Duantengchuan Li
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 7
- Topic Modeling 4
- Information Systems top 5%
- Recommender Systems and Techniques 9
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- Visual Attention and Saliency Detection 2
- Face and Expression Recognition 2
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- Complex Network Analysis Techniques 4
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- IoT and Edge/Fog Computing 2
- Caching and Content Delivery 2
- Co-authors
- Ke LinZhaoli ZhangNaixue XiongHai LiuXiaoxuan ShenJiazhang WangZhen ZhangZhifei Li
- Journals
- Information Processing & Management (5 papers)Information Sciences (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Duantengchuan Li
17 papers receiving 532 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 311
- Information Systems 191
- Computer Vision and Pattern Recognition 171
- Computational Mathematics 2
- Human-Computer Interaction 18
Countries citing papers authored by Duantengchuan Li
This map shows the geographic impact of Duantengchuan Li'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 Duantengchuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duantengchuan Li more than expected).
Fields of papers citing papers by Duantengchuan Li
This network shows the impact of papers produced by Duantengchuan Li. 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 Duantengchuan Li. The network helps show where Duantengchuan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Duantengchuan Li, 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 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 39 | |
| 11 | 2023 | 27 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 8 | |
| 17 | EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender Systembreakdown → | 2021 | 178 |
| 18 | 2021 | 107 | |
| 19 | 2021 | 68 |
About Duantengchuan Li
Duantengchuan Li is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 19 papers that have together received 541 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Advanced Graph Neural Networks (7 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers), IoT and Edge/Fog Computing (2 papers), Visual Attention and Saliency Detection (2 papers), Face and Expression Recognition (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Artificial Intelligence (311 citations), Information Systems (191 citations) and Computer Vision and Pattern Recognition (171 citations). Duantengchuan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ke Lin, Zhaoli Zhang, Naixue Xiong, Hai Liu, Xiaoxuan Shen, Jiazhang Wang, Zhen Zhang, Zhifei Li, Bing Li and Jian Wang. Their work appears in journals such as Information Processing & Management, Information Sciences, Neurocomputing, IEEE Transactions on Services Computing and Biomedical Signal Processing and Control.
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.