Junbin Wang
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 2
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- Online Learning and Analytics 2
- Co-authors
- Lingzhi Sui (3 shared papers)Song Yao (2 shared papers)Jincheng Yu (2 shared papers)Kaiyuan Guo (2 shared papers)Song Han (2 shared papers)Jiantao Qiu (1 shared paper)Yu Wang (1 shared paper)Huazhong Yang (1 shared paper)
- 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)IEEE Transactions on Intelligent Transportation Systems (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junbin Wang
10 papers receiving 539 citations
Junbin Wang's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 359
- Hardware and Architecture 59
- Electrical and Electronic Engineering 299
- Artificial Intelligence 167
- Media Technology 30
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 | 458 |
| 2 | 2018 | 20 | |
| 3 | 2020 | 19 | |
| 4 | 2021 | 18 | |
| 5 | 2017 | 9 | |
| 6 | 2021 | 9 | |
| 7 | 2016 | 5 | |
| 8 | 2019 | 5 | |
| 9 | 2015 | 4 | |
| 10 | 2025 | 1 |
About Junbin Wang
Junbin Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications, Automotive Engineering, Information Systems and Artificial Intelligence, having authored 10 papers that have together received 548 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Online Learning and Analytics (2 papers), Recommender Systems and Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Text and Document Classification Technologies (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Hardware and Architecture (59 citations), Electrical and Electronic Engineering (299 citations), Artificial Intelligence (167 citations) and Media Technology (30 citations). Junbin Wang has collaborated with scholars based in China and United States. Frequent co-authors include Lingzhi Sui, Song Yao, Jincheng Yu, Kaiyuan Guo, Song Han, Jiantao Qiu, Yu Wang, Huazhong Yang, 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, IEEE Transactions on Intelligent Transportation Systems and Pattern Recognition.
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.