Zhen Dong

3.2k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Zhen Dong is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Zhen Dong has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 19 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Zhen Dong's work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Memory and Neural Computing (8 papers). Zhen Dong is often cited by papers focused on Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Memory and Neural Computing (8 papers). Zhen Dong collaborates with scholars based in China, United States and Hong Kong. Zhen Dong's co-authors include Mingtao Pei, Yunde Jia, Kurt Keutzer, Michael W. Mahoney, Zhewei Yao, Amir Gholami, Yuwei Wu, Yaohui Cai, Peng Huang and Jinfeng Kang and has published in prestigious journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Intelligent Transportation Systems and Remote Sensing.

In The Last Decade

Zhen Dong

41 papers receiving 1.2k citations

Hit Papers

Vehicle Type Classification Using a Semisupervised Convol... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Dong China 17 732 408 366 192 52 43 1.2k
V.M. Brea Spain 16 427 0.6× 132 0.3× 338 0.9× 88 0.5× 30 0.6× 102 930
Shanq-Jang Ruan Taiwan 19 823 1.1× 162 0.4× 239 0.7× 194 1.0× 13 0.3× 161 1.4k
Enrique Efrén García-Guerrero Mexico 19 507 0.7× 182 0.4× 110 0.3× 52 0.3× 21 0.4× 43 1.1k
Eva M. Ortigosa Spain 9 187 0.3× 148 0.4× 228 0.6× 71 0.4× 58 1.1× 25 649
Christos Kyrkou Cyprus 15 467 0.6× 190 0.5× 229 0.6× 98 0.5× 6 0.1× 53 851
Shahriar B. Shokouhi Iran 14 444 0.6× 425 1.0× 160 0.4× 93 0.5× 44 0.8× 87 1.0k
Dong Wu China 13 253 0.3× 157 0.4× 266 0.7× 44 0.2× 102 2.0× 49 764
Xuguang Zhang China 18 343 0.5× 215 0.5× 157 0.4× 39 0.2× 26 0.5× 70 795
Yiming Wu China 12 743 1.0× 574 1.4× 179 0.5× 51 0.3× 9 0.2× 27 1.2k
Ahmed Nabil Belbachir Austria 16 308 0.4× 81 0.2× 477 1.3× 64 0.3× 120 2.3× 72 788

Countries citing papers authored by Zhen Dong

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Dong. A scholar is included among the top collaborators of Zhen Dong 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 Zhen Dong. Zhen Dong 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
1.
Dong, Zhen, Zhen Lu, & Yang Yue. (2025). Fine-tuning a large language model for automating computational fluid dynamics simulations. Theoretical and Applied Mechanics Letters. 15(3). 100594–100594. 4 indexed citations
2.
Guo, Lishuang, Yu An, Charlie Ma, et al.. (2025). Exploring the diagnostic potential: magnetic particle imaging for brain diseases. Military Medical Research. 12(1). 18–18. 5 indexed citations
3.
Dong, Zhen, et al.. (2025). PFLO: a high-throughput pose estimation model for field maize based on YOLO architecture. Plant Methods. 21(1). 51–51. 1 indexed citations
4.
Zhang, Rongyu, Yulin Luo, Jiaming Liu, et al.. (2024). Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16812–16820. 8 indexed citations
5.
Ma, Chenbin, et al.. (2024). RETNet: Resolution enhancement Transformer network for magnetic particle imaging based on X-space. Computers in Biology and Medicine. 181. 109043–109043. 2 indexed citations
6.
Liu, Yijiang, et al.. (2024). PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. 7027–7037. 1 indexed citations
7.
Lv, Xin, et al.. (2024). Energy Management Considering both Efficiency Optimization and Lifetime Balance of Multi-stack FCS. Journal of Physics Conference Series. 2774(1). 12091–12091.
8.
Xing, Zhenping, Kuo Zhang, Xi Chen, et al.. (2023). First Real-time Demonstration of 200G TFDMA Coherent PON using Ultra-simple ONUs. 1–3. 3 indexed citations
9.
Dong, Zhen, et al.. (2022). Machine-Learning-Based Change Detection of Newly Constructed Areas from GF-2 Imagery in Nanjing, China. Remote Sensing. 14(12). 2874–2874. 5 indexed citations
10.
Yao, Zhewei, Zhen Dong, Amir Gholaminejad, et al.. (2021). HAWQ-V3: Dyadic Neural Network Quantization. International Conference on Machine Learning. 11875–11886. 30 indexed citations
11.
Cai, Yaohui, Zhewei Yao, Zhen Dong, et al.. (2020). ZeroQ: A Novel Zero Shot Quantization Framework. 13166–13175. 195 indexed citations
12.
Han, Runze, Peng Huang, Zhen Dong, et al.. (2019). A Novel Convolution Computing Paradigm Based on NOR Flash Array With High Computing Speed and Energy Efficiency. IEEE Transactions on Circuits and Systems I Regular Papers. 66(5). 1692–1703. 37 indexed citations
13.
Dong, Zhen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, & Kurt Keutzer. (2019). HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision. 293–302. 224 indexed citations
14.
Dong, Zhen, Zheng Zhou, Zefan Li, et al.. (2018). Convolutional Neural Networks Based on RRAM Devices for Image Recognition and Online Learning Tasks. IEEE Transactions on Electron Devices. 66(1). 793–801. 39 indexed citations
15.
Zhou, Zheng, Zhen Dong, Zhe Chen, et al.. (2017). The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO2-Based RRAM and Applications for Pattern Recognition. Nanoscale Research Letters. 12(1). 244–244. 18 indexed citations
16.
Dong, Zhen, et al.. (2016). High power 980 nm broad area distributed feedback laser with first-order gratings. Journal of Semiconductors. 37(2). 24010–24010. 2 indexed citations
17.
Dong, Zhen & Yunde Jia. (2013). Vehicle type classification using distributions of structural and appearance-based features. 4321–4324. 16 indexed citations
18.
Sun, Liqun, Lei Guo, Jun Zhang, et al.. (2011). High efficiency passive mode-locked Nd:YVO4 laser based on SESAM under direct pumping at 880 nm. Laser Physics. 21(10). 1765–1768. 6 indexed citations
19.
Dong, Zhen, et al.. (2010). Size Estimation of Space Object Based on Narrowband Radar. Chinese Journal of Space Science. 30(3). 250–250. 1 indexed citations
20.
Li, Xue, et al.. (2003). Real time web vehicle classifier. Acquire (CQUniversity). 1. 428–434. 2 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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