Ming‐Wei Chang
- Artificial Intelligence top 0.01%
- Topic Modeling 49
- Natural Language Processing Techniques 45
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- Multimodal Machine Learning Applications 13
- Pharmaceutical Science top 0.2%
- Advanced Drug Delivery Systems 14
- Advancements in Transdermal Drug Delivery 13
- Biomaterials top 0.5%
- Electrospun Nanofibers in Biomedical Applications 49
- Information Systems top 0.1%
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- Electrohydrodynamics and Fluid Dynamics 43
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- Advanced Sensor and Energy Harvesting Materials 18
- Co-authors
- Kenton LeeKristina ToutanovaJacob DevlinZeeshan AhmadWen-tau YihJingsong LiChih‐Jen LinBing Chen
- Journals
- Chemical Engineering Journal (8 papers)Journal of Drug Delivery Science and Technology (8 papers)Pharmaceutics (5 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Ming‐Wei Chang
215 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Artificial Intelligence 16.5k
- Computer Vision and Pattern Recognition 4.2k
- Pharmaceutical Science 771
- Biomaterials 1.6k
- Information Systems 2.4k
Countries citing papers authored by Ming‐Wei Chang
This map shows the geographic impact of Ming‐Wei Chang'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 Ming‐Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Wei Chang more than expected).
Fields of papers citing papers by Ming‐Wei Chang
This network shows the impact of papers produced by Ming‐Wei Chang. 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 Ming‐Wei Chang. The network helps show where Ming‐Wei Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Wei Chang, 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 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 34 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 86 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 39 | |
| 11 | Retrieval Augmented Language Model Pre-Training | 2020 | 144 |
| 12 | 2018 | 8 | |
| 13 | Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory | 2017 | 5 |
| 14 | 2016 | 210 | |
| 15 | From Entity Linking to Question Answering – Recent Progress on Semantic Grounding Tasks | 2016 | 1 |
| 16 | 2013 | 2 | |
| 17 | Unified Expectation Maximization | 2012 | 23 |
| 18 | Driving Semantic Parsing from the World's Response | 2010 | 138 |
| 19 | Relation Alignment for Textual Entailment Recognition. | 2009 | 21 |
| 20 | Importance of semantic representation: dataless classification | 2008 | 145 |
About Ming‐Wei Chang
Ming‐Wei Chang is a scholar working on Biomaterials, Pharmaceutical Science, Artificial Intelligence, Surfaces, Coatings and Films and Biomedical Engineering, having authored 216 papers that have together received 23.2k indexed citations. Recurring topics across this work include Topic Modeling (49 papers), Electrospun Nanofibers in Biomedical Applications (49 papers), Natural Language Processing Techniques (45 papers), Electrohydrodynamics and Fluid Dynamics (43 papers), Advanced Sensor and Energy Harvesting Materials (18 papers), Advanced Drug Delivery Systems (14 papers), Multimodal Machine Learning Applications (13 papers) and Advancements in Transdermal Drug Delivery (13 papers). The work is most often cited by research in Artificial Intelligence (16.5k citations), Computer Vision and Pattern Recognition (4.2k citations), Pharmaceutical Science (771 citations), Biomaterials (1.6k citations) and Information Systems (2.4k citations). Ming‐Wei Chang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kenton Lee, Kristina Toutanova, Jacob Devlin, Zeeshan Ahmad, Wen-tau Yih, Jingsong Li, Chih‐Jen Lin, Bing Chen, Dan Roth and Xiaodong He. Their work appears in journals such as Chemical Engineering Journal, Journal of Drug Delivery Science and Technology, Pharmaceutics, RSC Advances and Materials Letters.
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.