Linji Yang
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
-
- Advanced Photocatalysis Techniques 8
- TiO2 Photocatalysis and Solar Cells 4
-
- Stochastic processes and statistical mechanics 7
- Co-authors
- Eric Vigoda (8 shared papers)Daniel Štefankovič (4 shared papers)Yurong Liu (3 shared papers)Qiankun Song (3 shared papers)Andreas Galanis (3 shared papers)Tao Liu (10 shared papers)Shangfei Yao (6 shared papers)Bingsuo Zou (8 shared papers)
- Journals
- Neurocomputing (3 papers)Separation and Purification Technology (2 papers)Theoretical Computer Science (2 papers)Journal of Materials Chemistry C (2 papers)Random Structures and Algorithms (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Linji Yang
24 papers receiving 208 citations
Peers
Comparison fields: 5 of 47
- Statistics and Probability 61
- Mathematical Physics 49
- Computational Mathematics 3
- Renewable Energy, Sustainability and the Environment 36
- Polymers and Plastics 30
Countries citing papers authored by Linji Yang
This map shows the geographic impact of Linji Yang'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 Linji Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linji Yang more than expected).
Fields of papers citing papers by Linji Yang
This network shows the impact of papers produced by Linji Yang. 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 Linji Yang. The network helps show where Linji Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linji Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 40 | |
| 2 | 2022 | 25 | |
| 3 | 2016 | 22 | |
| 4 | 2024 | 19 | |
| 5 | 2012 | 18 | |
| 6 | 2012 | 15 | |
| 7 | 2007 | 9 | |
| 8 | 2025 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2006 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2012 | 2 |
About Linji Yang
Linji Yang is a scholar working on Renewable Energy, Sustainability and the Environment, Mathematical Physics, Statistics and Probability, Materials Chemistry and Artificial Intelligence, having authored 26 papers that have together received 213 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (8 papers), Advanced Photocatalysis Techniques (8 papers), Stochastic processes and statistical mechanics (7 papers), TiO2 Photocatalysis and Solar Cells (4 papers), Theoretical and Computational Physics (3 papers), Covalent Organic Framework Applications (3 papers), Conducting polymers and applications (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Statistics and Probability (61 citations), Mathematical Physics (49 citations), Computational Mathematics (3 citations), Renewable Energy, Sustainability and the Environment (36 citations) and Polymers and Plastics (30 citations). Linji Yang has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Eric Vigoda, Daniel Štefankovič, Yurong Liu, Qiankun Song, Andreas Galanis, Tao Liu, Shangfei Yao, Bingsuo Zou, Fuad E. Alsaadi and Erdong Chen. Their work appears in journals such as Neurocomputing, Separation and Purification Technology, Theoretical Computer Science, Journal of Materials Chemistry C and Random Structures and Algorithms.
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.