Ming-Ling Lo
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Constraint Satisfaction and Optimization
Papers in
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- Advanced Database Systems and Queries 8
- Caching and Content Delivery 3
- Distributed systems and fault tolerance 3
- Advanced Data Storage Technologies 3
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- Data Management and Algorithms 9
- Co-authors
- Chinya V. Ravishankar (9 shared papers)Yuan‐Chi Chang (3 shared papers)John R. Smith (3 shared papers)Chung‐Sheng Li (2 shared papers)Lawrence D. Bergman (2 shared papers)Vittorio Castelli (2 shared papers)Philip S. Yu (4 shared papers)Ming-Syan Chen⋆ (4 shared papers)
- Journals
- ACM SIGMOD Record (4 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Conference of the Centre for Advanced Studies on Collaborative Research (1 paper)Very Large Data Bases (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ming-Ling Lo
16 papers receiving 645 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 618
- Computer Networks and Communications 498
- Geography, Planning and Development 80
- Computer Graphics and Computer-Aided Design 46
- Information Systems 176
Countries citing papers authored by Ming-Ling Lo
This map shows the geographic impact of Ming-Ling Lo'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 Ming-Ling Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Ling Lo more than expected).
Fields of papers citing papers by Ming-Ling Lo
This network shows the impact of papers produced by Ming-Ling Lo. 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 Ming-Ling Lo. The network helps show where Ming-Ling Lo may publish in the future.
Co-authors
The 12 scholars most cited alongside Ming-Ling Lo, 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 | 1996 | 149 | |
| 2 | 2000 | 140 | |
| 3 | 1994 | 110 | |
| 4 | 2000 | 89 | |
| 5 | Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins | 1992 | 56 |
| 6 | 1996 | 47 | |
| 7 | 1993 | 31 | |
| 8 | 1994 | 25 | |
| 9 | 1998 | 12 | |
| 10 | 1995 | 12 | |
| 11 | 2002 | 5 | |
| 12 | 1993 | 3 | |
| 13 | A concurrency control protocol for nested transactions | 1992 | 1 |
| 14 | 2002 | 1 | |
| 15 | 2002 | 1 | |
| 16 | 2000 | 1 |
About Ming-Ling Lo
Ming-Ling Lo is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 16 papers that have together received 683 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (8 papers), Algorithms and Data Compression (7 papers), Caching and Content Delivery (3 papers), Distributed systems and fault tolerance (3 papers), Graph Theory and Algorithms (3 papers), Advanced Data Storage Technologies (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Signal Processing (618 citations), Computer Networks and Communications (498 citations), Geography, Planning and Development (80 citations), Computer Graphics and Computer-Aided Design (46 citations) and Information Systems (176 citations). Ming-Ling Lo has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Chinya V. Ravishankar, Yuan‐Chi Chang, John R. Smith, Chung‐Sheng Li, Lawrence D. Bergman, Vittorio Castelli, Philip S. Yu, Ming-Syan Chen⋆, Honesty C. Young and P.S. Yu. Their work appears in journals such as ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, Conference of the Centre for Advanced Studies on Collaborative Research and Very Large Data Bases.
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.