Ye Wu

34.2k total citations
107 papers, 1.0k citations indexed

About

Ye Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ye Wu has authored 107 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Cognitive Neuroscience and 15 papers in Molecular Biology. Recurrent topics in Ye Wu's work include Advanced Neuroimaging Techniques and Applications (44 papers), Advanced MRI Techniques and Applications (30 papers) and Functional Brain Connectivity Studies (20 papers). Ye Wu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (44 papers), Advanced MRI Techniques and Applications (30 papers) and Functional Brain Connectivity Studies (20 papers). Ye Wu collaborates with scholars based in China, United States and South Korea. Ye Wu's co-authors include Yogesh Rathi, Fan Zhang, Isaiah Norton, Lauren J. O’Donnell, Pew‐Thian Yap, Nikos Makris, Laura Rigolo, Dinggang Shen, Yuanjing Feng and Faming Pan and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and NeuroImage.

In The Last Decade

Ye Wu

96 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Wu China	18	405	196	193	148	108	107	1.0k
Ersan Odacı Türkiye	25	102 0.3×	98 0.5×	145 0.8×	318 2.1×	37 0.3×	64	1.5k
Katherine Hewitt United Kingdom	21	245 0.6×	184 0.9×	24 0.1×	34 0.2×	42 0.4×	38	1.1k
Sudha Murthy India	18	62 0.2×	204 1.0×	49 0.3×	35 0.2×	43 0.4×	121	1000
Suman Kushwaha India	19	59 0.1×	238 1.2×	69 0.4×	74 0.5×	16 0.1×	84	1.0k
Orhan Baş Türkiye	18	54 0.1×	105 0.5×	112 0.6×	174 1.2×	28 0.3×	57	1.2k
Sandra Olsson Sweden	21	231 0.6×	272 1.4×	36 0.2×	25 0.2×	65 0.6×	45	3.2k
Pengyun Wang China	19	106 0.3×	247 1.3×	277 1.4×	14 0.1×	78 0.7×	77	1.4k
Lu Qin China	18	149 0.4×	237 1.2×	108 0.6×	11 0.1×	36 0.3×	61	929
James W. Warren Canada	20	178 0.4×	101 0.5×	75 0.4×	39 0.3×	30 0.3×	49	1.3k

Countries citing papers authored by Ye Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ye Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Wu

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

Sun, Xin, Jiayi Lin, Shengxin Lu, et al.. (2025). Hypoxia-responsive oncolytic conjugate triggers type-II immunogenic cell death for enhanced photodynamic immunotherapy. Journal of Controlled Release. 382. 113717–113717.

Zhang, Huifeng, Lei Ding, Rubai Zhou, et al.. (2025). Differential patterns of axonal loss associated with threat-related adversity in atypical depression and non-atypical depression. NeuroImage Clinical. 46. 103786–103786. 1 indexed citations

Li, Guoshi, Li‐Ming Hsu, Ye Wu, et al.. (2025). Revealing excitation-inhibition imbalance in Alzheimer’s disease using multiscale neural model inversion of resting-state functional MRI. Communications Medicine. 5(1). 17–17. 6 indexed citations

Chu, Wenqing, et al.. (2025). COTA-motion: Controllable image-to-video synthesis with dense semantic trajectories. Neurocomputing. 657. 131671–131671.

Zeng, J. Y., et al.. (2025). Soma and neurite density imaging detects brain microstructural impairments in amyotrophic lateral sclerosis. European Journal of Radiology. 184. 111981–111981.

Wu, Ye, et al.. (2024). A multimodal submillimeter MRI atlas of the human cerebellum. Scientific Reports. 14(1). 5622–5622. 4 indexed citations

Zhang, Wei, Ye Wu, Li Yin, et al.. (2024). A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations. Scientific Data. 11(1). 787–787. 6 indexed citations

Zhou, Tao, et al.. (2024). Cross-contrast mutual fusion network for joint MRI reconstruction and super-resolution. Pattern Recognition. 154. 110599–110599. 6 indexed citations

Liao, Shengyou, Ming Yang, Dandan Li, et al.. (2023). Comprehensive bulk and single-cell transcriptome profiling give useful insights into the characteristics of osteoarthritis associated synovial macrophages. Frontiers in Immunology. 13. 1078414–1078414. 12 indexed citations

10.

Tian, Di, Yuan Zhou, Yu‐Ting Chen, et al.. (2023). Genetically predicted ankylosing spondylitis is causally associated with psoriasis. Frontiers in Immunology. 14. 1149206–1149206. 7 indexed citations

11.

Zhou, Tao, et al.. (2023). Cross-contrast Fusion and Aggregation Network for Multi-contrast MRI Super-resolution. 102–107. 1 indexed citations

12.

Zhao, Jing, Bin Jing, Jiaojiao Liu, et al.. (2023). Probing bundle-wise abnormalities in patients infected with human immunodeficiency virus using fixel-based analysis: new insights into neurocognitive impairments. Chinese Medical Journal. 136(18). 2178–2186. 3 indexed citations

13.

Li, Guoshi, Yujie Liu, Yanting Zheng, et al.. (2021). Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder. NeuroImage Clinical. 31. 102758–102758. 18 indexed citations

14.

Wang, Yong, Xuemei Cui, Wei Xu, et al.. (2020). Ginseng Stem-Leaf Saponins in Combination with Selenium Promote the Immune Response in Neonatal Mice with Maternal Antibody. Vaccines. 8(4). 755–755. 7 indexed citations

15.

Yue, Ling, Dan Hu, Han Zhang, et al.. (2020). Prediction of 7‐year's conversion from subjective cognitive decline to mild cognitive impairment. Human Brain Mapping. 42(1). 192–203. 32 indexed citations

16.

Zhang, Huifeng, Lena Palaniyappan, Yan Wu, et al.. (2020). The concurrent disturbance of dynamic functional and structural brain connectome in major depressive disorder: the prefronto-insular pathway. Journal of Affective Disorders. 274. 1084–1090. 14 indexed citations

17.

Wang, Jiulin, et al.. (2013). [Androgen deprivation therapy for prostate cancer: a follow-up study of the patients' survival time].. PubMed. 19(12). 1103–6. 1 indexed citations

18.

Wu, Haoyu, et al.. (2007). Effects of methionine-containing dipeptides onα<sub>s1</sub> casein expression in bovine mammary epithelialcells. Journal of Animal and Feed Sciences. 16(Suppl. 2). 325–329. 9 indexed citations

19.

Zhang, Xinyue, Ye Wu, Jinyuan Yan, et al.. (2006). Y55 and D78 are crucial amino acid residues of a new IgE epitope on trichosanthin. Biochemical and Biophysical Research Communications. 343(4). 1251–1256. 4 indexed citations

20.

Wang, Yihua, et al.. (2005). [Long term survival results in advanced prostate cancer treated with combined androgen blockade].. PubMed. 11(10). 770–1, 774. 5 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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