Yang Deng
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Information Systems top 2%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
Papers in
-
- Topic Modeling 42
- Natural Language Processing Techniques 13
- Speech and dialogue systems 12
- Advanced Text Analysis Techniques 10
- Sentiment Analysis and Opinion Mining 6
- Advanced Graph Neural Networks 6
-
- Expert finding and Q&A systems 9
- Recommender Systems and Techniques 8
Yang Deng
60 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 945
- Information Systems 286
- General Social Sciences 29
- Computer Vision and Pattern Recognition 91
- Management Science and Operations Research 55
Countries citing papers authored by Yang Deng
This map shows the geographic impact of Yang Deng'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 Yang Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Deng more than expected).
Fields of papers citing papers by Yang Deng
This network shows the impact of papers produced by Yang Deng. 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 Yang Deng. The network helps show where Yang Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Deng, 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 | 2025 | 5 | |
| 3 | 2024 | 42 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 26 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 40 | |
| 15 | A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges Hit paper breakdown → | 2022 | 237 |
| 16 | 2021 | 129 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 8 | |
| 19 | 2018 | 4 | |
| 20 | Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge | 2018 | 16 |
About Yang Deng
Yang Deng is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics and General Social Sciences, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (42 papers), Natural Language Processing Techniques (13 papers), Speech and dialogue systems (12 papers), Advanced Text Analysis Techniques (10 papers), Expert finding and Q&A systems (9 papers), Recommender Systems and Techniques (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Artificial Intelligence (945 citations), Information Systems (286 citations), General Social Sciences (29 citations), Computer Vision and Pattern Recognition (91 citations) and Management Science and Operations Research (55 citations). Yang Deng has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Wai Lam, Lidong Bing, Xin Li, Wenxuan Zhang, Wenxuan Zhang, Yaliang Li, Ying Shen, Bolin Ding, Yifei Yuan and Mani Hossein‐Zadeh. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Access, Optics Letters and Optics Express.
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.