Yiwei Bai

622 citations
22 papers · 143 · h-index 7

Impact in

Papers in

Yiwei Bai

19 papers receiving 140 citations

Peers

Yiwei Bai
Comparison fields: 5 of 80
  • Ecological Modeling 12
  • Transportation 15
  • Structural Biology 2
  • Acoustics and Ultrasonics 1
  • Health, Toxicology and Mutagenesis 14
Replace Peijun He with:
Peijun He United Kingdom
Jaroslav Koutský Czechia
Maitri Patel India
Todd H. West United States
William R. Headley United Kingdom
Yu Shao China
Jiao Fu China
Jiayao Wang China
Richard Bernstein United States
Naba Al‐Sari United Kingdom
Yiwei Bai relative to Peijun He United Kingdom Peijun He's profile →
Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202154
2 202321
3 202312
4
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
20209
5 20199
6 20236
7 20176
8
Fairness of Exposure in Stochastic Bandits
20214
9 20183
10 20193
11 20242
12 20232
13 20212
14 20252
15 20252
16 20222
17
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.
20172
18
Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing
20191
19 20211
20 20230

About Yiwei Bai

Yiwei Bai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Nature and Landscape Conservation, Ecology and Health, Toxicology and Mutagenesis, having authored 22 papers that have together received 143 indexed citations. Recurring topics across this work include Photonic and Optical Devices (2 papers), Urban Transport and Accessibility (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Urban Green Space and Health (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Artificial Intelligence in Games (1 paper) and Water-Energy-Food Nexus Studies (1 paper). The work is most often cited by research in Ecological Modeling (12 citations), Transportation (15 citations), Structural Biology (2 citations), Acoustics and Ultrasonics (1 citation) and Health, Toxicology and Mutagenesis (14 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, Sebastian Ament, Di Chen, Lan Zhou, Bart Selman, Dan Guevarra, R. B. van Dover and Bo Bai. Their work appears in journals such as Microsystem Technologies, Journal of Environmental Management, Ecology, Applied Soil Ecology and Optics Letters.

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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