Yiwei Bai

16 papers receiving 118 citations

Peers

Yiwei Bai
Comparison fields: 5 of 75
  • Transportation 15
  • Ecological Modeling 8
  • Acoustics and Ultrasonics 1
  • Health, Toxicology and Mutagenesis 13
  • Materials Chemistry 43
Replace Peijun He with:
Peijun He United Kingdom
William R. Headley United Kingdom
Jaroslav Koutský Czechia
Maitri Patel India
Hou-Yu Chen Taiwan
Jiangang Yang China
Christopher Porter United States
Chunna Zhang China
Yiwei Bai relative to Peijun He United Kingdom Peijun He's profile →
Citations per field
00.5×3.6×
Peijun He · 1×
Citations per year

Countries citing papers authored by Yiwei Bai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yiwei Bai Line = papers co-authored together Yiwei Bai links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202150
2 202318
3 20199
4
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
20208
5 20238
6 20176
7 20235
8
Fairness of Exposure in Stochastic Bandits
20213
9 20183
10 20193
11 20242
12 20252
13
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.
20172
14 20212
15 20251
16
Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing
20191
17 20250
18 20250

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.

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