations
15.
Lombardo, Salvator, Jun Han, Christopher Schroers, & Stephan Mandt. (2019). Deep Generative Video Compression. Neural Information Processing Systems. 32. 9283–9294. 5 indexed citations
16.
Han, Jun, Jun Tao, Hao Zheng, et al.. (2019). Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications. 39(4). 54–67. 32 indexed citations
17.
Han, Jun & Qiang Liu. (2017). Stein Variational Adaptive Importance Sampling.. Uncertainty in Artificial Intelligence. 2 indexed citations
18.
Haist, Frank, et al.. (2011). On the development of human face-processing abilities: Evidence for hyperactivation of the extended face system in children. Journal of Vision. 11(11). 461–461. 1 indexed citations
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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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