Bingjun Xiao

3.0k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

Bingjun Xiao is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Bingjun Xiao has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hardware and Architecture, 11 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Bingjun Xiao's work include Interconnection Networks and Systems (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (10 papers). Bingjun Xiao is often cited by papers focused on Interconnection Networks and Systems (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (10 papers). Bingjun Xiao collaborates with scholars based in United States and China. Bingjun Xiao's co-authors include Jason Cong, Peng Li, Guangyu Sun, Chen Zhang, Yijin Guan, Jason Cong, Yiyu Shi, Lei He, Muhuan Huang and Peng Zhang and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Bingjun Xiao

18 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

2015 1.5k citations Chen Zhang, Peng Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bingjun Xiao United States	12	1.2k	1.0k	505	497	269	18	1.9k
Ningyi Xu China	17	850 0.7×	1.1k 1.1×	590 1.2×	573 1.2×	609 2.3×	55	2.2k
Yijin Guan China	6	1.1k 0.9×	1.2k 1.2×	636 1.3×	402 0.8×	165 0.6×	12	1.8k
Rangharajan Venkatesan United States	21	1.8k 1.5×	1.0k 1.0×	682 1.4×	840 1.7×	540 2.0×	50	2.7k
Yinhe Han China	24	1.6k 1.3×	635 0.6×	392 0.8×	890 1.8×	829 3.1×	188	2.4k
Jing Pu United States	9	951 0.8×	1.1k 1.1×	709 1.4×	495 1.0×	277 1.0×	16	1.9k
Liqiang He China	6	802 0.7×	664 0.7×	463 0.9×	246 0.5×	158 0.6×	20	1.3k
Hyoukjun Kwon United States	16	829 0.7×	703 0.7×	414 0.8×	576 1.2×	339 1.3×	38	1.6k
Ardavan Pedram United States	14	750 0.6×	919 0.9×	636 1.3×	623 1.3×	418 1.6×	28	1.8k
Jincheng Yu China	16	991 0.8×	1.3k 1.3×	564 1.1×	223 0.4×	155 0.6×	42	2.0k
Xingyu Liu China	7	642 0.5×	1.3k 1.3×	672 1.3×	234 0.5×	155 0.6×	15	1.9k

Countries citing papers authored by Bingjun Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Bingjun Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingjun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Bingjun Xiao. A scholar is included among the top collaborators of Bingjun Xiao 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 Bingjun Xiao. Bingjun Xiao 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:

18 of 18 papers shown

1.

Xiao, Bingjun, Jinjun Xiong, & Yiyu Shi. (2016). Novel applications of deep learning hidden features for adaptive testing. 743–748. 7 indexed citations

2.

Zhang, Peng, Muhuan Huang, Bingjun Xiao, Hui Huang, & Jason Cong. (2015). CMOST. 1–6. 14 indexed citations

3.

Zhang, Chen, Peng Li, Guangyu Sun, et al.. (2015). Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks. 161–170. 1481 indexed citations breakdown →

4.

Chen, Yuting, Jason Cong, & Bingjun Xiao. (2015). ARACompiler: a prototyping flow and evaluation framework for accelerator-rich architectures. 157–158. 4 indexed citations

5.

Chen, Yuting, Jason Cong, Michael Gill, Glenn Reinman, & Bingjun Xiao. (2015). Customizable Computing. 10(3). 1–118. 2 indexed citations

6.

Cong, Jason, Peng Li, Bingjun Xiao, & Peng Zhang. (2015). An Optimal Microarchitecture for Stencil Computation Acceleration Based on Nonuniform Partitioning of Data Reuse Buffers. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35(3). 407–418. 13 indexed citations

7.

Cong, Jason, Peng Li, Bingjun Xiao, & Peng Zhang. (2014). An Optimal Microarchitecture for Stencil Computation Acceleration Based on Non-Uniform Partitioning of Data Reuse Buffers. 1–6. 31 indexed citations

8.

Cong, Jason, Peng Li, Bingjun Xiao, & Peng Zhang. (2014). An optimal microarchitecture for stencil computation acceleration based on non-uniform partitioning of data reuse buffers. 1–6. 7 indexed citations

9.

Cong, Jason, Hui Huang, Chiyuan Ma, Bingjun Xiao, & Peipei Zhou. (2014). A Fully Pipelined and Dynamically Composable Architecture of CGRA. 9–16. 30 indexed citations

10.

Chen, Yuting, Jason Cong, Mohammad Ali Ghodrat, et al.. (2013). Accelerator-rich CMPs: From concept to real hardware. 169–176. 28 indexed citations

11.

Cong, Jason, et al.. (2013). Optimizing routability in large-scale mixed-size placement. 441–446. 20 indexed citations

12.

Cong, Jason & Bingjun Xiao. (2013). Optimization of interconnects between accelerators and shared memories in dark silicon. 630–637. 12 indexed citations

13.

Cong, Jason & Bingjun Xiao. (2013). Defect tolerance in nanodevice-based programmable interconnects. 153. 1–8. 3 indexed citations

14.

Cong, Jason & Bingjun Xiao. (2013). FPGA-RPI: A Novel FPGA Architecture With RRAM-Based Programmable Interconnects. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22(4). 864–877. 78 indexed citations

15.

Cong, Jason, M.D. Ercegovac, Muhuan Huang, Sen Li, & Bingjun Xiao. (2013). Energy-efficient computing using adaptive table lookup based on nonvolatile memories. 280–285. 15 indexed citations

16.

Cong, Jason & Bingjun Xiao. (2011). mrFPGA: A novel FPGA architecture with memristor-based reconfiguration. 1–8. 106 indexed citations

17.

Cong, Jason, et al.. (2011). Domain-specific processor with 3D integration for medical image processing. 247–250. 8 indexed citations

18.

Xiao, Bingjun, Yiyu Shi, & Lei He. (2010). A universal state-of-charge algorithm for batteries. 687–692. 42 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.

Explore authors with similar magnitude of impact