Chengkai Li
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 28
- Semantic Web and Ontologies 13
- Advanced Graph Neural Networks 13
-
- Web Data Mining and Analysis 11
- Data Mining Algorithms and Applications 11
- Co-authors
- Kevin Chen–Chuan Chang (10 shared papers)Wei Hu (4 shared papers)Naeemul Hassan (9 shared papers)Zequn Sun (2 shared papers)Mark Tremayne (3 shared papers)Ihab F. Ilyas (4 shared papers)Cong Yu (11 shared papers)Fatma Taş Arslan (3 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)Big Data (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Chengkai Li
99 papers receiving 2.4k citations
Chengkai Li's Hit Papers
Peers
Comparison fields: 5 of 92
- Signal Processing 700
- Artificial Intelligence 1.5k
- Information Systems 961
- Management Science and Operations Research 486
- Computer Networks and Communications 684
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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding Hit paper breakdown → | 2017 | 284 |
| 2 | 2004 | 250 | |
| 3 | 2017 | 209 | |
| 4 | 2005 | 201 | |
| 5 | 2020 | 167 | |
| 6 | 2017 | 140 | |
| 7 | 2015 | 107 | |
| 8 | 2014 | 101 | |
| 9 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | 74 |
| 10 | 2015 | 73 | |
| 11 | 2010 | 66 | |
| 12 | 2020 | 62 | |
| 13 | 2006 | 47 | |
| 14 | 2013 | 46 | |
| 15 | 2011 | 34 | |
| 16 | 2007 | 30 | |
| 17 | 2014 | 29 | |
| 18 | 2012 | 29 | |
| 19 | 2015 | 28 | |
| 20 | 2017 | 27 |
About Chengkai Li
Chengkai Li is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 107 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (30 papers), Topic Modeling (28 papers), Advanced Database Systems and Queries (18 papers), Misinformation and Its Impacts (13 papers), Semantic Web and Ontologies (13 papers), Advanced Graph Neural Networks (13 papers), Web Data Mining and Analysis (11 papers) and Data Mining Algorithms and Applications (11 papers). The work is most often cited by research in Signal Processing (700 citations), Artificial Intelligence (1.5k citations), Information Systems (961 citations), Management Science and Operations Research (486 citations) and Computer Networks and Communications (684 citations). Chengkai Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kevin Chen–Chuan Chang, Wei Hu, Naeemul Hassan, Zequn Sun, Mark Tremayne, Ihab F. Ilyas, Cong Yu, Fatma Taş Arslan, Jun Yang and Mitesh Patel. 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, Big Data and Journal of Virology.
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.