Alex Wang
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
Papers in
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- Optical Coatings and Gratings 2
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- Topic Modeling 7
- Natural Language Processing Techniques 5
- Co-authors
- Amanpreet SinghFelix HillJulian MichaelSamuel BowmanOmer LevyAndy ZhouTeemu KoponenJarno Rajahalme
- Journals
- Nature Communications (1 paper)Frontiers in Immunology (1 paper)Immunogenetics (1 paper)The Journal of Physiology (1 paper)Toxicological Sciences (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Alex Wang
17 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 665
- Health Informatics 33
- Computer Networks and Communications 551
- Hardware and Architecture 129
Countries citing papers authored by Alex Wang
This map shows the geographic impact of Alex 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 Alex Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Wang more than expected).
Fields of papers citing papers by Alex Wang
This network shows the impact of papers produced by Alex 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 Alex Wang. The network helps show where Alex Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Wang, 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 | 2024 | 11 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 0 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 67 | |
| 13 | 2018 | 73 | |
| 14 | Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. | 2018 | 11 |
| 15 | GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Hit paper breakdown → | 2018 | 2366 |
| 16 | Clustering stable instances of euclidean k-means | 2017 | 6 |
| 17 | The design and implementation of open vSwitch Hit paper breakdown → | 2015 | 516 |
| 18 | 2015 | 52 | |
| 19 | 2006 | 17 |
About Alex Wang
Alex Wang is a scholar working on Surfaces, Coatings and Films, Artificial Intelligence, Microbiology, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), Photonic Crystals and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Thin-Film Transistor Technologies (2 papers), Optical Coatings and Gratings (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Artificial Intelligence (2.2k citations), Computer Vision and Pattern Recognition (665 citations), Health Informatics (33 citations), Computer Networks and Communications (551 citations) and Hardware and Architecture (129 citations). Alex Wang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Amanpreet Singh, Felix Hill, Julian Michael, Samuel Bowman, Omer Levy, Andy Zhou, Teemu Koponen, Jarno Rajahalme, Ethan J. Jackson and Martín Casado. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Immunogenetics, The Journal of Physiology and Toxicological Sciences.
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.