Charng‐Da Lu
Impact in
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- Distributed and Parallel Computing Systems
- Software System Performance and Reliability
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in ⓘ
-
- Distributed and Parallel Computing Systems 9
- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 4
- Software System Performance and Reliability 4
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- Cloud Computing and Resource Management 7
- Co-authors
- Daniel A. Reed (4 shared papers)Xin Chen (3 shared papers)Karthik Pattabiraman (3 shared papers)Celso L. Mendes (1 shared paper)Abani Patra (5 shared papers)Thomas R. Furlani (6 shared papers)Robert L. DeLeon (5 shared papers)Matthew D. Jones (6 shared papers)
- Journals
- Future Generation Computer Systems (1 paper)Concurrency and Computation Practice and Experience (1 paper)Procedia Computer Science (1 paper)Conference on High Performance Computing (Supercomputing) (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Charng‐Da Lu
15 papers receiving 328 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 323
- Hardware and Architecture 83
- Information Systems 210
- Information Systems and Management 42
- Software 23
Countries citing papers authored by Charng‐Da Lu
This map shows the geographic impact of Charng‐Da Lu'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 Charng‐Da Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charng‐Da Lu more than expected).
Fields of papers citing papers by Charng‐Da Lu
This network shows the impact of papers produced by Charng‐Da Lu. 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 Charng‐Da Lu. The network helps show where Charng‐Da Lu may publish in the future.
Co-authors
The 23 scholars most cited alongside Charng‐Da Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2014 | 49 | |
| 3 | 2005 | 38 | |
| 4 | 2005 | 37 | |
| 5 | 2005 | 35 | |
| 6 | 2012 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2013 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2002 | 15 | |
| 11 | 2013 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2002 | 5 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2013 | 0 |
About Charng‐Da Lu
Charng‐Da Lu is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management and Artificial Intelligence, having authored 16 papers that have together received 347 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (4 papers), Advanced Data Storage Technologies (4 papers), Software System Performance and Reliability (4 papers), Scientific Computing and Data Management (3 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Computer Networks and Communications (323 citations), Hardware and Architecture (83 citations), Information Systems (210 citations), Information Systems and Management (42 citations) and Software (23 citations). Charng‐Da Lu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Daniel A. Reed, Xin Chen, Karthik Pattabiraman, Celso L. Mendes, Abani Patra, Thomas R. Furlani, Robert L. DeLeon, Matthew D. Jones, Steven M. Gallo and James C. Browne. Their work appears in journals such as Future Generation Computer Systems, Concurrency and Computation Practice and Experience, Procedia Computer Science and Conference on High Performance Computing (Supercomputing).
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.