Junbin Wang
Impact in
- Hardware and Architecture top 2%
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
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- Embedded Systems Design Techniques 3
- Parallel Computing and Optimization Techniques 1
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- Advanced Neural Network Applications 3
- Co-authors
- Lingzhi Sui (3 shared papers)Jincheng Yu (2 shared papers)Song Han (2 shared papers)Huazhong Yang (1 shared paper)Kaiyuan Guo (2 shared papers)Jiantao Qiu (1 shared paper)Yu Wang (1 shared paper)Song Yao (2 shared papers)
- Journals
- Computer Applications in Engineering Education (2 papers)IEEE Micro (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)Pattern Recognition (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junbin Wang
10 papers receiving 546 citations
Junbin Wang's Hit Papers
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 302
- Computer Vision and Pattern Recognition 341
- Electrical and Electronic Engineering 88
- Computer Networks and Communications 29
- Artificial Intelligence 35
Countries citing papers authored by Junbin Wang
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
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-authors
The 25 scholars most cited alongside Junbin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA Hit paper breakdown → | 2017 | 465 |
| 2 | 2018 | 20 | |
| 3 | 2020 | 19 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 10 | |
| 6 | 2017 | 9 | |
| 7 | 2016 | 5 | |
| 8 | 2015 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2025 | 1 |
About Junbin Wang
Junbin Wang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 555 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (3 papers), Advanced Neural Network Applications (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Traffic and Road Safety (1 paper), Advanced Clustering Algorithms Research (1 paper), Parallel Computing and Optimization Techniques (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Educational Technology and Assessment (1 paper). The work is most often cited by research in Hardware and Architecture (302 citations), Computer Vision and Pattern Recognition (341 citations), Electrical and Electronic Engineering (88 citations), Computer Networks and Communications (29 citations) and Artificial Intelligence (35 citations). Junbin Wang has collaborated with scholars based in China and United States. Frequent co-authors include Lingzhi Sui, Jincheng Yu, Song Han, Huazhong Yang, Kaiyuan Guo, Jiantao Qiu, Yu Wang, Song Yao, Pin Lv and Xiaoxin Wang. Their work appears in journals such as Computer Applications in Engineering Education, IEEE Micro, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.
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.