Yangning Li
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Advanced Graph Neural Networks
- Reinforcement Learning in Robotics
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 20
- Natural Language Processing Techniques 15
- Text Readability and Simplification 5
- Domain Adaptation and Few-Shot Learning 4
- Advanced Graph Neural Networks 3
- Semantic Web and Ontologies 2
-
- Data Quality and Management 5
- Co-authors
- Hai-Tao Zheng (29 shared papers)Yinghui Li (24 shared papers)Yinzhao Dong (1 shared paper)Chao Yu (1 shared paper)Qingyu Stephanie Zhou (8 shared papers)Ying Shen (8 shared papers)Yunbo Cao (5 shared papers)Shirong Ma (7 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Internet of Things Journal (1 paper)Electronics (1 paper)Knowledge-Based Systems (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yangning Li
31 papers receiving 217 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 161
- Computer Vision and Pattern Recognition 44
- Management Science and Operations Research 24
- Information Systems 30
- Health Informatics 1
Countries citing papers authored by Yangning Li
This map shows the geographic impact of Yangning Li'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 Yangning Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangning Li more than expected).
Fields of papers citing papers by Yangning Li
This network shows the impact of papers produced by Yangning Li. 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 Yangning Li. The network helps show where Yangning Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangning Li, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 31 | |
| 2 | 2022 | 25 | |
| 3 | 2024 | 19 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Yangning Li
Yangning Li is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Information Systems and Language and Linguistics, having authored 38 papers that have together received 221 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (15 papers), Text Readability and Simplification (5 papers), Data Quality and Management (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Graph Neural Networks (3 papers), Multimodal Machine Learning Applications (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (161 citations), Computer Vision and Pattern Recognition (44 citations), Management Science and Operations Research (24 citations), Information Systems (30 citations) and Health Informatics (1 citation). Yangning Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hai-Tao Zheng, Yinghui Li, Yinzhao Dong, Chao Yu, Qingyu Stephanie Zhou, Ying Shen, Yunbo Cao, Shirong Ma, Zhongli Li and Tianyu Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Internet of Things Journal, Electronics, 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.