Dunlu Peng
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Text and Document Classification Technologies
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- Generative Adversarial Networks and Image Synthesis
Papers in
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- Topic Modeling 11
- Advanced Graph Neural Networks 8
- Text and Document Classification Technologies 7
- Natural Language Processing Techniques 6
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- Recommender Systems and Techniques 12
- Service-Oriented Architecture and Web Services 8
- Web Data Mining and Analysis 4
- Co-authors
- Cong Liu (5 shared papers)Cong Liu (3 shared papers)Wuchen Yang (1 shared paper)Jianping Lu (2 shared papers)Yongsheng Zhang (1 shared paper)Lei Wang (1 shared paper)Wenjia Peng (2 shared papers)Chunxue Wu (2 shared papers)
- Journals
- Expert Systems with Applications (7 papers)IEEE Access (4 papers)Applied Soft Computing (4 papers)Engineering Applications of Artificial Intelligence (3 papers)Information Systems Frontiers (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Dunlu Peng
47 papers receiving 440 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 210
- Computer Vision and Pattern Recognition 115
- Information Systems 112
- Building and Construction 36
- Signal Processing 23
Countries citing papers authored by Dunlu Peng
This map shows the geographic impact of Dunlu Peng'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 Dunlu Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dunlu Peng more than expected).
Fields of papers citing papers by Dunlu Peng
This network shows the impact of papers produced by Dunlu Peng. 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 Dunlu Peng. The network helps show where Dunlu Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dunlu Peng, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2015 | 33 | |
| 3 | 2019 | 28 | |
| 4 | 2020 | 26 | |
| 5 | 2023 | 22 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2009 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2020 | 8 |
About Dunlu Peng
Dunlu Peng is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 55 papers that have together received 451 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Topic Modeling (11 papers), Service-Oriented Architecture and Web Services (8 papers), Advanced Graph Neural Networks (8 papers), Text and Document Classification Technologies (7 papers), Natural Language Processing Techniques (6 papers), Web Data Mining and Analysis (4 papers) and Traffic Prediction and Management Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Computer Vision and Pattern Recognition (115 citations), Information Systems (112 citations), Building and Construction (36 citations) and Signal Processing (23 citations). Dunlu Peng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Cong Liu, Cong Liu, Wuchen Yang, Jianping Lu, Yongsheng Zhang, Lei Wang, Wenjia Peng, Chunxue Wu, Zhan Su and Jun Ai. Their work appears in journals such as Expert Systems with Applications, IEEE Access, Applied Soft Computing, Engineering Applications of Artificial Intelligence and Information Systems Frontiers.
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.