Andrew Wang

841 total citations
18 papers, 388 citations indexed

About

Andrew Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Andrew Wang has authored 18 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Andrew Wang's work include Topic Modeling (4 papers), Cloud Computing and Resource Management (4 papers) and Distributed and Parallel Computing Systems (3 papers). Andrew Wang is often cited by papers focused on Topic Modeling (4 papers), Cloud Computing and Resource Management (4 papers) and Distributed and Parallel Computing Systems (3 papers). Andrew Wang collaborates with scholars based in United States, Switzerland and United Kingdom. Andrew Wang's co-authors include Ion Stoica, Ali Ghodsi, Srikanth Kandula, Dhruba Borthakur, Scott Shenker, Ganesh Ananthanarayanan, Sara Alspaugh, Shivaram Venkataraman, Randy H. Katz and Samuel Madden and has published in prestigious journals such as Proceedings of the VLDB Endowment, The Computer Journal and Transactions of the Association for Computational Linguistics.

In The Last Decade

Andrew Wang

16 papers receiving 368 citations

Peers

Andrew Wang
Roshan Sumbaly United States
Stas Negara United States
Matthew Merzbacher United States
Daniel Ellard United States
Jan Waller Germany
Mats Skoglund Sweden
Ahmad Ghazal United States
Tony Savor Canada
Kostas Magoutis Greece
Roshan Sumbaly United States
Andrew Wang
Citations per year, relative to Andrew Wang Andrew Wang (= 1×) peers Roshan Sumbaly

Countries citing papers authored by Andrew Wang

Since Specialization
Citations

This map shows the geographic impact of Andrew Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Wang more than expected).

Fields of papers citing papers by Andrew Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Wang. 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 Wang. The network helps show where Andrew Wang may publish in the future.

Co-authorship network of co-authors of Andrew Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Wang. A scholar is included among the top collaborators of Andrew Wang 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 Wang. Andrew Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Andrew, et al.. (2023). Near Real-Time Social Distance Estimation In London. The Computer Journal. 67(1). 95–109. 1 indexed citations
2.
Wang, Andrew, et al.. (2023). Privacy preserving cold-start recommendation for out-of-matrix users via content baskets. International Journal of Data Science and Analytics. 16(2). 237–253. 2 indexed citations
3.
Wang, Andrew, et al.. (2023). Can Authorship Representation Learning Capture Stylistic Features?. Transactions of the Association for Computational Linguistics. 11. 1416–1431. 3 indexed citations
4.
Bian, Shijie, Kaveh Hassani, Andrew Wang, et al.. (2022). Material Prediction for Design Automation Using Graph Representation Learning. 4 indexed citations
5.
Wang, Andrew, et al.. (2022). Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 5717–5721. 5 indexed citations
6.
Boakye, Kofi, et al.. (2021). Bayes-Adaptive Interactive POMDPs. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1408–1414. 3 indexed citations
7.
Neuner, Burton, et al.. (2020). Oceanographic machine learning for free-space optical performance prediction. 7–7. 1 indexed citations
8.
9.
Wang, Andrew, et al.. (2020). Quantum Criticism: an Analysis of Political News Reporting. 7(2). 1–22. 1 indexed citations
10.
Neuner, Burton, et al.. (2018). Multi-Laser Optical Sensing Payload for Autonomous Undersea Platforms. 10186. 1–6. 1 indexed citations
11.
Ananthanarayanan, Ganesh, Ali Ghodsi, Andrew Wang, et al.. (2012). PACMan: coordinated memory caching for parallel jobs. Networked Systems Design and Implementation. 20–20. 218 indexed citations
12.
Wang, Andrew, Shivaram Venkataraman, Sara Alspaugh, Ion Stoica, & Randy H. Katz. (2012). Sweet storage SLOs with Frosting. 14–14. 8 indexed citations
13.
Wang, Andrew, Shivaram Venkataraman, Sara Alspaugh, Randy H. Katz, & Ion Stoica. (2012). Cake. 1–14. 76 indexed citations
14.
Chen, Yanpei, et al.. (2012). Big data and internships at Cloudera. XRDS Crossroads The ACM Magazine for Students. 19(1). 35–37. 1 indexed citations
15.
He, Xiaodong, Amittai Axelrod, Li Deng, et al.. (2011). The MSR SYSTEM for IWSLT 2011 evaluation.. IWSLT. 57–61. 3 indexed citations
16.
Franklin, Michael J., Donald Kossmann, Tim Kraska, et al.. (2011). CrowdDB. Proceedings of the VLDB Endowment. 4(12). 1387–1390. 48 indexed citations
17.
Franklin, Michael J., Donald Kossmann, Tim Kraska, et al.. (2011). CrowdDB: Query processing with the VLDB crowd. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations
18.
Nguyen‐Tuong, Anh, Andrew Wang, Jason D. Hiser, John Knight, & Jack W. Davidson. (2010). On the effectiveness of the metamorphic shield. 170–174. 7 indexed citations

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.

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2026