Lei Shi
- Information Systems top 1%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Network Security and Intrusion Detection (13 papers)Anomaly Detection Techniques and Applications (13 papers)Caching and Content Delivery (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature NeurosciencePLoS ONE
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lei Shi
163 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Information Systems 611
- Artificial Intelligence 509
- Computer Networks and Communications 419
- Cognitive Neuroscience 324
- Computer Vision and Pattern Recognition 295
Countries citing papers authored by Lei Shi
This map shows the geographic impact of Lei 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 Lei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Shi more than expected).
Fields of papers citing papers by Lei Shi
This network shows the impact of papers produced by Lei 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 Lei Shi. The network helps show where Lei Shi may publish in the future.
Co-authorship network of co-authors of Lei Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Shi. A scholar is included among the top collaborators of Lei Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Shi. Lei Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Detecting fake news by exploring the consistency of multimodal databreakdown → | 167 |
| 12 | 5 | |
| 13 | 21 | |
| 14 | Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization | 1 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | Research for humanity technology and physiology influence factors in product styling design | 2 |
| 18 | Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling | 50 |
| 19 | Personalization Recommendation System Based on Search Result | 0 |
| 20 | Web application analysis pattern based on recursive MVC structure | 1 |
About Lei Shi
Lei Shi is a scholar working on Human-Computer Interaction, Artificial Intelligence and Information Systems, having authored 189 papers that have together received 1.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (13 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Human-Computer Interaction (165 citations), Information Systems (611 citations) and Computer Networks and Communications (419 citations). Lei Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Sai Wu, Dawei Jiang, Beng Chin Ooi, Shiri Azenkot, Lin Wei, Junxiao Xue, Yafei Li, Yichen Tian, Yuhang Zhao and Thomas L. Griffiths. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and PLoS ONE.
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.