Bin Fu

1.8k total citations · 2 hit papers
102 papers, 989 citations indexed

About

Bin Fu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Bin Fu has authored 102 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Bin Fu's work include Advanced MIMO Systems Optimization (8 papers), Image Retrieval and Classification Techniques (7 papers) and Oceanographic and Atmospheric Processes (7 papers). Bin Fu is often cited by papers focused on Advanced MIMO Systems Optimization (8 papers), Image Retrieval and Classification Techniques (7 papers) and Oceanographic and Atmospheric Processes (7 papers). Bin Fu collaborates with scholars based in China, United States and Hong Kong. Bin Fu's co-authors include Christos Faloutsos, Lei Li, Norman Sadeh, Jialiu Lin, Jason Hong, Yong‐Ling Ban, Ji-Wei Lian, Gang Yu, Zhe‐Feng Yu and Liangkui Sun and has published in prestigious journals such as Biometrika, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Bin Fu

94 papers receiving 951 citations

Hit Papers

align trajectories

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.

Why people hate your app

2013 267 citations Bin Fu et al. profile →
Executing your Commands via Motion Diffusion in Latent Space

2023 116 citations Bin Fu, Gang Yu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Fu China	13	246	234	217	211	129	102	989
Dino Giuli Italy	17	155 0.6×	197 0.8×	552 2.5×	133 0.6×	124 1.0×	115	1.4k
Guang Hua China	21	772 3.1×	242 1.0×	217 1.0×	101 0.5×	256 2.0×	61	1.4k
Jin Tian China	17	82 0.3×	124 0.5×	293 1.4×	70 0.3×	194 1.5×	117	926
Chen United States	12	204 0.8×	75 0.3×	65 0.3×	108 0.5×	313 2.4×	226	891
Hae‐Dong Kim South Korea	16	92 0.4×	93 0.4×	582 2.7×	108 0.5×	144 1.1×	180	1.1k
Liguo Zhang China	17	362 1.5×	134 0.6×	141 0.6×	110 0.5×	169 1.3×	106	1.0k
Qiang Fu China	19	180 0.7×	190 0.8×	703 3.2×	44 0.2×	445 3.4×	137	1.4k
Ramazan Aygün United States	14	273 1.1×	201 0.9×	38 0.2×	80 0.4×	138 1.1×	115	1.0k
Marwan Bikdash United States	16	101 0.4×	118 0.5×	75 0.3×	53 0.3×	193 1.5×	120	900
Stanley C. Ahalt United States	19	543 2.2×	112 0.5×	91 0.4×	99 0.5×	715 5.5×	110	1.6k

Countries citing papers authored by Bin Fu

Since Specialization

Citations

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

Fields of papers citing papers by Bin Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Jiang, Wen, et al.. (2026). StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation. IEEE Journal of Selected Topics in Signal Processing. 1–10.

2.

Deng, Zhongying, Junlong Cheng, Yanzhou Su, et al.. (2025). SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 17599–17612. 1 indexed citations

3.

Cao, Mingxuan, Houle Gan, Bin Fu, et al.. (2025). Density prediction for selective laser melting fabricated of CuCrZr alloy using hybrid Gaussian boosted regression. Journal of Laser Applications. 37(1). 1 indexed citations

4.

Tian, Yuntao, Bojiang Li, Hongjing Zhong, et al.. (2025). A Method for Reconstructing Denudation Histories From Big Global Thermochronologic Data, Tested on the Dabie Orogen, Eastern China. Journal of Geophysical Research Solid Earth. 130(3).

5.

Cheng, Junlong, Bin Fu, Jin Ye, et al.. (2025). Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. 20841–20851. 4 indexed citations

6.

Lu, Guangming, et al.. (2025). Alectinib causes sinus bradycardia by suppressing L-type calcium current in sinus node. European Journal of Pharmacology. 998. 177527–177527. 1 indexed citations

7.

Fu, Bin, et al.. (2024). Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models. 6892–6901. 3 indexed citations

8.

Hu, Kai, et al.. (2023). Enhancing quality of pose-varied face restoration with local weak feature sensing and GAN prior. Neural Computing and Applications. 36(1). 399–412. 2 indexed citations

9.

Huang, Chenyu, Jiawei Yao, Bin Fu, et al.. (2023). Sensitivity analysis of WRF-CFD-based downscaling methods for evaluation of urban pedestrian-level wind. Urban Climate. 49. 101569–101569. 21 indexed citations

10.

Fu, Bin, et al.. (2022). Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion. IEEE Transactions on Multimedia. 25. 4718–4729. 6 indexed citations

11.

Zhou, Shiyu, et al.. (2020). 5G Core Network Framework Based on Artificial Intelligence. 1460–1464. 2 indexed citations

12.

Guo, Lanqing, et al.. (2019). Robust Text Line Detection in Equipment Nameplate Images. 889–894. 4 indexed citations

13.

Dan, Lilin, et al.. (2018). Power allocation for multi-homing heterogeneous network aided by energy harvesting. 515–519. 1 indexed citations

14.

Mei, Weidong, Bin Fu, Lingxiang Li, Zhi Chen, & Chuan Huang. (2016). Artificial-noise aided transmit design for multi-user MISO systems with service integration and energy harvesting. 219–225. 4 indexed citations

15.

Fu, Bin, Zhaoming Lu, Xiangming Wen, Luhan Wang, & Hua Shao. (2013). Visual attention modeling for video quality assessment with structural similarity. Wireless Personal Multimedia Communications. 1–5. 2 indexed citations

16.

Fu, Bin, et al.. (2013). Research and application of heart sound alignment and descriptor. Computers in Biology and Medicine. 43(3). 211–218. 4 indexed citations

17.

Pan, Rong, et al.. (2012). Improving Recommendations by the Clustering of Tag Neighbours. VBN Forskningsportal (Aalborg Universitet). 3(1). 13–20. 26 indexed citations

18.

Wang, Zhongfeng, Zhihai Wang, & Bin Fu. (2010). Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling. 7. 899–904. 1 indexed citations

19.

Fu, Bin. (2008). Analysis of Internal Wave SAR Image with Multi-frequency. Marine Science Bulletin. 1 indexed citations

20.

Lu, Yao, et al.. (2005). Optimal SAR parameters for ship detection. 4. 2554–2555. 3 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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