Yuzhen Ding

553 total citations
21 papers, 384 citations indexed

About

Yuzhen Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuzhen Ding has authored 21 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuzhen Ding's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Beetle Biology and Toxicology Studies (3 papers) and Medical Imaging Techniques and Applications (3 papers). Yuzhen Ding is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Beetle Biology and Toxicology Studies (3 papers) and Medical Imaging Techniques and Applications (3 papers). Yuzhen Ding collaborates with scholars based in China, United States and Greece. Yuzhen Ding's co-authors include Liang Xiao, Yuliang Tang, Donghua Jiang, Dongming Wang, H. Vincent Poor, Jie Li, Huaiyu Dai, Jason Holmes, Sicong Liu and Zhengliang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Yuzhen Ding

18 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuzhen Ding China	10	131	112	98	90	68	21	384
Tarek M. Hassan Egypt	9	51 0.4×	92 0.8×	50 0.5×	87 1.0×	73 1.1×	29	360
Ramesh Sekaran India	10	198 1.5×	67 0.6×	79 0.8×	105 1.2×	29 0.4×	24	329
Varalakshmi Perumal India	9	75 0.6×	111 1.0×	60 0.6×	32 0.4×	125 1.8×	35	325
Jawad Tanveer South Korea	12	206 1.6×	152 1.4×	50 0.5×	118 1.3×	22 0.3×	34	476
Eid Rehman Pakistan	6	116 0.9×	106 0.9×	55 0.6×	36 0.4×	71 1.0×	17	386
Ashwin Agrawal United States	9	88 0.7×	66 0.6×	13 0.1×	109 1.2×	57 0.8×	17	408
Faisal Abdulaziz Alfouzan United Kingdom	12	224 1.7×	81 0.7×	32 0.3×	160 1.8×	81 1.2×	19	452
Ogobuchi Daniel Okey Brazil	9	148 1.1×	143 1.3×	40 0.4×	22 0.2×	20 0.3×	23	290
Bernardo Camajori Tedeschini Italy	9	45 0.3×	101 0.9×	17 0.2×	102 1.1×	18 0.3×	20	260

Countries citing papers authored by Yuzhen Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yuzhen Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhen Ding

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

Yan, Zijun, et al.. (2024). Nanoemulsion based lipid nanoparticles for effective demethylcantharidin delivery to cure liver cancer. Chemical Biology & Drug Design. 104(1). e14580–e14580. 2 indexed citations

Holmes, Jason, Lian Zhang, Yuzhen Ding, et al.. (2024). Benchmarking a Foundation Large Language Model on its Ability to Relabel Structure Names in Accordance With the American Association of Physicists in Medicine Task Group-263 Report. Practical Radiation Oncology. 14(6). e515–e521. 6 indexed citations

Shan, Jie, Carlos Vargas, Sameer R. Keole, et al.. (2024). Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy. International Journal of Radiation Oncology*Biology*Physics. 121(3). 822–831. 3 indexed citations

Liu, Jinchun, Yuzhen Ding, Hongli Zhao, et al.. (2024). Predicting Bloodstream Infection in High-risk Groups of Liver Failure Patients with Artificial Liver Support System.. PubMed.

Ding, Yuzhen, Jason Holmes, Hao Feng, et al.. (2024). Patient-specific 3D CT Images Reconstruction from 2D KV Images. International Journal of Radiation Oncology*Biology*Physics. 118(5). e68–e69.

Holmes, Jason, Zhengliang Liu, Lian Zhang, et al.. (2023). Evaluating large language models on a highly-specialized topic, radiation oncology physics. Frontiers in Oncology. 13. 1219326–1219326. 89 indexed citations

Liu, Chenbin, Zhengliang Liu, Jason Holmes, et al.. (2023). Artificial general intelligence for radiation oncology. SHILAP Revista de lepidopterología. 1(3). 100045–100045. 17 indexed citations

Ding, Yuzhen, Jason Holmes, Zhengliang Liu, et al.. (2023). Deep‐learning based fast and accurate 3D CT deformable image registration in lung cancer. Medical Physics. 50(11). 6864–6880. 10 indexed citations

Li, Dan, et al.. (2023). Specialized cis -Acting RNA Elements Balance Genome Cyclization to Ensure Efficient Replication of Yellow Fever Virus. Journal of Virology. 97(4). e0194922–e0194922. 4 indexed citations

10.

Ding, Yuzhen, et al.. (2022). Norcantharidin Nanostructured Lipid Carrier (NCTD-NLC) Suppresses the Viability of Human Hepatocellular Carcinoma HepG2 Cells and Accelerates the Apoptosis. Journal of Immunology Research. 2022. 1–10. 14 indexed citations

11.

Xiao, Liang, et al.. (2021). UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach. IEEE Transactions on Communications. 69(9). 5933–5947. 63 indexed citations

12.

Xiao, Liang, et al.. (2021). Learning-Based Low-Latency VIoT Video Streaming Against Jamming and Interference. IEEE Wireless Communications. 28(4). 12–18. 9 indexed citations

13.

Yang, Xiaofeng, et al.. (2021). WASF2 Serves as a Potential Biomarker and Therapeutic Target in Ovarian Cancer: A Pan-Cancer Analysis. SSRN Electronic Journal. 2 indexed citations

14.

Xiao, Liang, Yuzhen Ding, Donghua Jiang, et al.. (2020). A Reinforcement Learning and Blockchain-Based Trust Mechanism for Edge Networks. IEEE Transactions on Communications. 68(9). 5460–5470. 92 indexed citations

15.

Ding, Yuzhen, et al.. (2020). Reinforcement Learning Based Energy Efficient Underwater Localization. 927–932. 9 indexed citations

16.

Xiao, Liang, et al.. (2020). Reinforcement learning based energy-efficient internet-of-things video transmission. SHILAP Revista de lepidopterología. 1(3). 258–270. 18 indexed citations

17.

Ding, Yuzhen, Donghua Jiang, Liang Xiao, et al.. (2019). QoE-Aware Power Control for UAV-Aided Media Transmission with Reinforcement Learning. 4. 1–6. 3 indexed citations

18.

Dai, Canhuang, et al.. (2018). Learning Based Security for VANET with Blockchain. 210–215. 33 indexed citations

19.

He, Yuxian, et al.. (2014). Underwater image edge detection based on K-means algorithm. 50. 1–4. 7 indexed citations

20.

Ding, Yuzhen. (2010). The Design and Implementation of a TDOA-Based Ultrasonic Indoor Localizing System. Chuangan jishu xuebao. 3 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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