Andrew Wan
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Daniel DuckworthKen GoldbergPieter AbbeelStephen D. MillerXiaoyu FuJur van den BergYixin ChenRocco A. Servedio
- Topics
- Machine Learning and Algorithms (12 papers)Complexity and Algorithms in Graphs (12 papers)Cryptography and Data Security (6 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Andrew Wan
19 papers receiving 330 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 143
- Computational Theory and Mathematics 98
- Biomedical Engineering 89
- Control and Systems Engineering 85
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Andrew Wan
This map shows the geographic impact of Andrew Wan'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 Andrew Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Wan more than expected).
Fields of papers citing papers by Andrew Wan
This network shows the impact of papers produced by Andrew Wan. 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 Andrew Wan. The network helps show where Andrew Wan may publish in the future.
Co-authorship network of co-authors of Andrew Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Wan. A scholar is included among the top collaborators of Andrew Wan 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 Andrew Wan. Andrew Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | Real Analysis in Computer Science: A collection of Open Problems | 3 |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | Hard Instances for Satisfiability and Quasi-one-way Functions | 2 |
| 10 | Mansour's Conjecture is True for Random DNF Formulas | 10 |
| 11 | 1 | |
| 12 | Learning, cryptography, and the average case | 2 |
| 13 | 168 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 44 | |
| 19 | 56 | |
| 20 | 10 |
About Andrew Wan
Andrew Wan is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 21 papers that have together received 348 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (12 papers), Complexity and Algorithms in Graphs (12 papers) and Cryptography and Data Security (6 papers). The work is most often cited by research in Computational Theory and Mathematics (98 citations), Artificial Intelligence (143 citations) and Control and Systems Engineering (85 citations). Andrew Wan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Daniel Duckworth, Ken Goldberg, Pieter Abbeel, Stephen D. Miller, Xiaoyu Fu, Jur van den Berg, Yixin Chen, Rocco A. Servedio, Homin K. Lee and Ilias Diakonikolas. Their work appears in journals such as BMC Bioinformatics, Machine Learning and Lecture notes in computer science.
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.