Guanting Dong
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
Papers in
-
- Topic Modeling 22
- Natural Language Processing Techniques 14
- Speech and dialogue systems 5
- Domain Adaptation and Few-Shot Learning 5
- Speech Recognition and Synthesis 3
- Semantic Web and Ontologies 2
- Anomaly Detection Techniques and Applications 2
-
- Web Data Mining and Analysis 2
- Co-authors
- Weiran Xu (6 shared papers)Weiran Xu (10 shared papers)Keqing He (7 shared papers)Gang Zhao (2 shared papers)Si Li (1 shared paper)Liwen Wang (4 shared papers)Zechen Wang (4 shared papers)Hongyi Yuan (1 shared paper)
- Journals
- Information Processing & Management (1 paper)Lecture notes in computer science (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Guanting Dong
24 papers receiving 161 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 129
- Health Informatics 3
- Experimental and Cognitive Psychology 13
- Computer Vision and Pattern Recognition 17
- Information Systems 17
Countries citing papers authored by Guanting Dong
This map shows the geographic impact of Guanting Dong'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 Guanting Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanting Dong more than expected).
Fields of papers citing papers by Guanting Dong
This network shows the impact of papers produced by Guanting Dong. 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 Guanting Dong. The network helps show where Guanting Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanting Dong, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 27 | |
| 2 | 2024 | 23 | |
| 3 | 2022 | 15 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2025 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Guanting Dong
Guanting Dong is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Political Science and International Relations, having authored 30 papers that have together received 166 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers), Speech and dialogue systems (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Speech Recognition and Synthesis (3 papers), Web Data Mining and Analysis (2 papers), Semantic Web and Ontologies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (129 citations), Health Informatics (3 citations), Experimental and Cognitive Psychology (13 citations), Computer Vision and Pattern Recognition (17 citations) and Information Systems (17 citations). Guanting Dong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weiran Xu, Weiran Xu, Keqing He, Gang Zhao, Si Li, Liwen Wang, Zechen Wang, Hongyi Yuan, Dayiheng Liu and Keming Lu. Their work appears in journals such as Information Processing & Management, Lecture notes in computer science and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.