Alex Deng
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Statistical Methods in Clinical Trials 18
- Advanced Causal Inference Techniques 8
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 3
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- Optimal Experimental Design Methods 6
- Co-authors
- Ron KohaviYa XuToby WalkerRoger LongbothamXiaolin ShiJiannan LuE. Glen WeylEduardo M. Azevedo
- Journals
- Journal of Political Economy (1 paper)The American Statistician (1 paper)Telemedicine Journal and e-Health (1 paper)Statistics & Probability Letters (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Alex Deng
26 papers receiving 676 citations
Peers
Comparison fields: 5 of 71
- Statistics and Probability 243
- Computer Science Applications 130
- Software 52
- Management Science and Operations Research 129
- Information Systems 212
Countries citing papers authored by Alex Deng
This map shows the geographic impact of Alex Deng'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 Alex Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Deng more than expected).
Fields of papers citing papers by Alex Deng
This network shows the impact of papers produced by Alex Deng. 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 Alex Deng. The network helps show where Alex Deng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Deng, 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 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 8 | |
| 11 | 2017 | 13 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 3 | |
| 14 | 2015 | 18 | |
| 15 | 2015 | 2 | |
| 16 | 2015 | 23 | |
| 17 | 2014 | 15 | |
| 18 | 2014 | 99 | |
| 19 | 2013 | 188 | |
| 20 | 2012 | 122 |
About Alex Deng
Alex Deng is a scholar working on Statistics and Probability, Management Science and Operations Research, Computer Science Applications, Statistics, Probability and Uncertainty and Applied Psychology, having authored 29 papers that have together received 741 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (8 papers), Optimal Experimental Design Methods (6 papers), Statistical Methods and Inference (5 papers), Data Stream Mining Techniques (4 papers), Statistical Methods and Bayesian Inference (3 papers), Machine Learning and Data Classification (3 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Statistics and Probability (243 citations), Computer Science Applications (130 citations), Software (52 citations), Management Science and Operations Research (129 citations) and Information Systems (212 citations). Alex Deng has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Ron Kohavi, Ya Xu, Toby Walker, Roger Longbotham, Xiaolin Shi, Jiannan Lu, E. Glen Weyl, Eduardo M. Azevedo, Ulf Knoblich and José Luis Montiel Olea. Their work appears in journals such as Journal of Political Economy, The American Statistician, Telemedicine Journal and e-Health, Statistics & Probability Letters and arXiv (Cornell University).
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.