Long Duong
- Artificial Intelligence top 2%
- Topic Modeling 16
- Natural Language Processing Techniques 15
- Text Readability and Simplification 4
- Speech and dialogue systems 3
- Speech Recognition and Synthesis 2
- Information Systems top 10%
- Spam and Phishing Detection 1
- Expert finding and Q&A systems 1
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- Speech and Audio Processing 1
- Co-authors
- Steven BirdTrevor CohnPaul CookAntonios AnastasopoulosDavid ChiangHiroshi KanayamaTengfei MaMark Johnson
- Journals
- Ecological Informatics (1 paper)International Joint Conference on Natural Language Processing (1 paper)Meeting of the Association for Computational Linguistics (1 paper)
- Partner nations
- AustraliaUnited StatesCzechia
In The Last Decade
Long Duong
18 papers receiving 506 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 474
- Computer Vision and Pattern Recognition 125
- Information Systems 46
- Computational Mathematics 1
- Signal Processing 17
Countries citing papers authored by Long Duong
This map shows the geographic impact of Long Duong'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 Long Duong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Duong more than expected).
Fields of papers citing papers by Long Duong
This network shows the impact of papers produced by Long Duong. 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 Long Duong. The network helps show where Long Duong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Long Duong, 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 | 2024 | 1 | |
| 2 | 2019 | 4 | |
| 3 | 2018 | 17 | |
| 4 | 2017 | 25 | |
| 5 | 2017 | 21 | |
| 6 | 2016 | 12 | |
| 7 | 2016 | 59 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 80 | |
| 11 | 2015 | 219 | |
| 12 | 2015 | 27 | |
| 13 | 2015 | 27 | |
| 14 | Automatic Identification of Expressions of Locations in Tweet Messages using Conditional Random Fields | 2014 | 1 |
| 15 | 2014 | 18 | |
| 16 | 2014 | 17 | |
| 17 | Simpler unsupervised POS tagging with bilingual projections | 2013 | 14 |
| 18 | Increasing the Quality and Quantity of Source Language Data for Unsupervised Cross-Lingual POS Tagging | 2013 | 3 |
About Long Duong
Long Duong is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Oceanography and Nature and Landscape Conservation, having authored 18 papers that have together received 566 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers), Text Readability and Simplification (4 papers), Speech and dialogue systems (3 papers), Speech Recognition and Synthesis (2 papers), Spam and Phishing Detection (1 paper), Speech and Audio Processing (1 paper) and Expert finding and Q&A systems (1 paper). The work is most often cited by research in Artificial Intelligence (474 citations), Computer Vision and Pattern Recognition (125 citations), Information Systems (46 citations), Computational Mathematics (1 citation) and Signal Processing (17 citations). Long Duong has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include Steven Bird, Trevor Cohn, Paul Cook, Antonios Anastasopoulos, David Chiang, Hiroshi Kanayama, Tengfei Ma, Mark Johnson, Philip R. Cohen and Dominique Estival. Their work appears in journals such as Ecological Informatics, International Joint Conference on Natural Language Processing and Meeting of the Association for Computational Linguistics.
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.