Yiwei Bai
Impact in
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- Urban Transport and Accessibility
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- Species Distribution and Climate Change
Papers in
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- Gas Sensing Nanomaterials and Sensors 2
- Photonic and Optical Devices 2
- Advanced Fiber Optic Sensors 1
- Co-authors
- Carla P. Gomes (7 shared papers)Wenting Zhao (3 shared papers)John M. Gregoire (3 shared papers)Dan Guevarra (1 shared paper)Bart Selman (1 shared paper)Di Chen (1 shared paper)Lan Zhou (1 shared paper)R. B. van Dover (1 shared paper)
- Journals
- Nature Machine Intelligence (1 paper)Microsystem Technologies (1 paper)Journal of Environmental Management (1 paper)Building and Environment (1 paper)Ecology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yiwei Bai
16 papers receiving 118 citations
Peers
Comparison fields: 5 of 75
- Transportation 15
- Ecological Modeling 8
- Acoustics and Ultrasonics 1
- Health, Toxicology and Mutagenesis 13
- Materials Chemistry 43
Countries citing papers authored by Yiwei Bai
This map shows the geographic impact of Yiwei 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 Yiwei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Bai more than expected).
Fields of papers citing papers by Yiwei Bai
This network shows the impact of papers produced by Yiwei 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 Yiwei Bai. The network helps show where Yiwei Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2023 | 18 | |
| 3 | 2019 | 9 | |
| 4 | Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning | 2020 | 8 |
| 5 | 2023 | 8 | |
| 6 | 2017 | 6 | |
| 7 | 2023 | 5 | |
| 8 | Fairness of Exposure in Stochastic Bandits | 2021 | 3 |
| 9 | 2018 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 | |
| 13 | An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. | 2017 | 2 |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing | 2019 | 1 |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Yiwei Bai
Yiwei Bai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Nature and Landscape Conservation, Health, Toxicology and Mutagenesis and Transportation, having authored 18 papers that have together received 123 indexed citations. Recurring topics across this work include Urban Green Space and Health (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Urban Transport and Accessibility (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Photonic and Optical Devices (2 papers), X-ray Diffraction in Crystallography (1 paper) and Advanced Fiber Optic Sensors (1 paper). The work is most often cited by research in Transportation (15 citations), Ecological Modeling (8 citations), Acoustics and Ultrasonics (1 citation), Health, Toxicology and Mutagenesis (13 citations) and Materials Chemistry (43 citations). Yiwei Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Carla P. Gomes, Wenting Zhao, John M. Gregoire, Dan Guevarra, Bart Selman, Di Chen, Lan Zhou, R. B. van Dover, Bo Bai and Tianren Yang. Their work appears in journals such as Nature Machine Intelligence, Microsystem Technologies, Journal of Environmental Management, Building and Environment and Ecology.
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.