Chengkai Li
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Information Systems top 0.5%
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
-
- Topic Modeling 24
- Semantic Web and Ontologies 11
- Advanced Graph Neural Networks 11
-
- Data Management and Algorithms 28
- Co-authors
- Kevin Chen–Chuan Chang (10 shared papers)Naeemul Hassan (9 shared papers)Mark Tremayne (3 shared papers)Ihab F. Ilyas (4 shared papers)Cong Yu (11 shared papers)Jun Yang (7 shared papers)Fatma Taş Arslan (3 shared papers)Mitesh Patel (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Applied Surface Science (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Chengkai Li
91 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Signal Processing 578
- Information Systems 784
- Artificial Intelligence 1.0k
- Computer Networks and Communications 559
- Management Science and Operations Research 265
Countries citing papers authored by Chengkai Li
This map shows the geographic impact of Chengkai 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 Chengkai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengkai Li more than expected).
Fields of papers citing papers by Chengkai Li
This network shows the impact of papers produced by Chengkai 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 Chengkai Li. The network helps show where Chengkai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengkai 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 214 | |
| 2 | 2017 | 176 | |
| 3 | 2005 | 151 | |
| 4 | 2020 | 147 | |
| 5 | 2017 | 115 | |
| 6 | 2014 | 87 | |
| 7 | 2015 | 82 | |
| 8 | 2015 | 69 | |
| 9 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | 66 |
| 10 | 2010 | 55 | |
| 11 | 2020 | 50 | |
| 12 | 2013 | 42 | |
| 13 | 2006 | 41 | |
| 14 | 2011 | 30 | |
| 15 | 2014 | 28 | |
| 16 | 2017 | 26 | |
| 17 | 2007 | 25 | |
| 18 | 2024 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2014 | 22 |
About Chengkai Li
Chengkai Li is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (28 papers), Topic Modeling (24 papers), Advanced Database Systems and Queries (17 papers), Semantic Web and Ontologies (11 papers), Data Mining Algorithms and Applications (11 papers), Advanced Graph Neural Networks (11 papers), Data Quality and Management (9 papers) and Web Data Mining and Analysis (9 papers). The work is most often cited by research in Signal Processing (578 citations), Information Systems (784 citations), Artificial Intelligence (1.0k citations), Computer Networks and Communications (559 citations) and Management Science and Operations Research (265 citations). Chengkai Li has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kevin Chen–Chuan Chang, Naeemul Hassan, Mark Tremayne, Ihab F. Ilyas, Cong Yu, Jun Yang, Fatma Taş Arslan, Mitesh Patel, Zhen Zhang and Bin He. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, Applied Surface Science and Nano Letters.
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.