Jiaru Bai
- Materials Chemistry
- Information Systems and Management top 5%
- Biomedical Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Jethro AkroydMarkus KraftSebastian MosbachAlexei A. LapkinLiwei CaoAleksandar KondinskiConnor J. TaylorFeroz Farazi
- Topics
- Scientific Computing and Data Management (8 papers)Machine Learning in Materials Science (4 papers)Semantic Web and Ontologies (4 papers)
- Cited by
- Information Systems and ManagementIndustrial and Manufacturing EngineeringFluid Flow and Transfer Processes
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaAccounts of Chemical Research
- Partner nations
- SingaporeUnited KingdomFrance
In The Last Decade
Jiaru Bai
19 papers receiving 260 citations
Peers
Comparison fields: 5 of 58
- Materials Chemistry 83
- Information Systems and Management 63
- Biomedical Engineering 51
- Artificial Intelligence 40
- Electrical and Electronic Engineering 37
Countries citing papers authored by Jiaru Bai
This map shows the geographic impact of Jiaru 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 Jiaru Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaru Bai more than expected).
Fields of papers citing papers by Jiaru Bai
This network shows the impact of papers produced by Jiaru 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 Jiaru Bai. The network helps show where Jiaru Bai may publish in the future.
Co-authorship network of co-authors of Jiaru Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Jiaru Bai. A scholar is included among the top collaborators of Jiaru 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 Jiaru Bai. Jiaru 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 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 41 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 18 | |
| 16 | 67 | |
| 17 | 17 | |
| 18 | 23 | |
| 19 | 12 | |
| 20 | 18 |
About Jiaru Bai
Jiaru Bai is a scholar working on Information Systems and Management, Catalysis and Process Chemistry and Technology, having authored 20 papers that have together received 265 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Machine Learning in Materials Science (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Information Systems and Management (63 citations), Industrial and Manufacturing Engineering (30 citations) and Fluid Flow and Transfer Processes (12 citations). Jiaru Bai has collaborated with scholars based in Singapore, United Kingdom and France. Frequent co-authors include Jethro Akroyd, Markus Kraft, Sebastian Mosbach, Alexei A. Lapkin, Liwei Cao, Aleksandar Kondinski, Connor J. Taylor, Feroz Farazi, Yong Ren Tan and Li Zhou. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Accounts of Chemical Research.
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.