Junbin Wang

647 total citations · 1 hit paper
8 papers, 487 citations indexed

About

Junbin Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Junbin Wang has authored 8 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Junbin Wang's work include Advanced Neural Network Applications (4 papers), Online Learning and Analytics (2 papers) and Video Surveillance and Tracking Methods (2 papers). Junbin Wang is often cited by papers focused on Advanced Neural Network Applications (4 papers), Online Learning and Analytics (2 papers) and Video Surveillance and Tracking Methods (2 papers). Junbin Wang collaborates with scholars based in China and United States. Junbin Wang's co-authors include Lingzhi Sui, Kaiyuan Guo, Jincheng Yu, Song Yao, Song Han, Yu Wang, Jiantao Qiu, Huazhong Yang, Liang Bai and Jiye Liang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Micro.

In The Last Decade

Junbin Wang

8 papers receiving 479 citations

Hit Papers

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Em... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbin Wang China 6 329 277 153 53 30 8 487
Geng Yuan United States 14 301 0.9× 249 0.9× 199 1.3× 36 0.7× 32 1.1× 59 608
Shuanglong Liu United Kingdom 14 250 0.8× 200 0.7× 199 1.3× 57 1.1× 46 1.5× 34 486
Hongxiang Fan United Kingdom 16 284 0.9× 211 0.8× 228 1.5× 70 1.3× 35 1.2× 43 541
Ayşegül Dündar United States 11 384 1.2× 227 0.8× 137 0.9× 56 1.1× 23 0.8× 24 519
Xitian Fan China 9 238 0.7× 208 0.8× 90 0.6× 70 1.3× 31 1.0× 13 375
Zhiqiang Que United Kingdom 15 238 0.7× 143 0.5× 206 1.3× 71 1.3× 29 1.0× 57 504
Lingzhi Sui China 7 493 1.5× 445 1.6× 208 1.4× 111 2.1× 44 1.5× 11 712
Zhengang Li United States 13 238 0.7× 225 0.8× 181 1.2× 55 1.0× 39 1.3× 41 512
Qingcheng Xiao China 9 389 1.2× 306 1.1× 149 1.0× 150 2.8× 50 1.7× 11 567
Tuan Nghia Nguyen South Korea 3 230 0.7× 193 0.7× 77 0.5× 28 0.5× 16 0.5× 10 360

Countries citing papers authored by Junbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbin Wang

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

All Works

8 of 8 papers shown
1.
Wang, Junbin, et al.. (2021). High-Performance Mixed-Low-Precision CNN Inference Accelerator on FPGA. IEEE Micro. 41(4). 31–38. 9 indexed citations
2.
Lv, Pin, Xiaoxin Wang, Jia Xu, & Junbin Wang. (2021). Intelligent personalised exercise recommendation: A weighted knowledge graph‐based approach. Computer Applications in Engineering Education. 29(5). 1403–1419. 12 indexed citations
3.
Bai, Liang, et al.. (2020). New label propagation algorithm with pairwise constraints. Pattern Recognition. 106. 107411–107411. 19 indexed citations
4.
Xu, Jia, Junbin Wang, Xiaoxin Wang, & Pin Lv. (2019). iTest: A novel online testing system based on the WeChat platform. Computer Applications in Engineering Education. 27(4). 885–893. 3 indexed citations
5.
Tian, Lu, Junbin Wang, Shuang Liang, et al.. (2018). Real-Time Object Detection and Semantic Segmentation Hardware System with Deep Learning Networks. 19 indexed citations
6.
Guo, Kaiyuan, Lingzhi Sui, Jiantao Qiu, et al.. (2017). Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(1). 35–47. 416 indexed citations breakdown →
7.
Wang, Junbin, Kaiyuan Guo, Jincheng Yu, et al.. (2016). Real-Time Pedestrian Detection and Tracking on Customized Hardware. 201. 1–1. 5 indexed citations
8.
Wang, Junbin, Leibo Liu, Jianfeng Zhu, Shouyi Yin, & Shaojun Wei. (2015). Acceleration of control flows on reconfigurable architecture with a composite method. 1–6. 4 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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