Huijia Lin
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Rafael PassAayush JainAmit SahaiStefano TessaroVinod VaikuntanathanRan CanettiAmr El AbbadiNir Bitansky
- Topics
- Cryptography and Data Security (21 papers)Complexity and Algorithms in Graphs (14 papers)Privacy-Preserving Technologies in Data (7 papers)
- Partner nations
- United StatesIsraelTaiwan
In The Last Decade
Huijia Lin
24 papers receiving 303 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 256
- Computational Theory and Mathematics 106
- Information Systems 87
- Computer Networks and Communications 75
- Electrical and Electronic Engineering 29
Countries citing papers authored by Huijia Lin
This map shows the geographic impact of Huijia Lin'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 Huijia Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huijia Lin more than expected).
Fields of papers citing papers by Huijia Lin
This network shows the impact of papers produced by Huijia Lin. 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 Huijia Lin. The network helps show where Huijia Lin may publish in the future.
Co-authorship network of co-authors of Huijia Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Huijia Lin. A scholar is included among the top collaborators of Huijia Lin 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 Huijia Lin. Huijia Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 43 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 29 | |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | The Computational Benefit of Correlated Instances. | 1 |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 15 | |
| 18 | 20 | |
| 19 | Concurrent Non-Malleable Commitments from One-way Functions | 3 |
| 20 | 41 |
About Huijia Lin
Huijia Lin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 25 papers that have together received 318 indexed citations. Recurring topics across this work include Cryptography and Data Security (21 papers), Complexity and Algorithms in Graphs (14 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Artificial Intelligence (256 citations), Computational Theory and Mathematics (106 citations) and Information Systems (87 citations). Huijia Lin has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Rafael Pass, Aayush Jain, Amit Sahai, Stefano Tessaro, Vinod Vaikuntanathan, Ran Canetti, Amr El Abbadi, Nir Bitansky, Leonidas Guibas and Nikola Milosavljević. Their work appears in journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.
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.