Ling Shi
- Computer Networks and Communications top 0.05%
- Distributed Sensor Networks and Detection Algorithms 118
- Distributed Control Multi-Agent Systems 54
- Energy Efficient Wireless Sensor Networks 47
- Security in Wireless Sensor Networks 31
- Control and Systems Engineering top 0.05%
- Stability and Control of Uncertain Systems 93
- Smart Grid Security and Resilience 54
- Fault Detection and Control Systems 40
- Artificial Intelligence top 0.2%
- Target Tracking and Data Fusion in Sensor Networks 67
- Hardware and Architecture top 2%
Ling Shi
321 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Networks and Communications 7.3k
- Control and Systems Engineering 6.7k
- Artificial Intelligence 2.6k
- Hardware and Architecture 366
- Electrical and Electronic Engineering 1.8k
Countries citing papers authored by Ling Shi
This map shows the geographic impact of Ling Shi'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 Ling Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Shi more than expected).
Fields of papers citing papers by Ling Shi
This network shows the impact of papers produced by Ling Shi. 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 Ling Shi. The network helps show where Ling Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling Shi, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 25 | |
| 16 | 2022 | 0 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 11 | |
| 19 | 2018 | 72 | |
| 20 | 2017 | 105 |
About Ling Shi
Ling Shi is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 350 papers that have together received 10.2k indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (118 papers), Stability and Control of Uncertain Systems (93 papers), Target Tracking and Data Fusion in Sensor Networks (67 papers), Distributed Control Multi-Agent Systems (54 papers), Smart Grid Security and Resilience (54 papers), Energy Efficient Wireless Sensor Networks (47 papers), Fault Detection and Control Systems (40 papers) and Security in Wireless Sensor Networks (31 papers). The work is most often cited by research in Computer Networks and Communications (7.3k citations), Control and Systems Engineering (6.7k citations) and Artificial Intelligence (2.6k citations). Ling Shi has collaborated with scholars based in Hong Kong, China and Sweden. Frequent co-authors include Peng Cheng, Jiming Chen, Dawei Shi, Karl Henrik Johansson, Yuzhe Li, Daniel E. Quevedo, Heng Zhang, Subhrakanti Dey, Ziyang Guo and Tongwen Chen. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control of Network Systems, IEEE Transactions on Signal Processing and IEEE Control Systems Letters.
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.