Jiannan Wang
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
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- Data Quality and Management
Papers in
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- Privacy-Preserving Technologies in Data 12
- Data Stream Mining Techniques 11
- Machine Learning and Data Classification 9
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- Data Quality and Management 28
- Co-authors
- Jianhua Feng (15 shared papers)Guoliang Li (20 shared papers)Michael J. Franklin (11 shared papers)Sanjay Krishnan (9 shared papers)Tim Kraska (6 shared papers)Yudian Zheng (8 shared papers)Eugene Wu (14 shared papers)Xu Chu (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (16 papers)Frontiers in Microbiology (2 papers)The VLDB Journal (1 paper)Biochemical Engineering Journal (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jiannan Wang
65 papers receiving 2.7k citations
Jiannan Wang's Hit Papers
Peers
Comparison fields: 5 of 139
- Computer Science Applications 621
- Management Science and Operations Research 1.3k
- Signal Processing 591
- Artificial Intelligence 1.6k
- Information Systems 757
Countries citing papers authored by Jiannan Wang
This map shows the geographic impact of Jiannan Wang'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 Jiannan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiannan Wang more than expected).
Fields of papers citing papers by Jiannan Wang
This network shows the impact of papers produced by Jiannan Wang. 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 Jiannan Wang. The network helps show where Jiannan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiannan Wang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CrowdER Hit paper breakdown → | 2012 | 346 |
| 2 | Data Cleaning Hit paper breakdown → | 2016 | 290 |
| 3 | 2016 | 209 | |
| 4 | 2016 | 156 | |
| 5 | 2012 | 143 | |
| 6 | 2015 | 143 | |
| 7 | 2011 | 122 | |
| 8 | 2011 | 95 | |
| 9 | 2010 | 89 | |
| 10 | 2011 | 82 | |
| 11 | 2014 | 78 | |
| 12 | 2019 | 76 | |
| 13 | 2017 | 67 | |
| 14 | 2020 | 66 | |
| 15 | 2014 | 60 | |
| 16 | 2021 | 59 | |
| 17 | 2014 | 56 | |
| 18 | 2016 | 46 | |
| 19 | 2011 | 42 | |
| 20 | 2008 | 42 |
About Jiannan Wang
Jiannan Wang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Signal Processing and Computer Networks and Communications, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Quality and Management (28 papers), Data Management and Algorithms (16 papers), Web Data Mining and Analysis (14 papers), Privacy-Preserving Technologies in Data (12 papers), Data Stream Mining Techniques (11 papers), Advanced Database Systems and Queries (10 papers), Mobile Crowdsensing and Crowdsourcing (10 papers) and Machine Learning and Data Classification (9 papers). The work is most often cited by research in Computer Science Applications (621 citations), Management Science and Operations Research (1.3k citations), Signal Processing (591 citations), Artificial Intelligence (1.6k citations) and Information Systems (757 citations). Jiannan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianhua Feng, Guoliang Li, Michael J. Franklin, Sanjay Krishnan, Tim Kraska, Yudian Zheng, Eugene Wu, Xu Chu, Ihab F. Ilyas and Guoliang Li. Their work appears in journals such as Proceedings of the VLDB Endowment, Frontiers in Microbiology, The VLDB Journal, Biochemical Engineering Journal and IEEE Transactions on Knowledge and Data Engineering.
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.