Ming Ling
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
-
- Computational Drug Discovery Methods
Papers in
-
- Parallel Computing and Optimization Techniques 30
- VLSI and Analog Circuit Testing 8
- Embedded Systems Design Techniques 7
-
- Low-power high-performance VLSI design 13
- VLSI and FPGA Design Techniques 5
- Advancements in Semiconductor Devices and Circuit Design 4
- Co-authors
- Longxing Shi (18 shared papers)Jiansheng Wu (5 shared papers)Shidi Tang (9 shared papers)Haifeng Hu (4 shared papers)Ruiqi Chen (7 shared papers)Jianping Pan (3 shared papers)Jun Peng (1 shared paper)Kaiyang Liu (1 shared paper)
In The Last Decade
Ming Ling
49 papers receiving 402 citations
Peers
Comparison fields: 5 of 98
- Hardware and Architecture 103
- Computational Theory and Mathematics 74
- Computer Networks and Communications 97
- Human-Computer Interaction 12
- Electrical and Electronic Engineering 124
Countries citing papers authored by Ming Ling
This map shows the geographic impact of Ming Ling'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 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 more than expected).
Fields of papers citing papers by Ming Ling
This network shows the impact of papers produced by Ming Ling. 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. The network helps show where Ming Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ling, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2023 | 57 | |
| 3 | 2019 | 55 | |
| 4 | 2019 | 23 | |
| 5 | 2024 | 18 | |
| 6 | 2024 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2017 | 11 | |
| 9 | 2008 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2010 | 4 | |
| 20 | 2003 | 4 |
About Ming Ling
Ming Ling is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Control and Systems Engineering, having authored 60 papers that have together received 413 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (30 papers), Advanced Data Storage Technologies (16 papers), Low-power high-performance VLSI design (13 papers), Interconnection Networks and Systems (13 papers), VLSI and Analog Circuit Testing (8 papers), Embedded Systems Design Techniques (7 papers), VLSI and FPGA Design Techniques (5 papers) and Advancements in Semiconductor Devices and Circuit Design (4 papers). The work is most often cited by research in Hardware and Architecture (103 citations), Computational Theory and Mathematics (74 citations), Computer Networks and Communications (97 citations), Human-Computer Interaction (12 citations) and Electrical and Electronic Engineering (124 citations). Ming Ling has collaborated with scholars based in China, Canada and Belgium. Frequent co-authors include Longxing Shi, Jiansheng Wu, Shidi Tang, Haifeng Hu, Ruiqi Chen, Jianping Pan, Jun Peng, Kaiyang Liu, Liang He and Zhiwu Huang. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Access, Ecological Informatics, Journal of Systems Architecture and IEEE Transactions on Vehicular Technology.
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.