Hao‐Wei Pang
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computational Theory and Mathematics
- Co-authors
- Kuo–Chuan HoYi‐June HuangWilliam H. GreenChun‐Ting LiChuan‐Pei LeeMatthew S. JohnsonR. VittalA. Mark Payne
- Topics
- Machine Learning in Materials Science (5 papers)Advanced Photocatalysis Techniques (4 papers)TiO2 Photocatalysis and Solar Cells (4 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentFluid Flow and Transfer ProcessesCatalysis
- Journals
- Journal of Materials Chemistry AConstruction and Building MaterialsIndustrial & Engineering Chemistry Research
- Partner nations
- United StatesTaiwanIsrael
In The Last Decade
Hao‐Wei Pang
15 papers receiving 256 citations
Peers
Comparison fields: 5 of 48
- Materials Chemistry 122
- Renewable Energy, Sustainability and the Environment 74
- Electrical and Electronic Engineering 64
- Biomedical Engineering 36
- Computational Theory and Mathematics 31
Countries citing papers authored by Hao‐Wei Pang
This map shows the geographic impact of Hao‐Wei Pang'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‐Wei Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao‐Wei Pang more than expected).
Fields of papers citing papers by Hao‐Wei Pang
This network shows the impact of papers produced by Hao‐Wei Pang. 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‐Wei Pang. The network helps show where Hao‐Wei Pang may publish in the future.
Co-authorship network of co-authors of Hao‐Wei Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Hao‐Wei Pang. A scholar is included among the top collaborators of Hao‐Wei Pang 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‐Wei Pang. Hao‐Wei Pang 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 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 88 | |
| 13 | 6 | |
| 14 | 38 | |
| 15 | 20 | |
| 16 | 22 | |
| 17 | 17 | |
| 18 | 23 |
About Hao‐Wei Pang
Hao‐Wei Pang is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Analytical Chemistry, having authored 18 papers that have together received 263 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Advanced Photocatalysis Techniques (4 papers) and TiO2 Photocatalysis and Solar Cells (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (74 citations), Fluid Flow and Transfer Processes (25 citations) and Catalysis (21 citations). Hao‐Wei Pang has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Kuo–Chuan Ho, Yi‐June Huang, William H. Green, Chun‐Ting Li, Chuan‐Pei Lee, Matthew S. Johnson, R. Vittal, A. Mark Payne, Colin A. Grambow and Mengjie Liu. Their work appears in journals such as Journal of Materials Chemistry A, Construction and Building Materials and Industrial & Engineering Chemistry 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.