Junwen Duan
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
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- Topic Modeling 15
- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 6
- Machine Learning in Healthcare 4
- Sentiment Analysis and Opinion Mining 4
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- Biomedical Text Mining and Ontologies 8
- Co-authors
- Xiao Ding (11 shared papers)Ting Liu (3 shared papers)Yue Zhang (1 shared paper)Ting Liu (2 shared papers)Min Li (3 shared papers)Yi Pan (1 shared paper)Jian‐Yun Nie (1 shared paper)Zhongyang Li (1 shared paper)
- Journals
- Big Data Mining and Analytics (3 papers)Science China Information Sciences (2 papers)Journal of Computational Biology (1 paper)Materials Research Express (1 paper)Journal of Materials Science (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junwen Duan
44 papers receiving 954 citations
Junwen Duan's Hit Papers
Peers
Comparison fields: 5 of 99
- Management Science and Operations Research 489
- Finance 210
- Artificial Intelligence 389
- Signal Processing 90
- Economics and Econometrics 182
Countries citing papers authored by Junwen Duan
This map shows the geographic impact of Junwen Duan'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 Junwen Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwen Duan more than expected).
Fields of papers citing papers by Junwen Duan
This network shows the impact of papers produced by Junwen Duan. 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 Junwen Duan. The network helps show where Junwen Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwen Duan, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning for event-driven stock prediction Hit paper breakdown → | 2015 | 344 |
| 2 | 2014 | 162 | |
| 3 | 2023 | 65 | |
| 4 | Knowledge-Driven Event Embedding for Stock Prediction | 2016 | 63 |
| 5 | 2023 | 55 | |
| 6 | 2015 | 55 | |
| 7 | 2019 | 41 | |
| 8 | 2023 | 26 | |
| 9 | 2015 | 20 | |
| 10 | 2024 | 19 | |
| 11 | 2023 | 18 | |
| 12 | Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction | 2018 | 16 |
| 13 | 1997 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2002 | 11 | |
| 17 | 2018 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2019 | 6 |
About Junwen Duan
Junwen Duan is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Information Systems and Electrical and Electronic Engineering, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Biomedical Text Mining and Ontologies (8 papers), Natural Language Processing Techniques (6 papers), Advanced Text Analysis Techniques (6 papers), Stock Market Forecasting Methods (4 papers), Machine Learning in Healthcare (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Management Science and Operations Research (489 citations), Finance (210 citations), Artificial Intelligence (389 citations), Signal Processing (90 citations) and Economics and Econometrics (182 citations). Junwen Duan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiao Ding, Ting Liu, Yue Zhang, Ting Liu, Yue Zhang, Min Li, Yue Zhang, Yi Pan, Jian‐Yun Nie and Ting Liu. Their work appears in journals such as Big Data Mining and Analytics, Science China Information Sciences, Journal of Computational Biology, Materials Research Express and Journal of Materials Science.
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.