Jiaqi Chen
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Finance top 10%
- Economics and Econometrics
- Co-authors
- Wenbo WuXiaodan LiangZhibin YangLiang LinJinghui QinLi ZhangJiachen LuXiatian Zhu
- Topics
- Multimodal Machine Learning Applications (4 papers)Anomaly Detection Techniques and Applications (4 papers)Stock Market Forecasting Methods (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceManagement ScienceIEEE Access
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiaqi Chen
21 papers receiving 280 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 109
- Computer Vision and Pattern Recognition 95
- Management Science and Operations Research 45
- Finance 42
- Economics and Econometrics 35
Countries citing papers authored by Jiaqi Chen
This map shows the geographic impact of Jiaqi 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 Jiaqi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaqi Chen more than expected).
Fields of papers citing papers by Jiaqi Chen
This network shows the impact of papers produced by Jiaqi 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 Jiaqi Chen. The network helps show where Jiaqi Chen may publish in the future.
Co-authorship network of co-authors of Jiaqi Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jiaqi Chen. A scholar is included among the top collaborators of Jiaqi 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 Jiaqi Chen. Jiaqi 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 | 10 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 38 | |
| 12 | 6 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 40 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Hedge Fund Return Prediction and Fund Selection: A Machine-Learning Approach | 2 |
About Jiaqi Chen
Jiaqi Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 24 papers that have together received 284 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Finance (42 citations) and Management Science and Operations Research (45 citations). Jiaqi Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenbo Wu, Xiaodan Liang, Zhibin Yang, Liang Lin, Jinghui Qin, Li Zhang, Jiachen Lu, Xiatian Zhu, Eric P. Xing and Lingbo Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Management Science and IEEE Access.
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.