Runbin Shi

814 total citations
20 papers, 328 citations indexed

About

Runbin Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Runbin Shi has authored 20 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Runbin Shi's work include Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (5 papers) and Advanced Memory and Neural Computing (5 papers). Runbin Shi is often cited by papers focused on Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (5 papers) and Advanced Memory and Neural Computing (5 papers). Runbin Shi collaborates with scholars based in China, Hong Kong and United States. Runbin Shi's co-authors include Hayden Kwok‐Hay So, Yanzhi Wang, Li Zuo, Qing Zhou, Wei Wei, Qiang Wu, Mengshu Sun, Xue Lin, Xuehai Qian and Yanyu Li and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Mobile Computing and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

Runbin Shi

20 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Runbin Shi China	8	131	116	99	90	50	20	328
Yi-Ran Sun China	11	56 0.4×	18 0.2×	111 1.1×	24 0.3×	9 0.2×	38	382
J.C. McEachen United States	9	127 1.0×	50 0.4×	77 0.8×	5 0.1×	33 0.7×	40	329
Sherif Khattab Egypt	15	33 0.3×	139 1.2×	46 0.5×	28 0.3×	12 0.2×	57	638
Steven Bell United States	4	71 0.5×	21 0.2×	91 0.9×	8 0.1×	17 0.3×	7	243
Chirag Agarwal United States	11	68 0.5×	118 1.0×	13 0.1×	9 0.1×	14 0.3×	45	424
Yuzhou Hu China	9	65 0.5×	199 1.7×	71 0.7×	9 0.1×	7 0.1×	21	418
Bo Ni China	10	46 0.4×	34 0.3×	12 0.1×	13 0.1×	4 0.1×	29	245
Nitin Singhal South Korea	10	192 1.5×	93 0.8×	24 0.2×	2 0.0×	8 0.2×	29	365
A. Giovanardi Italy	9	20 0.2×	21 0.2×	109 1.1×	17 0.2×	163 3.3×	33	573

Countries citing papers authored by Runbin Shi

Since Specialization

Citations

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

Fields of papers citing papers by Runbin Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runbin Shi

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

Li, Shigang, Johannes de Fine Licht, Zhenhao He, et al.. (2023). Co-design Hardware and Algorithm for Vector Search. 1–15. 9 indexed citations

Shi, Runbin, Kaan Kara, Christoph Hagleitner, et al.. (2022). Exploiting HBM on FPGAs for Data Processing. ACM Transactions on Reconfigurable Technology and Systems. 15(4). 1–27. 7 indexed citations

Jian, Tong, Yifan Gong, Zheng Zhan, et al.. (2021). Radio Frequency Fingerprinting on the Edge. IEEE Transactions on Mobile Computing. 21(11). 4078–4093. 42 indexed citations

Li, He, et al.. (2021). Adversarial Hardware With Functional and Topological Camouflage. IEEE Transactions on Circuits & Systems II Express Briefs. 68(5). 1685–1689. 7 indexed citations

Li, Yanyu, Mengshu Sun, Runbin Shi, et al.. (2021). Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. 208–220. 67 indexed citations

Liu, Junjie, Zhe Xu, Runbin Shi, Ray C. C. Cheung, & Hayden Kwok‐Hay So. (2020). Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. arXiv (Cornell University). 12 indexed citations

Shi, Runbin, et al.. (2020). FTDL: An FPGA-tailored Architecture for Deep Learning Systems. 320–320. 3 indexed citations

Shi, Runbin, Xuechao Wei, He Li, et al.. (2020). FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. 1–6. 8 indexed citations

Geng, Tong, Ang Li, Tianqi Wang, et al.. (2020). O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. IEEE Transactions on Parallel and Distributed Systems. 32(1). 199–213. 33 indexed citations

10.

Shi, Runbin, Justin S. J. Wong, Edmund Y. Lam, Kevin K. Tsia, & Hayden Kwok‐Hay So. (2019). A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy. IEEE Transactions on Biomedical Circuits and Systems. 13(4). 781–792. 3 indexed citations

11.

Shi, Runbin, Junjie Liu, Hayden Kwok‐Hay So, Shuo Wang, & Yun Liang. (2019). E-LSTM. 1–6. 10 indexed citations

12.

Shi, Runbin, Justin S. J. Wong, & Hayden Kwok‐Hay So. (2019). High-Throughput Line Buffer Microarchitecture for Arbitrary Sized Streaming Image Processing. Journal of Imaging. 5(3). 34–34. 3 indexed citations

13.

Shi, Runbin, et al.. (2018). Effect of magnetic components on the smoothness of linear motion for a pedrailed wall-climbing robot. IOP Conference Series Materials Science and Engineering. 382. 52049–52049. 2 indexed citations

14.

Shi, Runbin. (2017). Image Super-resolution for Ultrafast Optical Time-stretch Imaging. 4 indexed citations

15.

Wong, Justin S. J., Runbin Shi, Maolin Wang, & Hayden Kwok‐Hay So. (2017). Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 56–63. 4 indexed citations

16.

Peemen, Maurice, et al.. (2016). The Neuro Vector Engine: Flexibility to Improve Convolutional Net Efficiency for Wearable Vision. 1604–1609. 7 indexed citations

17.

Xu, Zheng, et al.. (2016). A Heterogeneous System for Real-Time Detection with AdaBoost. 839–843. 3 indexed citations

18.

Shi, Runbin, et al.. (2015). A Locality Aware Convolutional Neural Networks Accelerator. TU/e Research Portal. 86. 591–598. 6 indexed citations

19.

Zuo, Li, et al.. (2011). Expression and distribution of endocan in human tissues. Biotechnic & Histochemistry. 87(3). 172–178. 96 indexed citations

20.

Yang, Jingyi, et al.. (2002). Discovery of Diamond in North Qinling: Evidence for a Giant UHPM Belt across Central China and Recognition of Paleozoic and Mesozoic Dual Deep Subduction. AGU Fall Meeting Abstracts. 2002. 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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