Jiakai Wang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- Xianglong LiuAishan LiuHaotong QinShunchang LiuShiyu TangRenshuai TaoYuqing MaXiangguo Zhang
- Topics
- Adversarial Robustness in Machine Learning (12 papers)Anomaly Detection Techniques and Applications (11 papers)Advanced Neural Network Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jiakai Wang
41 papers receiving 604 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 304
- Computer Vision and Pattern Recognition 221
- Biomedical Engineering 75
- Signal Processing 72
- Molecular Biology 49
Countries citing papers authored by Jiakai Wang
This map shows the geographic impact of Jiakai Wang'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 Jiakai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiakai Wang more than expected).
Fields of papers citing papers by Jiakai Wang
This network shows the impact of papers produced by Jiakai Wang. 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 Jiakai Wang. The network helps show where Jiakai Wang may publish in the future.
Co-authorship network of co-authors of Jiakai Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiakai Wang. A scholar is included among the top collaborators of Jiakai Wang 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 Jiakai Wang. Jiakai Wang 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 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 28 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 62 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | Patch Attack for Automatic Check-out | 2 |
| 20 | 9 |
About Jiakai Wang
Jiakai Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 46 papers that have together received 620 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (12 papers), Anomaly Detection Techniques and Applications (11 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Artificial Intelligence (304 citations) and Signal Processing (72 citations). Jiakai Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xianglong Liu, Aishan Liu, Haotong Qin, Shunchang Liu, Shiyu Tang, Xianglong Liu, Renshuai Tao, Yuqing Ma, Xiangguo Zhang and Jiwen Lu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.