Zhenyu Qi

1.2k total citations
62 papers, 901 citations indexed

About

Zhenyu Qi is a scholar working on Electrical and Electronic Engineering, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhenyu Qi has authored 62 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 11 papers in Radiation and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhenyu Qi's work include Low-power high-performance VLSI design (20 papers), VLSI and FPGA Design Techniques (12 papers) and Advanced Radiotherapy Techniques (11 papers). Zhenyu Qi is often cited by papers focused on Low-power high-performance VLSI design (20 papers), VLSI and FPGA Design Techniques (12 papers) and Advanced Radiotherapy Techniques (11 papers). Zhenyu Qi collaborates with scholars based in United States, China and Singapore. Zhenyu Qi's co-authors include Sheldon X.-D. Tan, Mircea R. Stan, Hang Li, Chuan Shao, Ying Sun, Jun Ma, Pu Liu, Stuart N. Wooters, Travis N. Blalock and Zhong Wang and has published in prestigious journals such as Nature Communications, IEEE Access and Medicine.

In The Last Decade

Zhenyu Qi

58 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenyu Qi United States	17	421	173	130	127	123	62	901
Yipeng Huang United States	15	149 0.4×	194 1.1×	4 0.0×	111 0.9×	42 0.3×	40	634
Jianchao Wang China	19	166 0.4×	188 1.1×	5 0.0×	17 0.1×	80 0.7×	95	1.0k
Jiayin Zhou China	20	115 0.3×	301 1.7×	99 0.8×	16 0.1×	3 0.0×	91	1.3k
Yulong Yan United States	19	137 0.3×	547 3.2×	38 0.3×	644 5.1×	6 0.0×	88	1.1k
Sen Bai China	22	65 0.2×	619 3.6×	79 0.6×	778 6.1×		142	1.7k
Chih-Chun Wang United States	24	1.0k 2.5×	25 0.1×	73 0.6×	4 0.0×	6 0.0×	157	1.9k
Yu Ji China	19	387 0.9×	411 2.4×	3 0.0×	3 0.0×	66 0.5×	41	1.0k
Jun Tan United States	12	131 0.3×	231 1.3×	21 0.2×	308 2.4×	1 0.0×	50	601
Tsang Cheung Hong Kong	25	87 0.2×	777 4.5×	14 0.1×	1.6k 12.2×	18 0.1×	69	1.9k
Yiwen Xu United States	9	26 0.1×	467 2.7×	7 0.1×	26 0.2×	6 0.0×	22	803

Countries citing papers authored by Zhenyu Qi

Since Specialization

Citations

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

Fields of papers citing papers by Zhenyu Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Qi

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

All Works

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20 of 20 papers shown

Liu, Yimei, Jun Zhang, Y. Wang, et al.. (2024). Multi-Sequence Fusion Network via Single- Sequence CycleGANs for Improved Synthetic CT in Nasopharyngeal Carcinoma Treatment Planning. IEEE Access. 12. 71433–71441. 3 indexed citations

Chen, Jinfu, et al.. (2024). A Study of Code Clone on Open Source VR Software. 239–244.

Liu, Yimei, et al.. (2024). Commissioning and clinical evaluation of a novel high‐resolution quality assurance digital detector array for SRS and SBRT. Journal of Applied Clinical Medical Physics. 25(4). e14258–e14258. 3 indexed citations

Li, Yan, et al.. (2023). CT synthesis from MRI with an improved multi-scale learning network. Frontiers in Physics. 11. 9 indexed citations

Li, Yan, Haibin Chen, Ying Sun, et al.. (2023). CT synthesis from multi-sequence MRI using adaptive fusion network. Computers in Biology and Medicine. 157. 106738–106738. 7 indexed citations

Peng, Yinglin, Yimei Liu, Zijie Chen, et al.. (2022). Improved accuracy of auto-segmentation of organs at risk in radiotherapy planning for nasopharyngeal carcinoma based on fully convolutional neural network deep learning. Oral Oncology. 136. 106261–106261. 10 indexed citations

Hu, Jiang, Bo-Ji Liu, Weihao Xie, et al.. (2021). Quantitative Comparison of Knowledge-Based and Manual Intensity Modulated Radiation Therapy Planning for Nasopharyngeal Carcinoma. Frontiers in Oncology. 10. 551763–551763. 8 indexed citations

Wang, Mingli, et al.. (2021). Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer. Radiation Oncology. 16(1). 58–58. 6 indexed citations

Chen, Haibin, Li Lin, Zhenyu Qi, et al.. (2020). Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy. IEEE Access. 8. 179018–179027. 4 indexed citations

10.

Lv, Jia‐Wei, Yu‐Pei Chen, Guan‐Qun Zhou, et al.. (2019). Liquid biopsy tracking during sequential chemo-radiotherapy identifies distinct prognostic phenotypes in nasopharyngeal carcinoma. Nature Communications. 10(1). 3941–3941. 111 indexed citations

11.

Qi, Zhenyu, et al.. (2018). Risk Assessment of Secondary Primary Malignancies in Nasopharyngeal Carcinoma: A Big-Data Intelligence Platform-Based Analysis of 6,377 Long-term Survivors from an Endemic Area Treated with Intensity-Modulated Radiation Therapy during 2003-2013. Cancer Research and Treatment. 51(3). 982–991. 13 indexed citations

12.

Hu, Jiang, Guan‐Qun Zhou, Lei Chen, et al.. (2017). Proposal of a Pretreatment Nomogram for Predicting Local Recurrence after Intensity-Modulated Radiation Therapy in T4 Nasopharyngeal Carcinoma: A Retrospective Review of 415 Chinese Patients. Cancer Research and Treatment. 50(4). 1084–1095. 17 indexed citations

13.

Shao, Chuan, et al.. (2016). Smoking and Glioma Risk. Medicine. 95(2). e2447–e2447. 17 indexed citations

14.

Qi, Zhenyu, et al.. (2015). The role of Gliadel wafers in the treatment of newly diagnosed GBM: a meta-analysis. Drug Design Development and Therapy. 9. 3341–3341. 62 indexed citations

15.

Tao, Changjuan, Junlin Yi, Jason Chia‐Hsien Cheng, et al.. (2015). Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study. Radiotherapy and Oncology. 115(3). 407–411. 74 indexed citations

16.

Wooters, Stuart N., Zhenyu Qi, Junling Wang, et al.. (2011). Tracking On-Chip Age Using Distributed, Embedded Sensors. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 20(11). 1974–1985. 7 indexed citations

17.

Qi, Zhenyu, et al.. (2009). Small embeddable NBTI sensors (SENS) for tracking on-chip performance decay. 1–6. 47 indexed citations

18.

Liu, Pu, Sheldon X.-D. Tan, Hang Li, et al.. (2005). An efficient method for terminal reduction of interconnect circuits considering delay variations. International Conference on Computer Aided Design. 821–826. 26 indexed citations

19.

Qi, Zhenyu, et al.. (2005). Efficient Analog Circuit Modeling By Boolean Logic Operations. 19. 76–81. 2 indexed citations

20.

Tan, Sheldon X.-D., Zhenyu Qi, & Hang Li. (2004). Hierarchical modeling and simulation of large analog circuits. Design, Automation, and Test in Europe. 1. 10740. 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.

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