Chunbin Lin
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Data Quality and Management
Papers in
-
- Data Management and Algorithms 18
-
- Advanced Database Systems and Queries 17
- Advanced Data Storage Technologies 3
- Co-authors
- Yannis Papakonstantinou (7 shared papers)Steven Swanson (4 shared papers)Jiaheng Lu (9 shared papers)Carlo Zaniolo (4 shared papers)Chen Li (3 shared papers)Jin Wang (4 shared papers)Jianguo Wang (1 shared paper)Wei Wang (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (4 papers)ACM Transactions on Database Systems (1 paper)Information Sciences (1 paper)The VLDB Journal (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Chunbin Lin
30 papers receiving 409 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 156
- Management Science and Operations Research 125
- Computer Networks and Communications 205
- Artificial Intelligence 225
- Information Systems 136
Countries citing papers authored by Chunbin Lin
This map shows the geographic impact of Chunbin Lin'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 Chunbin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunbin Lin more than expected).
Fields of papers citing papers by Chunbin Lin
This network shows the impact of papers produced by Chunbin Lin. 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 Chunbin Lin. The network helps show where Chunbin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunbin Lin, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 51 | |
| 2 | 2016 | 51 | |
| 3 | 2013 | 48 | |
| 4 | 2017 | 34 | |
| 5 | 2017 | 24 | |
| 6 | 2019 | 23 | |
| 7 | 2023 | 18 | |
| 8 | 2019 | 18 | |
| 9 | 2023 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2012 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2012 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2017 | 6 |
About Chunbin Lin
Chunbin Lin is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 30 papers that have together received 435 indexed citations. Recurring topics across this work include Data Management and Algorithms (18 papers), Advanced Database Systems and Queries (17 papers), Data Quality and Management (10 papers), Web Data Mining and Analysis (6 papers), Algorithms and Data Compression (5 papers), Cloud Computing and Resource Management (3 papers), Data Mining Algorithms and Applications (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Signal Processing (156 citations), Management Science and Operations Research (125 citations), Computer Networks and Communications (205 citations), Artificial Intelligence (225 citations) and Information Systems (136 citations). Chunbin Lin has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Yannis Papakonstantinou, Steven Swanson, Jiaheng Lu, Carlo Zaniolo, Chen Li, Jin Wang, Jianguo Wang, Wei Wang, Haiyong Wang and Jin Wang. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, Information Sciences, The VLDB Journal and Neurocomputing.
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.