Bonan Zhu
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Condensed Matter Physics top 10%
- Polymers and Plastics
- Co-authors
- Judith L. MacManus‐DriscollDavid O. ScanlonWeiwei LiDawei DiHaiyan WangPing LuSeán R. KavanaghEdoardo Ruggeri
- Topics
- Magnetic and transport properties of perovskites and related materials (10 papers)Electronic and Structural Properties of Oxides (10 papers)Machine Learning in Materials Science (9 papers)
- Cited by
- Materials ChemistryElectronic, Optical and Magnetic MaterialsElectrical and Electronic Engineering
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Bonan Zhu
32 papers receiving 856 citations
Peers
Comparison fields: 5 of 55
- Materials Chemistry 539
- Electrical and Electronic Engineering 454
- Electronic, Optical and Magnetic Materials 202
- Condensed Matter Physics 85
- Polymers and Plastics 81
Countries citing papers authored by Bonan Zhu
This map shows the geographic impact of Bonan Zhu'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 Bonan Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bonan Zhu more than expected).
Fields of papers citing papers by Bonan Zhu
This network shows the impact of papers produced by Bonan Zhu. 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 Bonan Zhu. The network helps show where Bonan Zhu may publish in the future.
Co-authorship network of co-authors of Bonan Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Bonan Zhu. A scholar is included among the top collaborators of Bonan Zhu 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 Bonan Zhu. Bonan Zhu 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 | 10 | |
| 4 | 33 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 25 | |
| 10 | 38 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 177 | |
| 15 | 70 | |
| 16 | 89 | |
| 17 | 27 | |
| 18 | 30 | |
| 19 | 35 | |
| 20 | 85 |
About Bonan Zhu
Bonan Zhu is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 33 papers that have together received 865 indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (10 papers), Electronic and Structural Properties of Oxides (10 papers) and Machine Learning in Materials Science (9 papers). The work is most often cited by research in Materials Chemistry (539 citations), Electronic, Optical and Magnetic Materials (202 citations) and Electrical and Electronic Engineering (454 citations). Bonan Zhu has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Judith L. MacManus‐Driscoll, David O. Scanlon, Weiwei Li, Dawei Di, Haiyan Wang, Ping Lu, Seán R. Kavanagh, Edoardo Ruggeri, Rachel A. Oliver and Giorgio Divitini. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Nano 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.