Hao Wei
Impact in
- Insect Science top 10%
-
- Data Visualization and Analytics
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 6
- CRISPR and Genetic Engineering 2
- Genetics 5
- Insect and Arachnid Ecology and Behavior 3
- Virus-based gene therapy research 2
- Co-authors
- Shi‐Xia Liu (2 shared papers)Weiwei Cui (1 shared paper)Zhuofeng Wu (1 shared paper)Jiangkuan Xing (3 shared papers)Kun Luo (1 shared paper)Steven H. Strauss (2 shared papers)Amy M. Brunner (2 shared papers)Brooke E. E. Montgomery (1 shared paper)
- Journals
- Acta Biochimica et Biophysica Sinica (4 papers)Fuel (2 papers)Forests (1 paper)Tropical Medicine and Infectious Disease (1 paper)Current Biology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hao Wei
20 papers receiving 427 citations
Peers
Comparison fields: 5 of 95
- Insect Science 58
- Computer Vision and Pattern Recognition 88
- Biomaterials 39
- Fuel Technology 2
- Plant Science 88
Countries citing papers authored by Hao Wei
This map shows the geographic impact of Hao Wei'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 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 more than expected).
Fields of papers citing papers by Hao Wei
This network shows the impact of papers produced by Hao Wei. 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. The network helps show where Hao Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 90 | |
| 2 | 2021 | 79 | |
| 3 | 2007 | 73 | |
| 4 | 2006 | 40 | |
| 5 | 2011 | 33 | |
| 6 | 2019 | 26 | |
| 7 | 2009 | 20 | |
| 8 | 2024 | 14 | |
| 9 | 2014 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2008 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2008 | 1 |
About Hao Wei
Hao Wei is a scholar working on Molecular Biology, Genetics, Biomaterials, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 443 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Insect and Arachnid Ecology and Behavior (3 papers), Thermochemical Biomass Conversion Processes (3 papers), Silk-based biomaterials and applications (3 papers), Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (2 papers), Plant and animal studies (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Insect Science (58 citations), Computer Vision and Pattern Recognition (88 citations), Biomaterials (39 citations), Fuel Technology (2 citations) and Plant Science (88 citations). Hao Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shi‐Xia Liu, Weiwei Cui, Zhuofeng Wu, Jiangkuan Xing, Kun Luo, Steven H. Strauss, Amy M. Brunner, Brooke E. E. Montgomery, Ani A. Elias and О. Г. Шевченко. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Fuel, Forests, Tropical Medicine and Infectious Disease and Current Biology.
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.