Ling Wang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
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- Topic Modeling 16
- Natural Language Processing Techniques 9
- Sentiment Analysis and Opinion Mining 5
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
- Video Surveillance and Tracking Methods 5
- Co-authors
- Chris Dyer (4 shared papers)Isabel Trancoso (6 shared papers)Silvio Amir (5 shared papers)Alan W. Black (2 shared papers)Phil Blunsom (2 shared papers)Dani Yogatama (2 shared papers)Tiago Luís (1 shared paper)Luís Marujo (1 shared paper)
- Journals
- Applied Sciences (6 papers)HortScience (5 papers)Sensors (5 papers)Sustainability (3 papers)International Journal of Environmental Research and Public Health (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ling Wang
94 papers receiving 1.7k citations
Ling Wang's Hit Papers
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 736
- Computer Vision and Pattern Recognition 246
- Pharmaceutical Science 62
- Media Technology 63
- Computer Science Applications 33
Countries citing papers authored by Ling Wang
This map shows the geographic impact of Ling 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 Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wang more than expected).
Fields of papers citing papers by Ling Wang
This network shows the impact of papers produced by Ling 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 Ling Wang. The network helps show where Ling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation Hit paper breakdown → | 2015 | 304 |
| 2 | 2017 | 163 | |
| 3 | 2011 | 127 | |
| 4 | 2000 | 97 | |
| 5 | 2015 | 94 | |
| 6 | 2015 | 82 | |
| 7 | 2016 | 71 | |
| 8 | 2011 | 59 | |
| 9 | 2007 | 53 | |
| 10 | 2018 | 52 | |
| 11 | 2018 | 41 | |
| 12 | 2021 | 31 | |
| 13 | 2011 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2013 | 28 | |
| 16 | 2015 | 25 | |
| 17 | 2020 | 23 | |
| 18 | Memory Architectures in Recurrent Neural Network Language Models | 2018 | 21 |
| 19 | 2023 | 21 | |
| 20 | 2019 | 20 |
About Ling Wang
Ling Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Experimental and Cognitive Psychology and Plant Science, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), EEG and Brain-Computer Interfaces (5 papers), Natural Products and Biological Research (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Artificial Intelligence (736 citations), Computer Vision and Pattern Recognition (246 citations), Pharmaceutical Science (62 citations), Media Technology (63 citations) and Computer Science Applications (33 citations). Ling Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Chris Dyer, Isabel Trancoso, Silvio Amir, Alan W. Black, Phil Blunsom, Dani Yogatama, Tiago Luís, Luís Marujo, Lu Wang and Lijuan Liu. Their work appears in journals such as Applied Sciences, HortScience, Sensors, Sustainability and International Journal of Environmental Research and Public Health.
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.