Siwei Dong

605 total citations
16 papers, 385 citations indexed

About

Siwei Dong is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Siwei Dong has authored 16 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Siwei Dong's work include CCD and CMOS Imaging Sensors (6 papers), Advanced Memory and Neural Computing (6 papers) and Video Coding and Compression Technologies (6 papers). Siwei Dong is often cited by papers focused on CCD and CMOS Imaging Sensors (6 papers), Advanced Memory and Neural Computing (6 papers) and Video Coding and Compression Technologies (6 papers). Siwei Dong collaborates with scholars based in China. Siwei Dong's co-authors include Yonghong Tian, Tiejun Huang, Lin Zhu, Jianing Li, Zhaofei Yu, Xianguo Zhang, Wen Gao, Guangyao Chen, Li Ma and Peixi Peng and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Internet of Things Journal.

In The Last Decade

Siwei Dong

16 papers receiving 361 citations

Peers

Siwei Dong
Yuanming Suo United States
Siwei Dong
Citations per year, relative to Siwei Dong Siwei Dong (= 1×) peers Yuanming Suo

Countries citing papers authored by Siwei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Siwei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siwei Dong

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

All Works

16 of 16 papers shown
1.
Ma, Li, Peixi Peng, Guangyao Chen, et al.. (2022). Picking Up Quantization Steps for Compressed Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1884–1898. 1 indexed citations
2.
Li, Jianing, et al.. (2021). Asynchronous Spatiotemporal Spike Metric for Event Cameras. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1742–1753. 10 indexed citations
3.
Zhu, Lin, Siwei Dong, Tiejun Huang, & Yonghong Tian. (2020). Hybrid Coding of Spatiotemporal Spike Data for a Bio-Inspired Camera. IEEE Transactions on Circuits and Systems for Video Technology. 31(7). 2837–2851. 19 indexed citations
4.
Zhu, Lin, Siwei Dong, Jianing Li, Tiejun Huang, & Yonghong Tian. (2020). Retina-Like Visual Image Reconstruction via Spiking Neural Model. 1435–1443. 60 indexed citations
5.
Li, Jianing, Siwei Dong, Zhaofei Yu, Yonghong Tian, & Tiejun Huang. (2019). Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving. 1396–1401. 50 indexed citations
6.
Dong, Siwei, et al.. (2019). Introduction to AVS2 Scene Video Coding Techniques. ZTE communications. 14(1). 50–53. 1 indexed citations
7.
Dong, Siwei, et al.. (2019). Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor. 572–572. 5 indexed citations
8.
Zhu, Lin, Siwei Dong, Tiejun Huang, & Yonghong Tian. (2019). A Retina-Inspired Sampling Method for Visual Texture Reconstruction. 1432–1437. 59 indexed citations
9.
Dong, Siwei, et al.. (2019). Spike Coding for Dynamic Vision Sensor in Intelligent Driving. IEEE Internet of Things Journal. 6(1). 60–71. 32 indexed citations
10.
Tian, Yonghong, et al.. (2018). PA-Search: Predicting units adaptive motion search for surveillance video coding. Computer Vision and Image Understanding. 170. 14–27. 3 indexed citations
11.
Dong, Siwei, et al.. (2018). Spike Coding for Dynamic Vision Sensors. 117–126. 35 indexed citations
12.
Wang, Yaowei, et al.. (2017). A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC. 157–162. 2 indexed citations
13.
Dong, Siwei, Tiejun Huang, & Yonghong Tian. (2017). Spike Camera and Its Coding Methods. 437–437. 50 indexed citations
14.
Dong, Siwei, Yonghong Tian, & Tiejun Huang. (2015). Performance Evaluation for AVS2 Scene Video Coding Techniques. 411–414. 1 indexed citations
15.
Zhang, Xianguo, Yonghong Tian, Tiejun Huang, Siwei Dong, & Wen Gao. (2014). Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling. IEEE Transactions on Image Processing. 23(10). 4511–4526. 52 indexed citations
16.
Huang, Tiejun, Siwei Dong, & Yonghong Tian. (2014). Representing Visual Objects in HEVC Coding Loop. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 4(1). 5–16. 5 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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