Na Mou
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
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- Image and Video Quality Assessment
- Image Retrieval and Classification Techniques
Papers in
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- Recommender Systems and Techniques 6
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- Image Retrieval and Classification Techniques 3
- Co-authors
- Guorui Zhou (2 shared papers)Weijie Bian (2 shared papers)Kun Gai (2 shared papers)Ying Fan (1 shared paper)Chang Zhou (1 shared paper)Xiaoqiang Zhu (1 shared paper)Xiang-Rong Sheng (1 shared paper)Yujing Zhang (1 shared paper)
- Journals
- Applied Mechanics and Materials (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Na Mou
7 papers receiving 597 citations
Na Mou's Hit Papers
Peers
Comparison fields: 5 of 47
- Information Systems 528
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 325
- Management Science and Operations Research 106
- Transportation 39
Countries citing papers authored by Na Mou
This map shows the geographic impact of Na Mou'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 Na Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Mou more than expected).
Fields of papers citing papers by Na Mou
This network shows the impact of papers produced by Na Mou. 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 Na Mou. The network helps show where Na Mou may publish in the future.
Co-authors
The 22 scholars most cited alongside Na Mou, 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 | Deep Interest Evolution Network for Click-Through Rate Prediction Hit paper breakdown → | 2019 | 578 |
| 2 | 2022 | 40 | |
| 3 | 2023 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2014 | 1 |
About Na Mou
Na Mou is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Urban Studies and Sociology and Political Science, having authored 7 papers that have together received 628 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Image Retrieval and Classification Techniques (3 papers), Digital Marketing and Social Media (1 paper), Optimization and Packing Problems (1 paper), Advanced Graph Neural Networks (1 paper), Urban and Freight Transport Logistics (1 paper), Machine Learning and Algorithms (1 paper) and Advanced Computing and Algorithms (1 paper). The work is most often cited by research in Information Systems (528 citations), Computer Vision and Pattern Recognition (229 citations), Artificial Intelligence (325 citations), Management Science and Operations Research (106 citations) and Transportation (39 citations). Na Mou has collaborated with scholars based in China and United States. Frequent co-authors include Guorui Zhou, Weijie Bian, Kun Gai, Ying Fan, Chang Zhou, Xiaoqiang Zhu, Xiang-Rong Sheng, Yujing Zhang, Shiming Xiang and Xiaoqiang Zhu. Their work appears in journals such as Applied Mechanics and Materials and Proceedings of the AAAI Conference on Artificial Intelligence.
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.