G Li
Impact in
- Signal Processing top 0.1%
- Data Management and Algorithms
- Computer Science Applications top 0.1%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Data Management and Algorithms 141
-
- Data Quality and Management 84
- Co-authors
- Jianhua Feng (114 shared papers)Jiannan Wang (25 shared papers)Nan Tang (49 shared papers)Yudian Zheng (19 shared papers)Haitao Yuan (13 shared papers)Chengliang Chai (40 shared papers)Lizhu Zhou (31 shared papers)Kian‐Lee Tan (16 shared papers)
- Journals
- Proceedings of the VLDB Endowment (56 papers)IEEE Transactions on Knowledge and Data Engineering (30 papers)The VLDB Journal (19 papers)Environmental Science & Technology (12 papers)Journal of Hazardous Materials (6 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
G Li
379 papers receiving 12.1k citations
G Li's Hit Papers
Peers
Comparison fields: 5 of 162
- Signal Processing 3.7k
- Computer Science Applications 1.6k
- Management Science and Operations Research 2.3k
- Computer Networks and Communications 3.6k
- Artificial Intelligence 4.9k
Countries citing papers authored by G Li
This map shows the geographic impact of G 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 G Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Li more than expected).
Fields of papers citing papers by G Li
This network shows the impact of papers produced by G 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 G Li. The network helps show where G Li may publish in the future.
Co-authors
The 25 scholars most cited alongside G 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 406 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Truth inference in crowdsourcing Hit paper breakdown → | 2017 | 326 |
| 2 | 2008 | 307 | |
| 3 | 2016 | 282 | |
| 4 | A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation Hit paper breakdown → | 2021 | 259 |
| 5 | 2016 | 230 | |
| 6 | 2019 | 219 | |
| 7 | 2015 | 191 | |
| 8 | 2019 | 179 | |
| 9 | 2019 | 167 | |
| 10 | 2019 | 167 | |
| 11 | 2018 | 165 | |
| 12 | 2013 | 163 | |
| 13 | 2015 | 161 | |
| 14 | 2018 | 156 | |
| 15 | 2014 | 155 | |
| 16 | 2015 | 150 | |
| 17 | 2007 | 141 | |
| 18 | 2011 | 138 | |
| 19 | 2009 | 128 | |
| 20 | 2015 | 128 |
About G Li
G Li is a scholar working on Signal Processing, Management Science and Operations Research, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 406 papers that have together received 12.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (141 papers), Advanced Database Systems and Queries (102 papers), Data Quality and Management (84 papers), Web Data Mining and Analysis (58 papers), Data Stream Mining Techniques (46 papers), Mobile Crowdsensing and Crowdsourcing (45 papers), Privacy-Preserving Technologies in Data (32 papers) and Mercury impact and mitigation studies (27 papers). The work is most often cited by research in Signal Processing (3.7k citations), Computer Science Applications (1.6k citations), Management Science and Operations Research (2.3k citations), Computer Networks and Communications (3.6k citations) and Artificial Intelligence (4.9k citations). G Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianhua Feng, Jiannan Wang, Nan Tang, Yudian Zheng, Haitao Yuan, Chengliang Chai, Lizhu Zhou, Kian‐Lee Tan, Xuanhe Zhou and Yuyu Luo. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, Environmental Science & Technology and Journal of Hazardous Materials.
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.