Bibo Jiang
Impact in
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- Advanced Statistical Methods and Models
- Statistical Methods and Inference
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- Systemic Lupus Erythematosus Research
Papers in ⓘ
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- Statistical Methods and Inference 2
- Co-authors
- Xufei Wang (1 shared paper)Chachrit Khunsriraksakul (6 shared papers)Dajiang J. Liu (7 shared papers)Laura Carrel (7 shared papers)Havell Markus (6 shared papers)Daniel McGuire (3 shared papers)Nancy J. Olsen (4 shared papers)Daniel R. George (1 shared paper)
- Journals
- Nature Communications (5 papers)Organic Process Research & Development (2 papers)Cell Genomics (1 paper)Electronics (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesChinaMyanmar
In The Last Decade
Bibo Jiang
15 papers receiving 148 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 16
- Rheumatology 22
- Neuropsychology and Physiological Psychology 2
- Immunology 28
- Genetics 31
Countries citing papers authored by Bibo Jiang
This map shows the geographic impact of Bibo Jiang'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 Bibo Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bibo Jiang more than expected).
Fields of papers citing papers by Bibo Jiang
This network shows the impact of papers produced by Bibo Jiang. 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 Bibo Jiang. The network helps show where Bibo Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bibo Jiang, 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 | 2016 | 34 | |
| 2 | 2022 | 27 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 13 | |
| 5 | 2020 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | Nonstationary Logistic Regression | 2010 | 2 |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Bibo Jiang
Bibo Jiang is a scholar working on Neuropsychology and Physiological Psychology, Statistics and Probability, Health, Rheumatology and Gastroenterology, having authored 18 papers that have together received 154 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Systemic Lupus Erythematosus Research (3 papers), Statistical Methods and Inference (2 papers), Health disparities and outcomes (2 papers), Urban Green Space and Health (1 paper), Chemical Thermodynamics and Molecular Structure (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Statistics and Probability (16 citations), Rheumatology (22 citations), Neuropsychology and Physiological Psychology (2 citations), Immunology (28 citations) and Genetics (31 citations). Bibo Jiang has collaborated with scholars based in United States, China and Myanmar. Frequent co-authors include Xufei Wang, Chachrit Khunsriraksakul, Dajiang J. Liu, Laura Carrel, Havell Markus, Daniel McGuire, Nancy J. Olsen, Daniel R. George, Li Wang and Zhiwei Li. Their work appears in journals such as Nature Communications, Organic Process Research & Development, Cell Genomics, Electronics and Frontiers in Immunology.
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.