Yuanzhi Cheng

757 total citations
48 papers, 572 citations indexed

About

Yuanzhi Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuanzhi Cheng has authored 48 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuanzhi Cheng's work include Medical Image Segmentation Techniques (18 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and AI in cancer detection (8 papers). Yuanzhi Cheng is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and AI in cancer detection (8 papers). Yuanzhi Cheng collaborates with scholars based in China, Japan and Australia. Yuanzhi Cheng's co-authors include Shinichi Tamura, Yadong Wang, Jinke Wang, Changfa Shi, Ji Wang, Shengjun Zhou, Jing Bai, Jing Bai, Kensaku Mori and Xue Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yuanzhi Cheng

40 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanzhi Cheng China	13	260	253	138	100	95	48	572
Yanlin Tan China	17	135 0.5×	224 0.9×	201 1.5×	99 1.0×	62 0.7×	36	633
Zhehao Dai China	16	166 0.6×	189 0.7×	176 1.3×	162 1.6×	70 0.7×	35	690
André Homeyer Germany	13	229 0.9×	294 1.2×	376 2.7×	48 0.5×	93 1.0×	37	835
Yading Yuan United States	12	230 0.9×	314 1.2×	503 3.6×	98 1.0×	88 0.9×	37	971
Guanzhong Gong China	15	156 0.6×	470 1.9×	117 0.8×	239 2.4×	92 1.0×	91	753
Donato Cascio Italy	15	199 0.8×	323 1.3×	259 1.9×	196 2.0×	65 0.7×	48	664
Dzhoshkun I. Shakir United Kingdom	9	160 0.6×	221 0.9×	131 0.9×	50 0.5×	105 1.1×	22	532
Albert Comelli Italy	23	168 0.6×	710 2.8×	197 1.4×	382 3.8×	265 2.8×	67	1.2k
Guilherme Moura Cunha United States	18	75 0.3×	306 1.2×	74 0.5×	39 0.4×	81 0.9×	50	935

Countries citing papers authored by Yuanzhi Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Yuanzhi Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanzhi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanzhi Cheng. A scholar is included among the top collaborators of Yuanzhi Cheng 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 Yuanzhi Cheng. Yuanzhi Cheng 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

Cheng, Yuanzhi, et al.. (2026). METTL3-mediated m6A on nascent RNA coordinates translational and transcriptional programs to activate the NLRP3 inflammasome in macrophages. Cell Reports. 45(1). 116808–116808.

Cheng, Yuanzhi, Fan Yang, Renpeng Zhou, et al.. (2025). A Phase I Study to Evaluate the Relative Bioavailability, Pharmacodynamics, and Safety of a Single Subcutaneous Injection of Recaticimab at Three Different Sites in Healthy Chinese Subjects. European Journal of Drug Metabolism and Pharmacokinetics. 50(3). 265–272.

Wu, Xianxian, Xuanyu Liu, Yuanzhi Cheng, et al.. (2025). Single-cell RNA sequencing reveals endothelial cell heterogeneity and Sox18-mediated EndMT in abdominal aortic aneurysm. Theranostics. 15(18). 9486–9507.

Lu, Xiaoxi, Hong Zhang, Weifa Su, et al.. (2025). Intestinal microbiota-derived d-(+)-malic acid promotes pBD1 expression via p-p38/ATF1 signaling pathway to maintain porcine intestinal health. International Immunopharmacology. 154. 114552–114552.

Zhang, Pengfei, et al.. (2024). Shape prior-constrained deep learning network for medical image segmentation. Computers in Biology and Medicine. 180. 108932–108932. 2 indexed citations

Li, Hui, et al.. (2024). 3D Object Detection Method with Image Semantic Feature Guidance and Cross-Modal Fusion of Point Cloud. Journal of Computer-Aided Design & Computer Graphics. 36(5). 734–749.

Xiang, Jianxing, Yuanzhi Cheng, Yan Wang, et al.. (2024). Pharmacokinetics, Pharmacodynamics, Safety, and Tolerability of Oral AL01211 in Healthy Chinese Volunteers. Clinical Drug Investigation. 44(6). 387–398. 1 indexed citations

Cheng, Yuanzhi, et al.. (2023). MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs. Applied Soft Computing. 143. 110394–110394. 12 indexed citations

Zhao, Yingjie, Cheng Sun, Fan Chen, et al.. (2023). ASIC1a-CMPK2-mediated M1 macrophage polarization exacerbates chondrocyte senescence in osteoarthritis through IL-18. International Immunopharmacology. 124(Pt A). 110878–110878. 16 indexed citations

10.

Wang, Yan, Ziwei Ouyang, Wen‐Juan Hao, et al.. (2023). Targeting regulated chondrocyte death in osteoarthritis therapy. Biochemical Pharmacology. 215. 115707–115707. 35 indexed citations

11.

Yuan, Yongfeng, et al.. (2023). Multi-object tracking via deep feature fusion and association analysis. Engineering Applications of Artificial Intelligence. 124. 106527–106527. 5 indexed citations

12.

Liu, Chang, Yuanzhi Cheng, & Shinichi Tamura. (2023). Masked image modeling-based boundary reconstruction for 3D medical image segmentation. Computers in Biology and Medicine. 166. 107526–107526. 5 indexed citations

13.

Wang, Jinke, et al.. (2022). Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT. Journal of Digital Imaging. 35(6). 1479–1493. 15 indexed citations

14.

Li, Xue & Yuanzhi Cheng. (2021). Understanding the message passing in graph neural networks via power iteration clustering. Neural Networks. 140. 130–135. 19 indexed citations

15.

Li, Xue & Yuanzhi Cheng. (2020). Understanding the Message Passing in Graph Neural Networks via Power Iteration.. arXiv (Cornell University). 1 indexed citations

16.

Cheng, Yuanzhi, et al.. (2012). Accuracy Limits for the Thickness Measurement of the Hip Joint Cartilage in 3-D MR Images: Simulation and Validation. IEEE Transactions on Biomedical Engineering. 60(2). 517–533. 11 indexed citations

17.

Cheng, Yuanzhi, et al.. (2011). An analysis algorithm for accurate determination of articular cartilage thickness of hip joint from MR images. Journal of Magnetic Resonance Imaging. 34(1). 136–149. 5 indexed citations

18.

Cheng, Yuanzhi, et al.. (2009). Point to Point Registration Based on MRI sequences. 381–384. 2 indexed citations

19.

Cao, Yu, Jie Zhao, & Yuanzhi Cheng. (2009). Research on Three-dimensional Cartilage Thickness Measurement of Femoral Head in Magnetic Resonance Images. 265–268. 1 indexed citations

20.

Cheng, Yuanzhi, et al.. (2007). Hip cartilage thickness measurement accuracy improvement. Computerized Medical Imaging and Graphics. 31(8). 643–655. 12 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.

Explore authors with similar magnitude of impact