Cong Shi
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- Caching and Content Delivery 8
- Signal Processing top 2%
- Speech and Audio Processing 9
- Information Systems top 2%
- User Authentication and Security Systems 6
- Human-Computer Interaction top 5%
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- CCD and CMOS Imaging Sensors 11
- Indoor and Outdoor Localization Technologies 10
- Advanced Memory and Neural Computing 6
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- Adversarial Robustness in Machine Learning 8
- Speech Recognition and Synthesis 7
- Co-authors
- Yingying ChenEllen ZeguraMostafa AmmarJian LiuHongbo LiuVasileios LakafosisMayur NaikZhuohang Li
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Mobile Computing (2 papers)Science China Information Sciences (2 papers)Electronics Letters (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Cong Shi
72 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Networks and Communications 735
- Signal Processing 282
- Computer Vision and Pattern Recognition 352
- Information Systems 344
- Human-Computer Interaction 75
Countries citing papers authored by Cong Shi
This map shows the geographic impact of Cong 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 Cong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Shi more than expected).
Fields of papers citing papers by Cong Shi
This network shows the impact of papers produced by Cong 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 Cong Shi. The network helps show where Cong Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cong 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 | 2024 | 5 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 52 | |
| 17 | 2020 | 16 | |
| 18 | 2013 | 2 | |
| 19 | 2012 | 1 | |
| 20 | 2006 | 3 |
About Cong Shi
Cong Shi is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (11 papers), Indoor and Outdoor Localization Technologies (10 papers), Speech and Audio Processing (9 papers), Adversarial Robustness in Machine Learning (8 papers), Caching and Content Delivery (8 papers), Speech Recognition and Synthesis (7 papers), Advanced Memory and Neural Computing (6 papers) and User Authentication and Security Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (735 citations), Signal Processing (282 citations), Computer Vision and Pattern Recognition (352 citations), Information Systems (344 citations) and Human-Computer Interaction (75 citations). Cong Shi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yingying Chen, Ellen Zegura, Mostafa Ammar, Jian Liu, Hongbo Liu, Vasileios Lakafosis, Mayur Naik, Zhuohang Li, Yi Xie and Bo Yuan. Their work appears in journals such as IEEE Transactions on Mobile Computing, Science China Information Sciences, Electronics Letters, Computer Communications and Silva Fennica.
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.