Junpeng Wang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Signal Processing top 10%
- Biophysics top 10%
- Co-authors
- Han‐Wei ShenLiang GouHao YangWei ZhangGuang LinChin‐Chia Michael YehHanqi GuoTom Peterka
- Topics
- Data Visualization and Analytics (18 papers)Explainable Artificial Intelligence (XAI) (9 papers)Time Series Analysis and Forecasting (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Visualization and Computer GraphicsIEEE Transactions on Parallel and Distributed SystemsInformation Visualization
- Partner nations
- United StatesChinaSweden
In The Last Decade
Junpeng Wang
33 papers receiving 629 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 430
- Artificial Intelligence 308
- Computer Graphics and Computer-Aided Design 73
- Signal Processing 71
- Biophysics 43
Countries citing papers authored by Junpeng Wang
This map shows the geographic impact of Junpeng 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 Junpeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junpeng Wang more than expected).
Fields of papers citing papers by Junpeng Wang
This network shows the impact of papers produced by Junpeng 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 Junpeng Wang. The network helps show where Junpeng Wang may publish in the future.
Co-authorship network of co-authors of Junpeng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Junpeng Wang. A scholar is included among the top collaborators of Junpeng 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 Junpeng Wang. Junpeng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 105 | |
| 19 | 102 | |
| 20 | 2 |
About Junpeng Wang
Junpeng Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 38 papers that have together received 666 indexed citations. Recurring topics across this work include Data Visualization and Analytics (18 papers), Explainable Artificial Intelligence (XAI) (9 papers) and Time Series Analysis and Forecasting (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (73 citations), Computer Vision and Pattern Recognition (430 citations) and Artificial Intelligence (308 citations). Junpeng Wang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Han‐Wei Shen, Liang Gou, Hao Yang, Wei Zhang, Guang Lin, Wei Zhang, Chin‐Chia Michael Yeh, Hanqi Guo, Tom Peterka and Youssef S. G. Nashed. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Parallel and Distributed Systems and Information Visualization.
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.