Jun Bai
Impact in
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- Environmental Impact and Sustainability
- Statistics and Probability top 10%
- Statistical Distribution Estimation and Applications
Papers in
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- Environmental Impact and Sustainability 6
- Wind and Air Flow Studies 3
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- Energy, Environment, Economic Growth 6
- Co-authors
- Anthony J. Jakeman (11 shared papers)Shixiang Li (7 shared papers)Michael McAleer (5 shared papers)Yi Li (1 shared paper)N. Zhou (1 shared paper)Yan Song (1 shared paper)Kailu Guo (1 shared paper)Tao Jiang (1 shared paper)
- Journals
- Ecological Indicators (2 papers)Mathematics and Computers in Simulation (2 papers)Journal of Nutrition (1 paper)Water Science & Technology (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Bai
47 papers receiving 454 citations
Peers
Comparison fields: 5 of 101
- Environmental Engineering 73
- Statistics and Probability 34
- Economics and Econometrics 111
- Global and Planetary Change 80
- Health, Toxicology and Mutagenesis 45
Countries citing papers authored by Jun Bai
This map shows the geographic impact of Jun 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 Jun Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Bai more than expected).
Fields of papers citing papers by Jun Bai
This network shows the impact of papers produced by Jun 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 Jun Bai. The network helps show where Jun Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 43 | |
| 2 | 2024 | 39 | |
| 3 | 2022 | 38 | |
| 4 | 2013 | 32 | |
| 5 | 1991 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2023 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2014 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2024 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 1991 | 11 | |
| 16 | 1992 | 11 | |
| 17 | 1991 | 10 | |
| 18 | An architecture for efficient, flexible enterprise system integration | 2003 | 9 |
| 19 | Reliability and Validity of the Type D Personality Scale in Chinese | 2007 | 8 |
| 20 | 2022 | 8 |
About Jun Bai
Jun Bai is a scholar working on Environmental Engineering, Economics and Econometrics, Global and Planetary Change, Ocean Engineering and Health, Toxicology and Mutagenesis, having authored 52 papers that have together received 460 indexed citations. Recurring topics across this work include Environmental Impact and Sustainability (6 papers), Energy, Environment, Economic Growth (6 papers), Air Quality and Health Impacts (5 papers), Environmental Changes in China (5 papers), Wetland Management and Conservation (5 papers), Land Use and Ecosystem Services (3 papers), Constructed Wetlands for Wastewater Treatment (3 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Environmental Engineering (73 citations), Statistics and Probability (34 citations), Economics and Econometrics (111 citations), Global and Planetary Change (80 citations) and Health, Toxicology and Mutagenesis (45 citations). Jun Bai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Anthony J. Jakeman, Shixiang Li, Michael McAleer, Yi Li, N. Zhou, Yan Song, Kailu Guo, Tao Jiang, Jinhua Cheng and Mengru Liu. Their work appears in journals such as Ecological Indicators, Mathematics and Computers in Simulation, Journal of Nutrition, Water Science & Technology and npj Digital Medicine.
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.