Jieting Wang
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Materials Chemistry
- Co-authors
- Yuhua QianFeijiang LiJiye LiangChuangyin DangXiaobei DengWenjun DingFang ZhangLiping Jing
- Topics
- Advanced Clustering Algorithms Research (8 papers)Face and Expression Recognition (6 papers)Data Mining Algorithms and Applications (5 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACS Applied Materials & InterfacesNanoscale
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jieting Wang
25 papers receiving 649 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 294
- Computational Theory and Mathematics 157
- Computer Vision and Pattern Recognition 126
- Information Systems 100
- Materials Chemistry 96
Countries citing papers authored by Jieting Wang
This map shows the geographic impact of Jieting 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 Jieting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieting Wang more than expected).
Fields of papers citing papers by Jieting Wang
This network shows the impact of papers produced by Jieting 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 Jieting Wang. The network helps show where Jieting Wang may publish in the future.
Co-authorship network of co-authors of Jieting Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jieting Wang. A scholar is included among the top collaborators of Jieting 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 Jieting Wang. Jieting 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 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 86 | |
| 14 | 40 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 27 | |
| 18 | 153 | |
| 19 | 0 | |
| 20 | 0 |
About Jieting Wang
Jieting Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 29 papers that have together received 665 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (8 papers), Face and Expression Recognition (6 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Computational Theory and Mathematics (157 citations), Artificial Intelligence (294 citations) and Computer Vision and Pattern Recognition (126 citations). Jieting Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuhua Qian, Feijiang Li, Jiye Liang, Chuangyin Dang, Xiaobei Deng, Wenjun Ding, Fang Zhang, Liping Jing, Bing Liu and Junqiang Qiu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Applied Materials & Interfaces and Nanoscale.
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.