Biting Yu

1.4k total citations · 1 hit paper
15 papers, 998 citations indexed

About

Biting Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Biting Yu has authored 15 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Biting Yu's work include Image and Signal Denoising Methods (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (5 papers). Biting Yu is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (5 papers). Biting Yu collaborates with scholars based in China, Australia and United States. Biting Yu's co-authors include Luping Zhou, Lei Wang, Dinggang Shen, Yan Wang, Jürgen Fripp, Pierrick Bourgeat, Chen Zu, David S. Lalush, Xi Wu and Weili Lin and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Biting Yu

15 papers receiving 980 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.

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

2018 321 citations Yan Wang, Biting Yu et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Biting Yu China	12	516	481	218	180	141	15	998
Roger Trullo United States	6	460 0.9×	531 1.1×	264 1.2×	201 1.1×	61 0.4×	11	976
Chen Zu China	19	564 1.1×	643 1.3×	383 1.8×	220 1.2×	74 0.5×	57	1.5k
Yicheng Wu China	12	392 0.8×	325 0.7×	151 0.7×	128 0.7×	86 0.6×	32	775
Darko Zikic United States	18	777 1.5×	484 1.0×	188 0.9×	263 1.5×	40 0.3×	38	1.3k
Yongsheng Pan China	16	267 0.5×	242 0.5×	230 1.1×	161 0.9×	35 0.2×	80	1.0k
Fahad Shamshad Pakistan	7	301 0.6×	312 0.6×	280 1.3×	109 0.6×	49 0.3×	16	782
Onat Dalmaz Türkiye	7	292 0.6×	311 0.6×	197 0.9×	100 0.6×	44 0.3×	17	658
Javad Alirezaie Canada	17	429 0.8×	393 0.8×	139 0.6×	306 1.7×	81 0.6×	113	1.1k
Ning Guo United States	10	186 0.4×	444 0.9×	133 0.6×	189 1.1×	53 0.4×	22	774
Joyita Dutta United States	20	240 0.5×	865 1.8×	96 0.4×	426 2.4×	68 0.5×	58	1.3k

Countries citing papers authored by Biting Yu

Since Specialization

Citations

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

Fields of papers citing papers by Biting Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biting Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Biting Yu. A scholar is included among the top collaborators of Biting Yu 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 Biting Yu. Biting Yu 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:

15 of 15 papers shown

1.

Yu, Biting, Luping Zhou, Lei Wang, et al.. (2021). SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation. IEEE Transactions on Medical Imaging. 40(5). 1417–1427. 32 indexed citations

2.

Zhou, Luping, et al.. (2021). Efficient radiation dose reduction in whole-brain CT perfusion imaging using a 3D GAN: performance and clinical feasibility. Physics in Medicine and Biology. 66(7). 75008–75008. 15 indexed citations

3.

Yu, Biting, Yan Wang, Lei Wang, Dinggang Shen, & Luping Zhou. (2020). Medical Image Synthesis via Deep Learning. Advances in experimental medicine and biology. 1213. 23–44. 45 indexed citations

4.

Yu, Biting, Luping Zhou, Lei Wang, et al.. (2020). Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis. IEEE Transactions on Medical Imaging. 39(7). 2339–2350. 26 indexed citations

5.

Yu, Biting, Luping Zhou, Lei Wang, et al.. (2019). Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis. IEEE Transactions on Medical Imaging. 38(7). 1750–1762. 184 indexed citations

6.

Zhou, Luping, et al.. (2019). Estimation of full-dose 4D CT perfusion images from low-dose images using conditional generative adversarial networks. 1–3. 5 indexed citations

7.

Wang, Yan, Luping Zhou, Biting Yu, et al.. (2018). 3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. IEEE Transactions on Medical Imaging. 38(6). 1328–1339. 155 indexed citations

8.

Wang, Yan, Luping Zhou, Lei Wang, et al.. (2018). Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. Lecture notes in computer science. 11070. 329–337. 23 indexed citations

9.

Wang, Yan, Biting Yu, Lei Wang, et al.. (2018). 3D conditional generative adversarial networks for high-quality PET image estimation at low dose. NeuroImage. 174. 550–562. 321 indexed citations breakdown →

10.

Wang, Yan, Biting Yu, Lei Wang, et al.. (2018). Tumor segmentation via multi-modality joint dictionary learning. 1336–1339. 3 indexed citations

11.

Yu, Biting, Luping Zhou, Lei Wang, Jürgen Fripp, & Pierrick Bourgeat. (2018). 3D cGAN based cross-modality MR image synthesis for brain tumor segmentation. 626–630. 74 indexed citations

12.

Jia, Bo, et al.. (2016). Adaptive affinity propagation method based on improved cuckoo search. Knowledge-Based Systems. 111. 27–35. 21 indexed citations

13.

Huang, Dan, Lu Ding, Biting Yu, et al.. (2016). Cognitive state recognition using wavelet singular entropy and ARMA entropy with AFPA optimized GP classification. Neurocomputing. 197. 29–44. 7 indexed citations

14.

Jia, Bo, Biting Yu, Qi Wu, et al.. (2016). Hybrid local diffusion maps and improved cuckoo search algorithm for multiclass dataset analysis. Neurocomputing. 189. 106–116. 15 indexed citations

15.

Yu, Biting, Bo Jia, Lu Ding, et al.. (2015). Hybrid dual-tree complex wavelet transform and support vector machine for digital multi-focus image fusion. Neurocomputing. 182. 1–9. 72 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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