Fangzhou Mu

710 total citations · 1 hit paper
14 papers, 351 citations indexed

About

Fangzhou Mu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Instrumentation. According to data from OpenAlex, Fangzhou Mu has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Molecular Biology and 3 papers in Instrumentation. Recurrent topics in Fangzhou Mu's work include Advanced Optical Sensing Technologies (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Ultrasound Imaging and Elastography (2 papers). Fangzhou Mu is often cited by papers focused on Advanced Optical Sensing Technologies (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Ultrasound Imaging and Elastography (2 papers). Fangzhou Mu collaborates with scholars based in United States, China and Switzerland. Fangzhou Mu's co-authors include Chunyuan Li, Jianwei Yang, Yong Jae Lee, Qingyang Wu, Haotian Liu, Yuheng Li, Jianfeng Gao, Kevin A. Lanham, Jessica Plavicki and Jennifer L. Peters and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Developmental Biology.

In The Last Decade

Fangzhou Mu

13 papers receiving 342 citations

Hit Papers

GLIGEN: Open-Set Grounded Text-to-Image Generation 2023 2026 2024 2025 2023 50 100 150 200
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.

  1. GLIGEN: Open-Set Grounded Text-to-Image Generation
    2023 213 citations Yuheng Li, Haotian Liu et al. profile →

Peers

Fangzhou Mu
Steven McDonagh United Kingdom
Steffen Oeltze‐Jafra Germany
Guillaume Caron France
Mathias Gehrig Switzerland
Huiming Zhang China
Hengfu Yang China
Baris Sumengen United States
Yiran Zhong China
Art Pope United States
Steven McDonagh United Kingdom
Fangzhou Mu
Citations per year, relative to Fangzhou Mu Fangzhou Mu (= 1×) peers Steven McDonagh

Countries citing papers authored by Fangzhou Mu

Since Specialization
Citations

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

Fields of papers citing papers by Fangzhou Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangzhou Mu

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

All Works

14 of 14 papers shown
1.
Mu, Fangzhou, et al.. (2024). CollaborativeBEV: Collaborative bird eye view for reconstructing crowded environment. Image and Vision Computing. 147. 105060–105060. 2 indexed citations
2.
Mu, Fangzhou, et al.. (2024). FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition. 7465–7475. 10 indexed citations
3.
Mu, Fangzhou, et al.. (2024). SnAG: Scalable and Accurate Video Grounding. 18930–18940. 1 indexed citations
4.
Dou, Yimeng, Fangzhou Mu, Yin Li, & Tomy Varghese. (2024). Sensorless End-to-End Freehand 3-D Ultrasound Reconstruction With Physics-Guided Deep Learning. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(11). 1514–1525. 1 indexed citations
5.
Mu, Fangzhou, et al.. (2024). Towards 3D Vision with Low-Cost Single-Photon Cameras. 5302–5311. 2 indexed citations
6.
Dou, Yimeng, Fangzhou Mu, Yin Li, & Tomy Varghese. (2023). Sensorless End-to-End Freehand Ultrasound with Physics Inspired Network. 53. 1–4. 1 indexed citations
7.
Mu, Fangzhou, Andrei Ardelean, Claudio Bruschini, et al.. (2023). Learned Compressive Representations for Single-Photon 3D Imaging. PDXScholar (Portland State University). 10722–10732.
8.
Li, Yuheng, Haotian Liu, Qingyang Wu, et al.. (2023). GLIGEN: Open-Set Grounded Text-to-Image Generation. 22511–22521. 213 indexed citations breakdown →
9.
Mu, Fangzhou, et al.. (2022). An approachable, flexible and practical machine learning workshop for biologists. Bioinformatics. 38(Supplement_1). i10–i18. 3 indexed citations
10.
Mu, Fangzhou, et al.. (2022). Physics to the Rescue: Deep Non-Line-of-Sight Reconstruction for High-Speed Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6146–6158. 25 indexed citations
11.
Xu, Ran, Fangzhou Mu, Jayoung Lee, et al.. (2022). Smartadapt: Multi-branch Object Detection Framework for Videos on Mobiles. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2518–2528. 8 indexed citations
12.
Mu, Fangzhou, et al.. (2020). Towards Video-Based Automatic Lifting Load Prediction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64(1). 962–963. 5 indexed citations
13.
Zhao, Qi, et al.. (2018). Modeling Analysis of Potential Target of Dolastatin 16 by Computational Virtual Screening. Chemical and Pharmaceutical Bulletin. 66(6). 602–607. 5 indexed citations
14.
Umans, Robyn A., Fangzhou Mu, Chaithanyarani Parupalli, et al.. (2017). CNS angiogenesis and barriergenesis occur simultaneously. Developmental Biology. 425(2). 101–108. 75 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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