Liangjun Wang
Impact in
- Catalysis top 10%
- Catalysts for Methane Reforming
- Process Chemistry and Technology top 10%
Papers in
-
- Advancements in Battery Materials 11
- Advanced Battery Materials and Technologies 10
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- Face and Expression Recognition 13
- Co-authors
- Wei Chen (18 shared papers)Zhiyang Lyu (10 shared papers)Min Lai (6 shared papers)Zhaolin Liu (4 shared papers)Kaidi Yuan (6 shared papers)Jian Zhang (5 shared papers)Xiao Zhao (3 shared papers)Qirong Mao (10 shared papers)
- Journals
- RSC Advances (4 papers)Journal of Petroleum Science and Engineering (4 papers)Nanoscale (4 papers)Journal of Materials Chemistry A (3 papers)Neurocomputing (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Liangjun Wang
106 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Catalysis 130
- Process Chemistry and Technology 48
- Renewable Energy, Sustainability and the Environment 243
- Electrical and Electronic Engineering 834
- Electronic, Optical and Magnetic Materials 253
Countries citing papers authored by Liangjun Wang
This map shows the geographic impact of Liangjun 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 Liangjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangjun Wang more than expected).
Fields of papers citing papers by Liangjun Wang
This network shows the impact of papers produced by Liangjun 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 Liangjun Wang. The network helps show where Liangjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liangjun 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
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 105 | |
| 2 | 2017 | 100 | |
| 3 | 2015 | 90 | |
| 4 | 2016 | 78 | |
| 5 | Advances in Theory and Application of Compressed Sensing | 2009 | 75 |
| 6 | 2017 | 71 | |
| 7 | 2015 | 64 | |
| 8 | 2017 | 59 | |
| 9 | 2016 | 54 | |
| 10 | 2016 | 51 | |
| 11 | 2014 | 47 | |
| 12 | 2015 | 43 | |
| 13 | 2020 | 43 | |
| 14 | 2016 | 42 | |
| 15 | 2012 | 38 | |
| 16 | 2017 | 34 | |
| 17 | 2021 | 31 | |
| 18 | 2018 | 30 | |
| 19 | 2018 | 28 | |
| 20 | 2004 | 28 |
About Liangjun Wang
Liangjun Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Artificial Intelligence and Mechanics of Materials, having authored 110 papers that have together received 1.8k indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Advancements in Battery Materials (11 papers), Sparse and Compressive Sensing Techniques (10 papers), Advanced Battery Materials and Technologies (10 papers), Hydrocarbon exploration and reservoir analysis (9 papers), Quantum Dots Synthesis And Properties (6 papers), Paleontology and Stratigraphy of Fossils (6 papers) and Copper-based nanomaterials and applications (5 papers). The work is most often cited by research in Catalysis (130 citations), Process Chemistry and Technology (48 citations), Renewable Energy, Sustainability and the Environment (243 citations), Electrical and Electronic Engineering (834 citations) and Electronic, Optical and Magnetic Materials (253 citations). Liangjun Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Chen, Zhiyang Lyu, Min Lai, Zhaolin Liu, Kaidi Yuan, Jian Zhang, Xiao Zhao, Qirong Mao, Lingling Xu and Lili Gong. Their work appears in journals such as RSC Advances, Journal of Petroleum Science and Engineering, Nanoscale, Journal of Materials Chemistry A and Neurocomputing.
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.