Liping Peng
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Management Science and Operations Research
- Co-authors
- Yanlei DiaoThanh T. L. TranBoduo LiCharles SuttonMichael ZinkAndrew McGregorAnna LiuOlga Papaemmanouil
- Topics
- Data Management and Algorithms (8 papers)Advanced Database Systems and Queries (7 papers)Data Stream Mining Techniques (4 papers)
- Journals
- Proceedings of the VLDB EndowmentThe VLDB JournalIEEE Data(base) Engineering Bulletin
- Partner nations
- United StatesFranceChina
In The Last Decade
Liping Peng
11 papers receiving 214 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 116
- Artificial Intelligence 112
- Signal Processing 98
- Information Systems 70
- Management Science and Operations Research 23
Countries citing papers authored by Liping Peng
This map shows the geographic impact of Liping Peng'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 Liping Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liping Peng more than expected).
Fields of papers citing papers by Liping Peng
This network shows the impact of papers produced by Liping Peng. 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 Liping Peng. The network helps show where Liping Peng may publish in the future.
Co-authorship network of co-authors of Liping Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Liping Peng. A scholar is included among the top collaborators of Liping Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liping Peng. Liping Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Runway - Model Lifecycle Management at Netflix | 1 |
| 3 | 18 | |
| 4 | 2 | |
| 5 | Interactive Data Exploration via Machine Learning Models. | 15 |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 29 | |
| 10 | 13 | |
| 11 | 15 | |
| 12 | 33 | |
| 13 | 4th Biennial Conference on Innovative Data Systems Research (CIDR) | 85 |
About Liping Peng
Liping Peng is a scholar working on Signal Processing, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 224 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (7 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Signal Processing (98 citations), Computer Networks and Communications (116 citations) and Artificial Intelligence (112 citations). Liping Peng has collaborated with scholars based in United States, France and China. Frequent co-authors include Yanlei Diao, Thanh T. L. Tran, Boduo Li, Charles Sutton, Michael Zink, Andrew McGregor, Anna Liu, Olga Papaemmanouil, Wenzhao Liu and Zhan Li. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal and IEEE Data(base) Engineering Bulletin.
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.