Hao Bai
- Management of Technology and Innovation top 2%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 10%
- Molecular Biology
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- C.K. KwongRobert K. PooleJeffrey GreenMatthew D. RolfeMichael EdererRong ZhuKatja BettenbrockKlaas J. Hellingwerf
- Topics
- MicroRNA in disease regulation (3 papers)RNA modifications and cancer (3 papers)Quality Function Deployment in Product Design (3 papers)
- Cited by
- Management of Technology and InnovationManagement Science and Operations ResearchSafety, Risk, Reliability and Quality
- Journals
- Journal of Cleaner ProductionCoordination Chemistry ReviewsInternational Journal of Molecular Sciences
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Hao Bai
21 papers receiving 543 citations
Peers
Comparison fields: 5 of 124
- Management of Technology and Innovation 264
- Management Science and Operations Research 263
- Control and Systems Engineering 77
- Molecular Biology 66
- Safety, Risk, Reliability and Quality 64
Countries citing papers authored by Hao Bai
This map shows the geographic impact of Hao 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 Hao Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Bai more than expected).
Fields of papers citing papers by Hao Bai
This network shows the impact of papers produced by Hao 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 Hao Bai. The network helps show where Hao Bai may publish in the future.
Co-authorship network of co-authors of Hao Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Bai. A scholar is included among the top collaborators of Hao Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Bai. Hao Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 48 | |
| 17 | 4 | |
| 18 | 80 | |
| 19 | 46 | |
| 20 | 294 |
About Hao Bai
Hao Bai is a scholar working on Management of Technology and Innovation, Cancer Research and Molecular Medicine, having authored 23 papers that have together received 572 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers) and Quality Function Deployment in Product Design (3 papers). The work is most often cited by research in Management of Technology and Innovation (264 citations), Management Science and Operations Research (263 citations) and Safety, Risk, Reliability and Quality (64 citations). Hao Bai has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include C.K. Kwong, Robert K. Poole, Jeffrey Green, Matthew D. Rolfe, Michael Ederer, Rong Zhu, Katja Bettenbrock, Klaas J. Hellingwerf, Oliver Sawodny and Guido Sanguinetti. Their work appears in journals such as Journal of Cleaner Production, Coordination Chemistry Reviews and International Journal of Molecular Sciences.
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.