Zhikai Chen
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Topics
- Digital Media Forensic Detection (5 papers)Scientific Computing and Data Management (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhikai Chen
21 papers receiving 644 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 266
- Computer Vision and Pattern Recognition 228
- Cellular and Molecular Neuroscience 193
- Artificial Intelligence 148
- Electrical and Electronic Engineering 80
Countries citing papers authored by Zhikai Chen
This map shows the geographic impact of Zhikai 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 Zhikai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhikai Chen more than expected).
Fields of papers citing papers by Zhikai Chen
This network shows the impact of papers produced by Zhikai 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 Zhikai Chen. The network helps show where Zhikai Chen may publish in the future.
Co-authorship network of co-authors of Zhikai Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhikai Chen. A scholar is included among the top collaborators of Zhikai 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 Zhikai Chen. Zhikai 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 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | Exploring the Potential of Large Language Models (LLMs)in Learning on Graphsbreakdown → | 73 |
| 6 | 83 | |
| 7 | 4 | |
| 8 | 37 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 21 | |
| 12 | 20 | |
| 13 | 68 | |
| 14 | 216 | |
| 15 | 57 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Arcade: A web-Java based framework for distributed computing | 4 |
| 19 | An Architecture to Support Collaborative Distributed Heterogeneous Computing Applications | 2 |
| 20 | 0 |
About Zhikai Chen
Zhikai Chen is a scholar working on Information Systems and Management, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 663 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (5 papers), Scientific Computing and Data Management (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Cognitive Neuroscience (266 citations), Human-Computer Interaction (64 citations) and Computer Vision and Pattern Recognition (228 citations). Zhikai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaogang Chen, Xiaorong Gao, Shangkai Gao, Shanmin Pang, Xin Jin, Wei Zhou, Jianxin Lin, Zhibo Chen, Wenyuan Yang and Xiaochun Cao. Their work appears in journals such as Journal of Cell Science, IEEE Transactions on Image Processing and Neurocomputing.
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.