Junjie Chen
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence top 10%
- Co-authors
- Jie XiangHao GuoRui CaoHaifang LiYong XuBin WangXiaohong HanConggai Li
- Topics
- Functional Brain Connectivity Studies (23 papers)Neural dynamics and brain function (14 papers)EEG and Brain-Computer Interfaces (11 papers)
- Journals
- IEEE AccessEnergyMolecules
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junjie Chen
66 papers receiving 904 citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 557
- Experimental and Cognitive Psychology 145
- Signal Processing 124
- Radiology, Nuclear Medicine and Imaging 110
- Artificial Intelligence 105
Countries citing papers authored by Junjie Chen
This map shows the geographic impact of Junjie 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 Junjie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Chen more than expected).
Fields of papers citing papers by Junjie Chen
This network shows the impact of papers produced by Junjie 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 Junjie Chen. The network helps show where Junjie Chen may publish in the future.
Co-authorship network of co-authors of Junjie Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Chen. A scholar is included among the top collaborators of Junjie 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 Junjie Chen. Junjie 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 34 | |
| 9 | 33 | |
| 10 | AD classification based on brain functional network using ADNI | 1 |
| 11 | 2 | |
| 12 | Fleet elastic load balancing mechanism in cloud environment | 1 |
| 13 | Research on Sharing and Steganographic Algorithm for Batch Cover Image | 1 |
| 14 | Decoding brain image data using machine learning | 0 |
| 15 | 2 | |
| 16 | Research Security for Batch Steganography | 1 |
| 17 | Application of RMVA in Distributed System | 0 |
| 18 | Research on Workload Adaptation Architecture for DBMS | 0 |
| 19 | Research on architecture for DBMS | 0 |
| 20 | Multi-dimensional reduction technique research on case retrieval model in CBR | 1 |
About Junjie Chen
Junjie Chen is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Experimental and Cognitive Psychology, having authored 81 papers that have together received 933 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (14 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Cognitive Neuroscience (557 citations), Signal Processing (124 citations) and Experimental and Cognitive Psychology (145 citations). Junjie Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Xiang, Hao Guo, Rui Cao, Haifang Li, Yong Xu, Bin Wang, Xiaohong Han, Conggai Li, Kerang Zhang and Cheng Chen. Their work appears in journals such as IEEE Access, Energy and Molecules.
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.