Tingting Mu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- John Y. GoulermasAsoke K. NandiMeng WangSophia AnaniadouJianmin JiangRangaraj M. RangayyanYanbin HaoYan Wang
- Topics
- Topic Modeling (14 papers)Face and Expression Recognition (14 papers)Text and Document Classification Technologies (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Tingting Mu
77 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 535
- Computer Vision and Pattern Recognition 409
- Biomedical Engineering 149
- Electrical and Electronic Engineering 105
- Molecular Biology 93
Countries citing papers authored by Tingting Mu
This map shows the geographic impact of Tingting Mu'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 Tingting Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Mu more than expected).
Fields of papers citing papers by Tingting Mu
This network shows the impact of papers produced by Tingting Mu. 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 Tingting Mu. The network helps show where Tingting Mu may publish in the future.
Co-authorship network of co-authors of Tingting Mu
This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Mu. A scholar is included among the top collaborators of Tingting Mu 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 Tingting Mu. Tingting Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 33 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation | 2 |
| 17 | 55 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 9 |
About Tingting Mu
Tingting Mu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Face and Expression Recognition (14 papers) and Text and Document Classification Technologies (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (409 citations), Artificial Intelligence (535 citations) and Automotive Engineering (79 citations). Tingting Mu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include John Y. Goulermas, Asoke K. Nandi, Meng Wang, Sophia Ananiadou, Jianmin Jiang, Rangaraj M. Rangayyan, Yanbin Hao, Yan Wang, Danushka Bollegala and Richang Hong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.