Yuting Bai
Impact in
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 13
- Neural Networks and Applications 7
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- Energy Load and Power Forecasting 12
- Indoor and Outdoor Localization Technologies 12
- Co-authors
- Xuebo Jin (47 shared papers)Tingli Su (47 shared papers)Jianlei Kong (44 shared papers)Xiaoyi Wang (32 shared papers)Zhiyao Zhao (12 shared papers)Baihai Zhang (5 shared papers)Xuebo Jin (10 shared papers)Jiashuai Zhang (3 shared papers)
In The Last Decade
Yuting Bai
69 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 133
- Environmental Engineering 273
- Artificial Intelligence 497
- Control and Systems Engineering 324
- Signal Processing 144
- Management Science and Operations Research 137
Countries citing papers authored by Yuting Bai
This map shows the geographic impact of Yuting Bai'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 Yuting Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Bai more than expected).
Fields of papers citing papers by Yuting Bai
This network shows the impact of papers produced by Yuting Bai. 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 Yuting Bai. The network helps show where Yuting Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Bai, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | 2022 | 101 | |
| 3 | 2020 | 97 | |
| 4 | 2021 | 93 | |
| 5 | 2020 | 88 | |
| 6 | 2020 | 79 | |
| 7 | 2023 | 77 | |
| 8 | 2022 | 75 | |
| 9 | 2023 | 70 | |
| 10 | 2020 | 68 | |
| 11 | 2022 | 61 | |
| 12 | 2019 | 58 | |
| 13 | 2020 | 52 | |
| 14 | 2023 | 48 | |
| 15 | 2018 | 48 | |
| 16 | 2019 | 48 | |
| 17 | 2023 | 40 | |
| 18 | 2020 | 39 | |
| 19 | 2022 | 39 | |
| 20 | 2021 | 36 |
About Yuting Bai
Yuting Bai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, Signal Processing and Environmental Engineering, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Energy Load and Power Forecasting (12 papers), Indoor and Outdoor Localization Technologies (12 papers), Air Quality Monitoring and Forecasting (10 papers), Inertial Sensor and Navigation (10 papers), Time Series Analysis and Forecasting (9 papers), Neural Networks and Applications (7 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Environmental Engineering (273 citations), Artificial Intelligence (497 citations), Control and Systems Engineering (324 citations), Signal Processing (144 citations) and Management Science and Operations Research (137 citations). Yuting Bai has collaborated with scholars based in China and India. Frequent co-authors include Xuebo Jin, Tingli Su, Jianlei Kong, Xiaoyi Wang, Zhiyao Zhao, Baihai Zhang, Xuebo Jin, Jiashuai Zhang, Bin Yan and Prąsun Chakrabarti. Their work appears in journals such as Sensors, Applied Sciences, Complexity, International Journal of Intelligent Systems and Agronomy.
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.