Liang Wang
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 13
- Supramolecular Self-Assembly in Materials 7
- Biomedical Engineering top 1%
- Thermochemical Biomass Conversion Processes 23
- Graphene and Nanomaterials Applications 16
- Lignin and Wood Chemistry 7
- Materials Chemistry top 2%
- Nanoparticles: synthesis and applications 7
- Graphene research and applications 7
- Water Science and Technology top 2%
- Fuel Technology top 2%
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- Iron and Steelmaking Processes 8
In The Last Decade
Liang Wang
134 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Biomaterials 704
- Biomedical Engineering 2.2k
- Materials Chemistry 1.9k
- Water Science and Technology 562
- Fuel Technology 28
Countries citing papers authored by Liang Wang
This map shows the geographic impact of Liang Wang'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 Liang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Wang more than expected).
Fields of papers citing papers by Liang Wang
This network shows the impact of papers produced by Liang Wang. 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 Liang Wang. The network helps show where Liang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 38 | |
| 12 | Extending the operational space of the high bootstrap current fraction scenario on DIII-D towards ITER steady-state | 2021 | 1 |
| 13 | 2020 | 27 | |
| 14 | 2019 | 16 | |
| 15 | Operational Mode Identification Based on Sliding Time Window Method and Eigensystem Realization Algorithm | 2019 | 1 |
| 16 | 2017 | 31 | |
| 17 | 2014 | 26 | |
| 18 | 2013 | 64 | |
| 19 | Dynamic biometrics fusion at feature level for video-based human recognition | 2007 | 7 |
| 20 | A Quantitative Analysis on Regional Differences of the Urbanization Level Since the China’s Economic Reform | 2005 | 1 |
About Liang Wang
Liang Wang is a scholar working on Fuel Technology, Biomaterials and Biomedical Engineering, having authored 140 papers that have together received 4.6k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (23 papers), Graphene and Nanomaterials Applications (16 papers), Nanoparticle-Based Drug Delivery (13 papers), Iron and Steelmaking Processes (8 papers), Lignin and Wood Chemistry (7 papers), Nanoparticles: synthesis and applications (7 papers), Graphene research and applications (7 papers) and Supramolecular Self-Assembly in Materials (7 papers). The work is most often cited by research in Biomaterials (704 citations), Biomedical Engineering (2.2k citations) and Materials Chemistry (1.9k citations). Liang Wang has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yuan Chen, E. T. Kang, K. G. Neoh, Rongrong Jiang, Jun Wei, Jianliang Zhang, Borys Shuter, Yingbo Dong, Hai Lin and Yinhai He. Their work appears in journals such as Angewandte Chemie International Edition, Nano Letters and Biomaterials.
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.