Bingchen Liu

752 total citations
6 papers, 217 citations indexed

About

Bingchen Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Bingchen Liu has authored 6 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in Bingchen Liu's work include Generative Adversarial Networks and Image Synthesis (4 papers), Cancer-related molecular mechanisms research (2 papers) and Multimodal Machine Learning Applications (2 papers). Bingchen Liu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Cancer-related molecular mechanisms research (2 papers) and Multimodal Machine Learning Applications (2 papers). Bingchen Liu collaborates with scholars based in Netherlands, United States and Germany. Bingchen Liu's co-authors include Ahmed Elgammal, Yizhe Zhu, Jianwen Xie, Gerard de Melo, Zuohui Fu and Marian Mazzone and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Bingchen Liu

6 papers receiving 212 citations

Peers

Bingchen Liu
Aron Yu United States
Jason Ramapuram Switzerland
Hanshu Yan Singapore
Wenhao Chai United States
Mehdi Cherti Germany
Kunming Luo China
Jungbeom Lee South Korea
Nathan Drenkow United States
Utkarsh Ojha United States
Xuhui Jia United States
Aron Yu United States
Bingchen Liu
Citations per year, relative to Bingchen Liu Bingchen Liu (= 1×) peers Aron Yu

Countries citing papers authored by Bingchen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bingchen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingchen Liu

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

All Works

6 of 6 papers shown
1.
Liu, Bingchen, et al.. (2021). Self-Supervised Sketch-to-Image Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2073–2081. 26 indexed citations
2.
Liu, Bingchen, et al.. (2021). TIME: Text and Image Mutual-Translation Adversarial Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2082–2090. 24 indexed citations
3.
Liu, Bingchen, et al.. (2021). Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. arXiv (Cornell University). 78 indexed citations
4.
Liu, Bingchen, Yizhe Zhu, Zuohui Fu, Gerard de Melo, & Ahmed Elgammal. (2020). OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4836–4843. 16 indexed citations
5.
Zhu, Yizhe, Jianwen Xie, Bingchen Liu, & Ahmed Elgammal. (2019). Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. 9843–9853. 66 indexed citations
6.
Liu, Bingchen, et al.. (2018). Finding Principal Semantics of Style in Art. 156–163. 7 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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2026