Dongkai Zhang

936 total citations · 1 hit paper
32 papers, 695 citations indexed

About

Dongkai Zhang is a scholar working on Mechanical Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Dongkai Zhang has authored 32 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 10 papers in Atomic and Molecular Physics, and Optics and 9 papers in Artificial Intelligence. Recurrent topics in Dongkai Zhang's work include Railway Engineering and Dynamics (10 papers), Orbital Angular Momentum in Optics (9 papers) and Electrical Contact Performance and Analysis (8 papers). Dongkai Zhang is often cited by papers focused on Railway Engineering and Dynamics (10 papers), Orbital Angular Momentum in Optics (9 papers) and Electrical Contact Performance and Analysis (8 papers). Dongkai Zhang collaborates with scholars based in China, United Kingdom and United States. Dongkai Zhang's co-authors include Long Yu, Gaoqiang Kang, Shibin Gao, Shibin Gao, Lixiang Chen, Xiaodong Qiu, Wuhong Zhang, Xiaoguang Wei, Jian Wang and Lei Kou and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Optics Letters.

In The Last Decade

Dongkai Zhang

28 papers receiving 685 citations

Hit Papers

Deep Architecture for High-Speed Railway Insulator Surfac... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning
    2018 219 citations Gaoqiang Kang, Shibin Gao et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers

Dongkai Zhang
Xiren Miao China
Ning Chen China
Michael E. Mortenson
Jianchun Xing China
Wei‐Lung Mao Taiwan
Yanxi Yang China
Xinghui Dong China
Qin Yi China
Xiren Miao China
Dongkai Zhang
Citations per year, relative to Dongkai Zhang Dongkai Zhang (= 1×) peers Xiren Miao

Countries citing papers authored by Dongkai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dongkai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkai Zhang

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

All Works

20 of 20 papers shown
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Gao, Shibin, et al.. (2024). A Real-Time Siamese Network Based on Knowledge Distillation for Insulator Defect Detection of Overhead Contact Lines. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 2 indexed citations
4.
Zhang, Dongkai, Xiaodong Qiu, & Lixiang Chen. (2024). Geometric interpretation and experimental test of Leggett inequalities with nonmaximally entangled states. Optics Express. 32(6). 10648–10648. 2 indexed citations
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Zhang, Dongkai, et al.. (2024). Nontrivial evolution and geometric phase for an orbital angular momentum qutrit. Optics Express. 32(12). 21200–21200. 1 indexed citations
7.
Zhang, Dongkai, Xiaodong Qiu, & Lixiang Chen. (2024). Experimental test of the Collins-Gisin-Linden-Massar-Popescu inequality for multisetting and multidimensional orbital angular momentum systems. Physical review. A. 110(1). 1 indexed citations
8.
Wang, Jian, Shibin Gao, Long Yu, et al.. (2023). Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines. Reliability Engineering & System Safety. 242. 109734–109734. 10 indexed citations
9.
Wang, Jian, Shibin Gao, Long Yu, et al.. (2022). Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model. Reliability Engineering & System Safety. 231. 109016–109016. 27 indexed citations
10.
Zhang, Zhihe, Dongkai Zhang, Xiaodong Qiu, et al.. (2022). Experimental investigation of the uncertainty principle for radial degrees of freedom. Photonics Research. 10(9). 2223–2223. 3 indexed citations
11.
Ma, Tianlong, Dongkai Zhang, Xiaodong Qiu, Yuanyuan Chen, & Lixiang Chen. (2020). Radial diffraction of light in the radial momentum state space. Optics Letters. 45(18). 5152–5152. 3 indexed citations
12.
Zhang, Dongkai, et al.. (2020). DefGAN: Defect Detection GANs With Latent Space Pitting for High-Speed Railway Insulator. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 48 indexed citations
13.
Kang, Gaoqiang, et al.. (2019). Contact Wire Support Defect Detection Using Deep Bayesian Segmentation Neural Networks and Prior Geometric Knowledge. IEEE Access. 7. 173366–173376. 17 indexed citations
14.
Liu, Shiwang, Long Yu, & Dongkai Zhang. (2019). An Efficient Method for High-Speed Railway Dropper Fault Detection Based on Depthwise Separable Convolution. IEEE Access. 7. 135678–135688. 23 indexed citations
15.
Chen, Lixiang, et al.. (2019). 動径位置と動径運動量変数を用いたEinstein-Podolsky-Rosenパラドックスの実現【JST・京大機械翻訳】. Physical Review Letters. 123(6). 60403. 2 indexed citations
16.
Chen, Lixiang, Tianlong Ma, Xiaodong Qiu, et al.. (2019). Realization of the Einstein-Podolsky-Rosen Paradox Using Radial Position and Radial Momentum Variables. Physical Review Letters. 123(6). 60403–60403. 34 indexed citations
17.
Qiu, Xiaodong, Dongkai Zhang, Wuhong Zhang, & Lixiang Chen. (2019). Structured-Pump-Enabled Quantum Pattern Recognition. Physical Review Letters. 122(12). 123901–123901. 31 indexed citations
18.
Zhang, Wuhong, Dongkai Zhang, Xiaodong Qiu, & Lixiang Chen. (2019). Quantum remote sensing of the angular rotation of structured objects. Physical review. A. 100(4). 21 indexed citations
19.
Kang, Gaoqiang, Shibin Gao, Long Yu, & Dongkai Zhang. (2018). Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning. IEEE Transactions on Instrumentation and Measurement. 68(8). 2679–2690. 219 indexed citations breakdown →
20.
Zhang, Dongkai, Xiaodong Qiu, Wuhong Zhang, & Lixiang Chen. (2018). Violation of a Bell inequality in two-dimensional state spaces for radial quantum number. Physical review. A. 98(4). 14 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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