Mengjiao Wang
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Biomedical Engineering
- Co-authors
- Yao XiaoHuijuan WuXiangrong LiuYunjiang RaoJiping ChenYi ZhengJinghua ZhaoYujie Xiao
- Topics
- Face and Expression Recognition (6 papers)Face recognition and analysis (4 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAnalytical ChemistryIEEE Access
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Mengjiao Wang
30 papers receiving 418 citations
Peers
Comparison fields: 5 of 94
- Electrical and Electronic Engineering 151
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 109
- Civil and Structural Engineering 55
- Biomedical Engineering 37
Countries citing papers authored by Mengjiao Wang
This map shows the geographic impact of Mengjiao 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 Mengjiao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengjiao Wang more than expected).
Fields of papers citing papers by Mengjiao Wang
This network shows the impact of papers produced by Mengjiao 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 Mengjiao Wang. The network helps show where Mengjiao Wang may publish in the future.
Co-authorship network of co-authors of Mengjiao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Mengjiao Wang. A scholar is included among the top collaborators of Mengjiao 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 Mengjiao Wang. Mengjiao 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 | 8 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 185 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 1 |
About Mengjiao Wang
Mengjiao Wang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Algebra and Number Theory, having authored 33 papers that have together received 445 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Face recognition and analysis (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Computational Mathematics (3 citations) and Instrumentation (16 citations). Mengjiao Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yao Xiao, Huijuan Wu, Xiangrong Liu, Yunjiang Rao, Jiping Chen, Yi Zheng, Jinghua Zhao, Yujie Xiao, Licheng Yu and Stefanos Zafeiriou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry 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.