Junbin Wang
Impact in
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 2
-
- Intelligent Tutoring Systems and Adaptive Learning 1
- Co-authors
- Lingzhi Sui (3 shared papers)Song Yao (2 shared papers)Kaiyuan Guo (2 shared papers)Song Han (2 shared papers)Jincheng Yu (2 shared papers)Jiantao Qiu (1 shared paper)Huazhong Yang (1 shared paper)Yu Wang (1 shared paper)
- Journals
- Computer Applications in Engineering Education (2 papers)IEEE Micro (1 paper)Pattern Recognition (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junbin Wang
8 papers receiving 479 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 329
- Hardware and Architecture 53
- Electrical and Electronic Engineering 277
- Artificial Intelligence 153
- Media Technology 27
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 24 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 | 416 |
| 2 | 2020 | 19 | |
| 3 | 2018 | 19 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 9 | |
| 6 | 2016 | 5 | |
| 7 | 2015 | 4 | |
| 8 | 2019 | 3 |
About Junbin Wang
Junbin Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Information Systems and Computer Science Applications, having authored 8 papers that have together received 487 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (2 papers), Online Learning and Analytics (2 papers), Recommender Systems and Techniques (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Data Management and Algorithms (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 (329 citations), Hardware and Architecture (53 citations), Electrical and Electronic Engineering (277 citations), Artificial Intelligence (153 citations) and Media Technology (27 citations). Junbin Wang has collaborated with scholars based in China and United States. Frequent co-authors include Lingzhi Sui, Song Yao, Kaiyuan Guo, Song Han, Jincheng Yu, Jiantao Qiu, Huazhong Yang, Yu Wang, Jiye Liang and Liang Bai. Their work appears in journals such as Computer Applications in Engineering Education, IEEE Micro, Pattern Recognition and IEEE Transactions on Computer-Aided Design of Integrated Circuits and 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.