Gang Luo
Impact in
- Health Informatics top 5%
Papers in
-
- Machine Learning in Healthcare 9
- Semantic Web and Ontologies 7
-
- Advanced Database Systems and Queries 16
- Co-authors
- Jeffrey F. Naughton (11 shared papers)Curt J. Ellmann (10 shared papers)Chin-Yew Lin (2 shared papers)Xiaojiang Huang (2 shared papers)Zaiqing Nie (2 shared papers)Chunqiang Tang (9 shared papers)Bryan L. Stone (13 shared papers)Flory L. Nkoy (12 shared papers)
- Journals
- Journal of Medical Systems (7 papers)IEEE Access (4 papers)Journal of Medical Internet Research (3 papers)IET Generation Transmission & Distribution (3 papers)The Journal of Engineering (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Gang Luo
127 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 157
- Health Informatics 46
- Health Information Management 136
- Artificial Intelligence 691
- Signal Processing 203
- Computer Networks and Communications 335
Countries citing papers authored by Gang Luo
This map shows the geographic impact of Gang Luo'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 Gang Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Luo more than expected).
Fields of papers citing papers by Gang Luo
This network shows the impact of papers produced by Gang Luo. 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 Gang Luo. The network helps show where Gang Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang Luo, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 257 | |
| 2 | 2015 | 171 | |
| 3 | 2004 | 72 | |
| 4 | 2002 | 62 | |
| 5 | Challenges and experience in prototyping a multi-modal stream analytic and monitoring application on System S | 2007 | 61 |
| 6 | 2015 | 57 | |
| 7 | 2010 | 51 | |
| 8 | Proceedings of the 1st ACM International Health Informatics Symposium | 2010 | 44 |
| 9 | 2009 | 44 | |
| 10 | Joint Named Entity Recognition and Disambiguation | 2015 | 39 |
| 11 | 2015 | 37 | |
| 12 | 2022 | 35 | |
| 13 | 2017 | 35 | |
| 14 | 2005 | 34 | |
| 15 | 2020 | 32 | |
| 16 | 2013 | 32 | |
| 17 | 2003 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2015 | 30 | |
| 20 | 2008 | 30 |
About Gang Luo
Gang Luo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering and Health Information Management, having authored 141 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (16 papers), Data Management and Algorithms (10 papers), Biomedical Text Mining and Ontologies (10 papers), Electronic Health Records Systems (9 papers), Machine Learning in Healthcare (9 papers), Data Quality and Management (7 papers), Semantic Web and Ontologies (7 papers) and Power Systems and Renewable Energy (7 papers). The work is most often cited by research in Health Informatics (46 citations), Health Information Management (136 citations), Artificial Intelligence (691 citations), Signal Processing (203 citations) and Computer Networks and Communications (335 citations). Gang Luo has collaborated with scholars based in United States, China and India. Frequent co-authors include Jeffrey F. Naughton, Curt J. Ellmann, Chin-Yew Lin, Xiaojiang Huang, Zaiqing Nie, Chunqiang Tang, Bryan L. Stone, Flory L. Nkoy, Michael D. Johnson and Philip S. Yu. Their work appears in journals such as Journal of Medical Systems, IEEE Access, Journal of Medical Internet Research, IET Generation Transmission & Distribution and The Journal of 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.