Pu Li
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Information Systems top 10%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
Papers in
-
- Advanced Graph Neural Networks 12
- Topic Modeling 10
- Semantic Web and Ontologies 7
-
- Recommender Systems and Techniques 9
- Co-authors
- Yanbu Guo (3 shared papers)Jinde Cao (1 shared paper)Chaoyang Li (1 shared paper)Dongming Zhou (1 shared paper)David Bodoff (1 shared paper)Suzhi Zhang (11 shared papers)Yuncheng Jiang (5 shared papers)Yong Tang (4 shared papers)
- Journals
- International Journal on Semantic Web and Information Systems (3 papers)Engineering Applications of Artificial Intelligence (2 papers)Applied Sciences (2 papers)Electronics (2 papers)ACM Transactions on Information Systems (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pu Li
35 papers receiving 310 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 167
- Information Systems 98
- Computer Vision and Pattern Recognition 57
- Computer Science Applications 12
- Media Technology 17
Countries citing papers authored by Pu Li
This map shows the geographic impact of Pu 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 Pu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Li more than expected).
Fields of papers citing papers by Pu Li
This network shows the impact of papers produced by Pu 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 Pu Li. The network helps show where Pu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2007 | 36 | |
| 3 | 2023 | 30 | |
| 4 | 2017 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2014 | 9 | |
| 10 | 2013 | 8 | |
| 11 | 2017 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2020 | 3 |
About Pu Li
Pu Li is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Molecular Biology, having authored 43 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (12 papers), Topic Modeling (10 papers), Recommender Systems and Techniques (9 papers), Semantic Web and Ontologies (7 papers), Image and Object Detection Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Rough Sets and Fuzzy Logic (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Information Systems (98 citations), Computer Vision and Pattern Recognition (57 citations), Computer Science Applications (12 citations) and Media Technology (17 citations). Pu Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanbu Guo, Jinde Cao, Chaoyang Li, Dongming Zhou, David Bodoff, Suzhi Zhang, Yuncheng Jiang, Yong Tang, Yazhou Zhang and Boi Faltings. Their work appears in journals such as International Journal on Semantic Web and Information Systems, Engineering Applications of Artificial Intelligence, Applied Sciences, Electronics and ACM Transactions on Information Systems.
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.