Guobin Shen

4.7k total citations · 2 hit papers
121 papers, 3.5k citations indexed

About

Guobin Shen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Guobin Shen has authored 121 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 53 papers in Electrical and Electronic Engineering and 39 papers in Signal Processing. Recurrent topics in Guobin Shen's work include Video Coding and Compression Technologies (29 papers), Advanced Data Compression Techniques (24 papers) and Indoor and Outdoor Localization Technologies (23 papers). Guobin Shen is often cited by papers focused on Video Coding and Compression Technologies (29 papers), Advanced Data Compression Techniques (24 papers) and Indoor and Outdoor Localization Technologies (23 papers). Guobin Shen collaborates with scholars based in China, United States and Hong Kong. Guobin Shen's co-authors include Chunyi Peng, Yongguang Zhang, Mo Li, Feng Zhao, Pengfei Zhou, Chunshui Zhao, Kun Tan, Yanlin Li, Shipeng Li and Yuanqing Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Guobin Shen

117 papers receiving 3.4k citations

Hit Papers

BeepBeep 2007 2026 2013 2019 2007 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guobin Shen China 32 2.1k 946 853 751 731 121 3.5k
Feng Zhao China 23 1.5k 0.7× 760 0.8× 470 0.6× 651 0.9× 677 0.9× 111 2.8k
Jie Xiong United States 40 4.6k 2.1× 762 0.8× 1.6k 1.9× 1.1k 1.5× 1.5k 2.0× 179 6.0k
A. Hopper United Kingdom 19 1.7k 0.8× 1.1k 1.2× 403 0.5× 797 1.1× 1.6k 2.2× 54 3.7k
Chenren Xu China 27 1.6k 0.8× 462 0.5× 536 0.6× 271 0.4× 950 1.3× 115 2.8k
Kun Qian China 22 2.0k 0.9× 534 0.6× 727 0.9× 322 0.4× 793 1.1× 81 2.7k
Parth H. Pathak United States 21 2.1k 1.0× 532 0.6× 468 0.5× 170 0.2× 685 0.9× 74 3.2k
Stephan Sigg Finland 22 1.2k 0.6× 556 0.6× 446 0.5× 178 0.2× 598 0.8× 132 2.1k
Hongkai Wen United Kingdom 21 816 0.4× 748 0.8× 254 0.3× 280 0.4× 201 0.3× 67 1.8k
Robert J. Piechocki United Kingdom 27 1.7k 0.8× 681 0.7× 497 0.6× 89 0.1× 1.5k 2.0× 181 3.7k
Fabio Lavagetto Italy 25 714 0.3× 618 0.7× 362 0.4× 211 0.3× 530 0.7× 134 1.9k

Countries citing papers authored by Guobin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Guobin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guobin Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Guobin Shen. A scholar is included among the top collaborators of Guobin Shen 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 Guobin Shen. Guobin Shen 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.
Li, Jindong, Ruiqi Chen, Guobin Shen, et al.. (2025). Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. 1–9.
3.
Li, Jindong, et al.. (2024). FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture. IEEE Transactions on Circuits and Systems I Regular Papers. 72(8). 4007–4020. 3 indexed citations
4.
He, Xiang, Dongcheng Zhao, Yang Li, et al.. (2024). An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 512–520. 2 indexed citations
5.
Li, Jindong, Guobin Shen, Dongcheng Zhao, Qian Zhang, & Yi Zeng. (2024). FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(9). 2647–2660. 8 indexed citations
6.
Han, Bing, Feifei Zhao, Yi Zeng, & Guobin Shen. (2024). Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 240–251. 5 indexed citations
7.
Zhao, Dongcheng, et al.. (2024). Improving stability and performance of spiking neural networks through enhancing temporal consistency. Pattern Recognition. 159. 111094–111094. 2 indexed citations
8.
Li, Jindong, et al.. (2024). Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. 197–203. 3 indexed citations
9.
Li, Jindong, Guobin Shen, Dongcheng Zhao, Qian Zhang, & Yi Zeng. (2023). FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(8). 1178–1191. 31 indexed citations
10.
Yu, Xiao‐Jing, Xiang‐Yang Li, Jing Zhao, et al.. (2022). ANTIGONE: Accurate Navigation Path Caching in Dynamic Road Networks leveraging Route APIs. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1599–1608. 2 indexed citations
11.
Hu, Haifeng, et al.. (2020). Joint Stacked Hourglass Network and Salient Region Attention Refinement for Robust Face Alignment. ACM Transactions on Multimedia Computing Communications and Applications. 16(1). 1–18. 8 indexed citations
12.
Zheng, Yuanqing, Guobin Shen, Liqun Li, et al.. (2017). Travi-Navi: Self-Deployable Indoor Navigation System. IEEE/ACM Transactions on Networking. 25(5). 2655–2669. 73 indexed citations
13.
Yi, Shanhe, et al.. (2016). AMIL: Localizing neighboring mobile devices through a simple gesture. 1–9. 17 indexed citations
14.
Han, Hao, et al.. (2016). AMIL: Localizing neighboring mobile devices through a simple gesture. 1027–1028. 12 indexed citations
15.
Bian, Kaigui, et al.. (2015). Contextual-code: Simplifying information pulling from targeted sources in physical world. 2245–2253. 1 indexed citations
16.
Shen, Guobin, Zhuo Chen, Peichao Zhang, Thomas Moscibroda, & Yongguang Zhang. (2013). Walkie-Markie: indoor pathway mapping made easy. Networked Systems Design and Implementation. 85–98. 217 indexed citations
17.
Han, Hao, et al.. (2013). Design, Realization, and Evaluation of DozyAP for Power-Efficient Wi-Fi Tethering. IEEE/ACM Transactions on Networking. 22(5). 1672–1685. 6 indexed citations
18.
He, Yifeng, Guobin Shen, Yongqiang Xiong, & Ling Guan. (2008). Optimal Prefetching Scheme in P2P VoD Applications With Guided Seeks. IEEE Transactions on Multimedia. 11(1). 138–151. 27 indexed citations
19.
Shen, Guobin, Ye Wang, Yongqiang Xiong, Ben Y. Zhao, & Zhi-Li Zhang. (2007). HPTP: Relieving the Tension between ISPs and P2P.. 48 indexed citations
20.
Zheng, Changxi, Guobin Shen, Shipeng Li, & Scott Shenker. (2006). Distributed Segment Tree: Support of Range Query and Cover Query over DHT.. 67 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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