Yi Mao
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Data Stream Mining Techniques
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 4
-
- GNSS positioning and interference 7
- Inertial Sensor and Navigation 5
- Co-authors
- Dengyong Zhou (2 shared papers)Sumit Basu (1 shared paper)John Platt (1 shared paper)Rui Sun (7 shared papers)Washington Y. Ochieng (4 shared papers)Guy Lebanon (5 shared papers)Qi Cheng (3 shared papers)Joshua V. Dillon (3 shared papers)
- Journals
- GPS Solutions (2 papers)IEEE Internet of Things Journal (2 papers)Remote Sensing (2 papers)The Aeronautical Journal (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Mao
58 papers receiving 955 citations
Peers
Comparison fields: 5 of 120
- Computer Science Applications 166
- Artificial Intelligence 455
- Computer Vision and Pattern Recognition 156
- Health Informatics 8
- Signal Processing 64
Countries citing papers authored by Yi Mao
This map shows the geographic impact of Yi Mao'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 Yi Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Mao more than expected).
Fields of papers citing papers by Yi Mao
This network shows the impact of papers produced by Yi Mao. 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 Yi Mao. The network helps show where Yi Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning from the Wisdom of Crowds by Minimax Entropy | 2012 | 199 |
| 2 | 2021 | 92 | |
| 3 | 2013 | 77 | |
| 4 | 2022 | 75 | |
| 5 | 2022 | 63 | |
| 6 | 2023 | 55 | |
| 7 | 2012 | 48 | |
| 8 | 2020 | 39 | |
| 9 | The Locally Weighted Bag of Words Framework for Document Representation | 2007 | 35 |
| 10 | 2022 | 30 | |
| 11 | 2007 | 26 | |
| 12 | 2022 | 21 | |
| 13 | 2013 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2021 | 13 | |
| 16 | Sequential Models for Sentiment Prediction | 2006 | 13 |
| 17 | 2023 | 12 | |
| 18 | Action-dependent Control Variates for Policy Optimization via Stein Identity | 2018 | 11 |
| 19 | 2013 | 10 | |
| 20 | 2017 | 10 |
About Yi Mao
Yi Mao is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), GNSS positioning and interference (7 papers), Inertial Sensor and Navigation (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Natural Language Processing Techniques (4 papers), Music and Audio Processing (4 papers), Advanced Text Analysis Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Science Applications (166 citations), Artificial Intelligence (455 citations), Computer Vision and Pattern Recognition (156 citations), Health Informatics (8 citations) and Signal Processing (64 citations). Yi Mao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dengyong Zhou, Sumit Basu, John Platt, Rui Sun, Washington Y. Ochieng, Guy Lebanon, Qi Cheng, Joshua V. Dillon, Yixin Chen and Junhui Wang. Their work appears in journals such as GPS Solutions, IEEE Internet of Things Journal, Remote Sensing, The Aeronautical Journal and Neurocomputing.
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.