Ping Lü
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
Papers in
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- Advanced Graph Neural Networks 13
- Semantic Web and Ontologies 7
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- Caching and Content Delivery 9
- Advanced Database Systems and Queries 7
- Co-authors
- Wenfei Fan (27 shared papers)Chao Tian (8 shared papers)Wen Huang (1 shared paper)Xiangdong Ye (1 shared paper)Wenyuan Yu (5 shared papers)Chunming Hu (2 shared papers)Qiang Yin (7 shared papers)Haiming Chen (6 shared papers)
- Journals
- ACM Transactions on Database Systems (8 papers)Proceedings of the VLDB Endowment (5 papers)Information and Computation (2 papers)Thin-Walled Structures (2 papers)Theory of Computing Systems (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ping Lü
63 papers receiving 794 citations
Peers
Comparison fields: 5 of 89
- Management Science and Operations Research 155
- Artificial Intelligence 349
- Computer Vision and Pattern Recognition 187
- Information Systems 195
- Signal Processing 90
Countries citing papers authored by Ping Lü
This map shows the geographic impact of Ping Lü'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 Ping Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Lü more than expected).
Fields of papers citing papers by Ping Lü
This network shows the impact of papers produced by Ping Lü. 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 Ping Lü. The network helps show where Ping Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Lü, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 50 | |
| 2 | 2017 | 49 | |
| 3 | 2020 | 40 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 35 | |
| 6 | 2018 | 34 | |
| 7 | 2020 | 32 | |
| 8 | 2018 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2018 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2018 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2022 | 14 |
About Ping Lü
Ping Lü is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 69 papers that have together received 808 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (13 papers), Advanced Graph Neural Networks (13 papers), Data Quality and Management (11 papers), Caching and Content Delivery (9 papers), Blockchain Technology Applications and Security (8 papers), Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (7 papers) and Antenna Design and Analysis (6 papers). The work is most often cited by research in Management Science and Operations Research (155 citations), Artificial Intelligence (349 citations), Computer Vision and Pattern Recognition (187 citations), Information Systems (195 citations) and Signal Processing (90 citations). Ping Lü has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wenfei Fan, Chao Tian, Wen Huang, Xiangdong Ye, Wenyuan Yu, Chunming Hu, Qiang Yin, Haiming Chen, Wei Cao and Jingren Zhou. Their work appears in journals such as ACM Transactions on Database Systems, Proceedings of the VLDB Endowment, Information and Computation, Thin-Walled Structures and Theory of Computing 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.