Ligong Han

698 total citations
19 papers, 278 citations indexed

About

Ligong Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ligong Han has authored 19 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ligong Han's work include Generative Adversarial Networks and Image Synthesis (5 papers), Medical Image Segmentation Techniques (3 papers) and Video Analysis and Summarization (3 papers). Ligong Han is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Medical Image Segmentation Techniques (3 papers) and Video Analysis and Summarization (3 papers). Ligong Han collaborates with scholars based in United States, Netherlands and Canada. Ligong Han's co-authors include Dimitris Metaxas, Jian Ren, Yinxiao Li, Han Zhang, Peyman Milanfar, Feng Yang, Kyle Olszewski, Marios Savvides, Shervin Minaee and Ngan Le and has published in prestigious journals such as Pattern Recognition, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and PubMed.

In The Last Decade

Ligong Han

15 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ligong Han United States 8 207 58 48 15 13 19 278
Yanze Wu China 3 199 1.0× 54 0.9× 61 1.3× 22 1.5× 34 2.6× 5 281
Yuxin Zhang China 7 208 1.0× 54 0.9× 59 1.2× 23 1.5× 20 1.5× 38 293
Tim Dockhorn Germany 2 200 1.0× 43 0.7× 44 0.9× 16 1.1× 31 2.4× 2 262
Gwanghyun Kim South Korea 3 227 1.1× 62 1.1× 51 1.1× 32 2.1× 13 1.0× 3 283
Narek Tumanyan Israel 3 250 1.2× 37 0.6× 69 1.4× 31 2.1× 17 1.3× 5 306
Utkarsh Ojha United States 4 228 1.1× 81 1.4× 36 0.8× 10 0.7× 5 0.4× 9 271
Krishna Kumar Singh United States 5 279 1.3× 57 1.0× 66 1.4× 14 0.9× 4 0.3× 12 329
Shih-Yang Su Taiwan 6 219 1.1× 44 0.8× 94 2.0× 37 2.5× 16 1.2× 8 266
Hila Chefer Israel 4 169 0.8× 47 0.8× 48 1.0× 12 0.8× 19 1.5× 4 226
Nupur Kumari United States 6 283 1.4× 111 1.9× 62 1.3× 28 1.9× 17 1.3× 14 395

Countries citing papers authored by Ligong Han

Since Specialization
Citations

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

Fields of papers citing papers by Ligong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ligong Han

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

All Works

19 of 19 papers shown
1.
2.
Wang, Zhenting, Shiyu Zhao, Zhuowei Li, et al.. (2025). MLLM-as-a-Judge for Image Safety without Human Labeling. 14657–14666.
3.
Zhang, Xinxi, Wen Song, Ligong Han, et al.. (2025). SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. PubMed. 2025. 4665–4682.
4.
5.
Han, Ligong, et al.. (2024). Score-Guided Diffusion for 3D Human Recovery. 906–915. 6 indexed citations
6.
Han, Ligong, Wen Song, Qi Chen, et al.. (2024). ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. 4279–4289. 13 indexed citations
7.
Song, Kunpeng, Ligong Han, Bingchen Liu, Dimitris Metaxas, & Ahmed Elgammal. (2024). StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. 5441–5451. 5 indexed citations
8.
9.
Pavlakos, Georgios, et al.. (2023). Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. 13092–13101. 3 indexed citations
10.
Han, Ligong, et al.. (2023). SINE: SINgle Image Editing with Text-to-Image Diffusion Models. 6027–6037. 76 indexed citations
11.
Han, Ligong, Yinxiao Li, Han Zhang, et al.. (2023). SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. 7289–7300. 86 indexed citations
12.
Han, Ligong, Jian Ren, Hsin-Ying Lee, et al.. (2022). Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3605–3615. 30 indexed citations
13.
Han, Ligong, et al.. (2022). AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 955–964. 7 indexed citations
14.
Sun, Wei, et al.. (2022). Enhancing Counterfactual Classification Performance via Self-Training. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6665–6673. 2 indexed citations
15.
Saar‐Tsechansky, Maytal, et al.. (2021). Human-AI Collaboration with Bandit Feedback. 1722–1728. 12 indexed citations
16.
Han, Ligong, et al.. (2020). Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10909–10916. 10 indexed citations
17.
Han, Ligong, et al.. (2019). Unsupervised Domain Adaptation via Calibrating Uncertainties. Computer Vision and Pattern Recognition. 99–102. 7 indexed citations
18.
Le, Ngan, Chi Nhan Duong, Ligong Han, et al.. (2018). Deep contextual recurrent residual networks for scene labeling. Pattern Recognition. 80. 32–41. 17 indexed citations
19.
Han, Ligong, Ngan Le, & Marios Savvides. (2017). An automatic cells detection and segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10137. 101370W–101370W. 2 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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