Shijie Wang
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
Papers in
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- Topic Modeling 4
- Natural Language Processing Techniques 2
- Semantic Web and Ontologies 2
- Advanced Graph Neural Networks 2
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- Recommender Systems and Techniques 3
- Co-authors
- Wenqi Fan (7 shared papers)Qing Li (5 shared papers)Liang-Bo Ning (2 shared papers)Dawei Yin (2 shared papers)Hengyun Li (1 shared paper)Yujuan Ding (1 shared paper)Tat-Seng Chua (1 shared paper)Xinyu Ma (1 shared paper)
- Journals
- Geocarto International (1 paper)ACM Transactions on Information Systems (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)CityU Scholars (1 paper)arXiv (Cornell University) (1 paper)
In The Last Decade
Shijie Wang
8 papers receiving 327 citations
Shijie Wang's Hit Papers
Peers
Comparison fields: 5 of 59
- Health Informatics 7
- Artificial Intelligence 146
- Information Systems 68
- Information Systems and Management 9
- Computer Science Applications 7
Countries citing papers authored by Shijie Wang
This map shows the geographic impact of Shijie 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 Shijie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijie Wang more than expected).
Fields of papers citing papers by Shijie Wang
This network shows the impact of papers produced by Shijie 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 Shijie Wang. The network helps show where Shijie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shijie 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
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models Hit paper breakdown → | 2024 | 302 |
| 2 | 2025 | 11 | |
| 3 | 2025 | 9 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2025 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2026 | 0 |
About Shijie Wang
Shijie Wang is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Atmospheric Science and Social Psychology, having authored 9 papers that have together received 343 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Recommender Systems and Techniques (3 papers), Natural Language Processing Techniques (2 papers), Semantic Web and Ontologies (2 papers), Advanced Graph Neural Networks (2 papers), Mental Health via Writing (1 paper), Remote Sensing and Land Use (1 paper) and Land Use and Ecosystem Services (1 paper). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (146 citations), Information Systems (68 citations), Information Systems and Management (9 citations) and Computer Science Applications (7 citations). Shijie Wang has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Wenqi Fan, Qing Li, Liang-Bo Ning, Dawei Yin, Hengyun Li, Yujuan Ding, Tat-Seng Chua, Xinyu Ma, Yue Feng and Dawei Yin. Their work appears in journals such as Geocarto International, ACM Transactions on Information Systems, ACM Transactions on Intelligent Systems and Technology, CityU Scholars and arXiv (Cornell University).
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.