C. Y. Hu

3.2k total citations
52 papers, 1.9k citations indexed

About

C. Y. Hu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, C. Y. Hu has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 16 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in C. Y. Hu's work include Semiconductor Quantum Structures and Devices (20 papers), Quantum and electron transport phenomena (17 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). C. Y. Hu is often cited by papers focused on Semiconductor Quantum Structures and Devices (20 papers), Quantum and electron transport phenomena (17 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). C. Y. Hu collaborates with scholars based in China, United Kingdom and Japan. C. Y. Hu's co-authors include John Rarity, William J. Munro, Jeremy L. O’Brien, J. G. Rarity, A. B. Young, Jie Tian, Di Dong, Mengjie Fang, W. J. Munro and Yali Zang and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

C. Y. Hu

48 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Y. Hu China	22	1.1k	977	446	393	292	52	1.9k
Jitendra Nath Roy India	32	564 0.5×	365 0.4×	173 0.4×	1.9k 4.9×	965 3.3×	161	3.4k
D. Reitz Germany	20	911 0.8×	422 0.4×	165 0.4×	221 0.6×	209 0.7×	50	1.6k
Nicolas Laurent France	17	243 0.2×	64 0.1×	132 0.3×	326 0.8×	125 0.4×	62	820
Andrea Barucci Italy	16	226 0.2×	108 0.1×	334 0.7×	297 0.8×	100 0.3×	73	934
M Vićić United States	18	125 0.1×	40 0.0×	711 1.6×	135 0.3×	697 2.4×	48	1.4k
Zhi Chen China	21	118 0.1×	71 0.1×	597 1.3×	125 0.3×	249 0.9×	81	1.3k
Thomas Barthel Germany	30	1.8k 1.6×	538 0.6×	50 0.1×	81 0.2×	98 0.3×	110	3.2k
Aldana Rosso Sweden	16	148 0.1×	483 0.5×	440 1.0×	37 0.1×	449 1.5×	52	1.1k
M. Pesola Finland	20	221 0.2×	33 0.0×	413 0.9×	424 1.1×	272 0.9×	32	1.1k
Egbert Buhr Germany	17	158 0.1×	53 0.1×	267 0.6×	130 0.3×	292 1.0×	60	1.1k

Countries citing papers authored by C. Y. Hu

Since Specialization

Citations

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

Fields of papers citing papers by C. Y. Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Y. Hu. 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 C. Y. Hu. The network helps show where C. Y. Hu may publish in the future.

Co-authorship network of co-authors of C. Y. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of C. Y. Hu. A scholar is included among the top collaborators of C. Y. Hu 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 C. Y. Hu. C. Y. Hu 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

Hu, C. Y., et al.. (2025). Recent progress in the patterning of perovskite films for photodetector applications. Light Science & Applications. 14(1). 355–355. 1 indexed citations

Huang, Xiaoying, Mengjie Fang, C. Y. Hu, et al.. (2024). The application of artificial intelligence in upper gastrointestinal cancers. SHILAP Revista de lepidopterología. 5(2). 113–131. 4 indexed citations

He, Bingxi, C. Y. Hu, Zaiyi Liu, et al.. (2024). ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. IEEE Journal of Biomedical and Health Informatics. 29(2). 1232–1242. 4 indexed citations

Hu, C. Y. & Wenhao Gui. (2023). Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data. Applied Sciences. 13(11). 6509–6509. 2 indexed citations

Wang, Siwen, Bo Liu, Bingxi He, et al.. (2023). A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks. 164. 455–463. 10 indexed citations

Zhang, Liwen, Lianzhen Zhong, Cong Li, et al.. (2022). Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. Neural Networks. 152. 394–406. 9 indexed citations

Hu, C. Y., et al.. (2022). A novel software framework for magnetic particle imaging reconstruction. International Journal of Imaging Systems and Technology. 32(4). 1119–1132. 23 indexed citations

Fang, Mengjie, Yangyang Kan, Di Dong, et al.. (2020). Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer. Frontiers in Oncology. 10. 563–563. 50 indexed citations

Liu, Yaou, Di Dong, Liwen Zhang, et al.. (2019). Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder. European Radiology. 29(9). 4670–4677. 25 indexed citations

10.

Xu, Min, Mengjie Fang, Jian Zou, et al.. (2019). Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions. European Journal of Radiology. 114. 38–44. 45 indexed citations

11.

Kan, Yangyang, Di Dong, Yuchen Zhang, et al.. (2018). Radiomic signature as a predictive factor for lymph node metastasis in early‐stage cervical cancer. Journal of Magnetic Resonance Imaging. 49(1). 304–310. 81 indexed citations

12.

Zhang, Liwen, Bojiang Chen, Xia Liu, et al.. (2017). Quantitative Biomarkers for Prediction of Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer. Translational Oncology. 11(1). 94–101. 99 indexed citations

13.

Hu, C. Y.. (2017). Photonic transistor and router using a single quantum-dot-confined spin in a single-sided optical microcavity. Scientific Reports. 7(1). 45582–45582. 40 indexed citations

14.

Schneider, C., Stefan A. Maier, M. Kamp, et al.. (2016). Charged quantum dot micropillar system for deterministic light-matter interactions. Physical review. B.. 93(24). 32 indexed citations

15.

Hu, C. Y.. (2016). Spin-based single-photon transistor, dynamic random access memory, diodes, and routers in semiconductors. Physical review. B.. 94(24). 33 indexed citations

16.

Young, A. B., Rupert F. Oulton, C. Y. Hu, et al.. (2011). Quantum-dot-induced phase shift in a pillar microcavity. Physical Review A. 84(1). 72 indexed citations

17.

Hu, C. Y., et al.. (2009). Proposed entanglement beam splitter using a quantum-dot spin in a double-sided optical microcavity. Physical Review B. 80(20). 165 indexed citations

18.

Hu, C. Y., A. B. Young, Jeremy L. O’Brien, & J. G. Rarity. (2007). Giant Faraday rotation induced by a single electron spin and applications to entangling remote spins via photons. arXiv (Cornell University). 1 indexed citations

19.

Hu, C. Y., et al.. (2005). Spin precession of holes in wurtzite GaN studied using the time-resolved Kerr rotation technique. Physical Review B. 72(12). 14 indexed citations

20.

Tan, Ping‐Heng, C. Y. Hu, Fenghua Li, et al.. (2002). Intensity and profile manifestation of resonant Raman behavior of carbon nanotubes. Carbon. 40(7). 1131–1134. 64 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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