Maolin Tang
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Mobile Ad Hoc Networks
- Information Systems top 1%
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
Papers in
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- IoT and Edge/Fog Computing 21
- Software-Defined Networks and 5G 11
- Caching and Content Delivery 10
- Software System Performance and Reliability 7
- Distributed and Parallel Computing Systems 7
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- Cloud Computing and Resource Management 33
- Co-authors
- Xin Yao (1 shared paper)Yu‐Chu Tian (14 shared papers)Raymond Y.K. Lau (8 shared papers)Weizhe Zhang (3 shared papers)Yanming Feng (7 shared papers)Fares Alharbi (2 shared papers)Minrui Fei (1 shared paper)Colin Fidge (3 shared papers)
In The Last Decade
Maolin Tang
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 755
- Information Systems 666
- Artificial Intelligence 322
- Hardware and Architecture 49
- Management Information Systems 61
Countries citing papers authored by Maolin Tang
This map shows the geographic impact of Maolin Tang'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 Maolin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maolin Tang more than expected).
Fields of papers citing papers by Maolin Tang
This network shows the impact of papers produced by Maolin Tang. 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 Maolin Tang. The network helps show where Maolin Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Maolin Tang, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 118 | |
| 2 | 2009 | 100 | |
| 3 | 2010 | 94 | |
| 4 | 2018 | 94 | |
| 5 | 2012 | 70 | |
| 6 | 2005 | 53 | |
| 7 | 2010 | 44 | |
| 8 | 2008 | 42 | |
| 9 | 2012 | 36 | |
| 10 | 2008 | 34 | |
| 11 | 2016 | 29 | |
| 12 | 2014 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2010 | 25 | |
| 15 | 2010 | 25 | |
| 16 | 2016 | 24 | |
| 17 | 2023 | 22 | |
| 18 | 2009 | 21 | |
| 19 | 2013 | 20 | |
| 20 | An evolutionary learning approach for adaptive negotiation agents: Research Articles | 2006 | 19 |
About Maolin Tang
Maolin Tang is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 103 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (33 papers), IoT and Edge/Fog Computing (21 papers), Software-Defined Networks and 5G (11 papers), Caching and Content Delivery (10 papers), VLSI and FPGA Design Techniques (9 papers), Software System Performance and Reliability (7 papers), Distributed and Parallel Computing Systems (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). The work is most often cited by research in Computer Networks and Communications (755 citations), Information Systems (666 citations), Artificial Intelligence (322 citations), Hardware and Architecture (49 citations) and Management Information Systems (61 citations). Maolin Tang has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Xin Yao, Yu‐Chu Tian, Raymond Y.K. Lau, Weizhe Zhang, Yanming Feng, Fares Alharbi, Minrui Fei, Colin Fidge, Chen Peng and Erhan Kozan. Their work appears in journals such as Ocean Engineering, IEEE Access, Future Generation Computer Systems, ACS Applied Nano Materials and International Journal of Intelligent Systems.
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.