Junliang Chen
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Information Systems
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- Linlin ShenXiaodong ZhaoJinheng XieXianxu HouZheng QinThou-Ho ChenJinming DuanChin‐Hsing Chen
- Topics
- Advanced Neural Network Applications (4 papers)Context-Aware Activity Recognition Systems (3 papers)Target Tracking and Data Fusion in Sensor Networks (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNano LettersInternational Journal of Biological Macromolecules
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junliang Chen
24 papers receiving 254 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 113
- Artificial Intelligence 111
- Information Systems 29
- Aerospace Engineering 28
- Electrical and Electronic Engineering 22
Countries citing papers authored by Junliang Chen
This map shows the geographic impact of Junliang Chen'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 Junliang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junliang Chen more than expected).
Fields of papers citing papers by Junliang Chen
This network shows the impact of papers produced by Junliang Chen. 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 Junliang Chen. The network helps show where Junliang Chen may publish in the future.
Co-authorship network of co-authors of Junliang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Junliang Chen. A scholar is included among the top collaborators of Junliang Chen 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 Junliang Chen. Junliang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 81 | |
| 15 | 0 | |
| 16 | 27 | |
| 17 | 0 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | 1 |
About Junliang Chen
Junliang Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 273 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Artificial Intelligence (111 citations) and Museology (8 citations). Junliang Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Linlin Shen, Xiaodong Zhao, Jinheng Xie, Xianxu Hou, Zheng Qin, Thou-Ho Chen, Jinming Duan, Chin‐Hsing Chen, Yuexiang Li and Rungtai Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and International Journal of Biological Macromolecules.
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.