Liangjun Wang
Impact in
- Catalysis top 10%
- Catalysts for Methane Reforming
- Process Chemistry and Technology top 10%
Papers in ⓘ
- 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)Lingling Xu (2 shared papers)
- Journals
- Nanoscale (4 papers)Journal of Petroleum Science and Engineering (4 papers)RSC Advances (4 papers)Neurocomputing (3 papers)Journal of Materials Chemistry A (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Liangjun Wang
94 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 117
- Catalysis 127
- Process Chemistry and Technology 47
- Renewable Energy, Sustainability and the Environment 235
- Electrical and Electronic Engineering 818
- Electronic, Optical and Magnetic Materials 247
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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 103 | |
| 2 | 2017 | 99 | |
| 3 | 2015 | 88 | |
| 4 | 2016 | 77 | |
| 5 | 2017 | 70 | |
| 6 | Advances in Theory and Application of Compressed Sensing | 2009 | 70 |
| 7 | 2015 | 62 | |
| 8 | 2017 | 59 | |
| 9 | 2016 | 53 | |
| 10 | 2016 | 50 | |
| 11 | 2014 | 45 | |
| 12 | 2020 | 43 | |
| 13 | 2015 | 42 | |
| 14 | 2016 | 41 | |
| 15 | 2012 | 36 | |
| 16 | 2017 | 34 | |
| 17 | 2018 | 28 | |
| 18 | 2021 | 28 | |
| 19 | 2004 | 27 | |
| 20 | 2018 | 27 |
About Liangjun Wang
Liangjun Wang is a scholar working on Computational Mathematics, General Decision Sciences, Computer Vision and Pattern Recognition, Geology and Paleontology, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advancements in Battery Materials (11 papers), Hydrocarbon exploration and reservoir analysis (10 papers), Advanced Battery Materials and Technologies (10 papers), Face and Expression Recognition (10 papers), Sparse and Compressive Sensing Techniques (8 papers), Quantum Dots Synthesis And Properties (6 papers), Paleontology and Stratigraphy of Fossils (6 papers) and Advanced battery technologies research (5 papers). The work is most often cited by research in Catalysis (127 citations), Process Chemistry and Technology (47 citations), Renewable Energy, Sustainability and the Environment (235 citations), Electrical and Electronic Engineering (818 citations) and Electronic, Optical and Magnetic Materials (247 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, Lingling Xu, Lili Gong and Qirong Mao. Their work appears in journals such as Nanoscale, Journal of Petroleum Science and Engineering, RSC Advances, Neurocomputing and Journal of Materials Chemistry A.
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.