Liangwei Yang
- Information Systems top 5%
- Recommender Systems and Techniques 17
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- Luminescence Properties of Advanced Materials 5
- Graphene research and applications 5
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- Complex Network Analysis Techniques 4
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 15
- Topic Modeling 9
- Radiation top 10%
- Radiation Detection and Scintillator Technologies 5
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- Perovskite Materials and Applications 4
- Journals
- Inorganic Chemistry (3 papers)Angewandte Chemie International Edition (2 papers)ACS Central Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liangwei Yang
48 papers receiving 923 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Information Systems 177
- Materials Chemistry 342
- Statistical and Nonlinear Physics 88
- Artificial Intelligence 221
- Radiation 55
Countries citing papers authored by Liangwei Yang
This map shows the geographic impact of Liangwei 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 Liangwei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangwei Yang more than expected).
Fields of papers citing papers by Liangwei Yang
This network shows the impact of papers produced by Liangwei 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 Liangwei Yang. The network helps show where Liangwei Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liangwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 85 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 0 | |
| 20 | 2019 | 54 |
About Liangwei Yang
Liangwei Yang is a scholar working on Information Systems, Artificial Intelligence, Radiation, Management Science and Operations Research and Materials Chemistry, having authored 60 papers that have together received 932 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Advanced Graph Neural Networks (15 papers), Topic Modeling (9 papers), Luminescence Properties of Advanced Materials (5 papers), Graphene research and applications (5 papers), Radiation Detection and Scintillator Technologies (5 papers), Complex Network Analysis Techniques (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Information Systems (177 citations), Materials Chemistry (342 citations), Statistical and Nonlinear Physics (88 citations), Artificial Intelligence (221 citations) and Radiation (55 citations). Liangwei Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Philip S. Yu, Zhiwei Liu, Ziwei Fan, Yaxing Wang, Hao Peng, Shuao Wang, Zhifang Chai, Hui Gao, Jin Zhang and Peng Liu. Their work appears in journals such as Inorganic Chemistry, Angewandte Chemie International Edition, ACS Central Science, Frontiers in Immunology and IEEE Transactions on Industrial Informatics.
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.