Chun‐Chia Kung
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Social Psychology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Michael J. TarrBruno RossionJessie J. PeissigFu‐Zen ShawSheng‐Fu LiangMing‐Hung WengShyhnan LiouDébora Inés Burín
- Topics
- Functional Brain Connectivity Studies (8 papers)Face Recognition and Perception (6 papers)Neural dynamics and brain function (4 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- TaiwanUnited StatesBelgium
In The Last Decade
Chun‐Chia Kung
14 papers receiving 196 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 182
- Experimental and Cognitive Psychology 52
- Computer Vision and Pattern Recognition 39
- Social Psychology 25
- Radiology, Nuclear Medicine and Imaging 11
Countries citing papers authored by Chun‐Chia Kung
This map shows the geographic impact of Chun‐Chia Kung'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 Chun‐Chia Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Chia Kung more than expected).
Fields of papers citing papers by Chun‐Chia Kung
This network shows the impact of papers produced by Chun‐Chia Kung. 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 Chun‐Chia Kung. The network helps show where Chun‐Chia Kung may publish in the future.
Co-authorship network of co-authors of Chun‐Chia Kung
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Chia Kung. A scholar is included among the top collaborators of Chun‐Chia Kung 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 Chun‐Chia Kung. Chun‐Chia Kung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 10 | |
| 17 | 29 | |
| 18 | 114 |
About Chun‐Chia Kung
Chun‐Chia Kung is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Applied Psychology, having authored 18 papers that have together received 204 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Face Recognition and Perception (6 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cognitive Neuroscience (182 citations), Experimental and Cognitive Psychology (52 citations) and Computer Vision and Pattern Recognition (39 citations). Chun‐Chia Kung has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Michael J. Tarr, Bruno Rossion, Jessie J. Peissig, Fu‐Zen Shaw, Sheng‐Fu Liang, Ming‐Hung Weng, Sheng‐Fu Liang, Shyhnan Liou, Débora Inés Burín and Chia‐Chi Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.
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.