Linyao Yang
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 7
- Advanced Graph Neural Networks 5
- Natural Language Processing Techniques 2
-
- Vehicular Ad Hoc Networks (VANETs) 3
- IoT Networks and Protocols 2
- Co-authors
- Xiao Wang (10 shared papers)Fei–Yue Wang (12 shared papers)Shuangshuang Han (4 shared papers)Hongyang Chen (2 shared papers)Xiao Ding (1 shared paper)Zhao Li (1 shared paper)Xindong Wu (1 shared paper)Yuke Li (2 shared papers)
- Journals
- IEEE Transactions on Computational Social Systems (3 papers)IEEE Internet of Things Journal (2 papers)IEEE/CAA Journal of Automatica Sinica (1 paper)Knowledge-Based Systems (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Linyao Yang
13 papers receiving 265 citations
Linyao Yang's Hit Papers
Peers
Comparison fields: 5 of 63
- Health Informatics 5
- Artificial Intelligence 111
- Ocean Engineering 35
- Transportation 14
- Computer Networks and Communications 46
Countries citing papers authored by Linyao Yang
This map shows the geographic impact of Linyao 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 Linyao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linyao Yang more than expected).
Fields of papers citing papers by Linyao Yang
This network shows the impact of papers produced by Linyao 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 Linyao Yang. The network helps show where Linyao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linyao 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 | Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling Hit paper breakdown → | 2024 | 86 |
| 2 | 2020 | 38 | |
| 3 | 2021 | 30 | |
| 4 | 2018 | 26 | |
| 5 | 2020 | 23 | |
| 6 | 2022 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges | 2025 | 0 |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 |
About Linyao Yang
Linyao Yang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Ocean Engineering and Safety, Risk, Reliability and Quality, having authored 17 papers that have together received 274 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Advanced Graph Neural Networks (5 papers), Data Quality and Management (4 papers), Evacuation and Crowd Dynamics (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Wireless Body Area Networks (2 papers), Natural Language Processing Techniques (2 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (111 citations), Ocean Engineering (35 citations), Transportation (14 citations) and Computer Networks and Communications (46 citations). Linyao Yang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Xiao Wang, Fei–Yue Wang, Shuangshuang Han, Hongyang Chen, Xiao Ding, Zhao Li, Xindong Wu, Yuke Li, Tingting Yao and Lingxi Li. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Internet of Things Journal, IEEE/CAA Journal of Automatica Sinica, Knowledge-Based Systems 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.