Nan Du
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Topic Modeling 18
- Advanced Graph Neural Networks 8
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- Bioinformatics and Genomic Networks 18
- Gene expression and cancer classification 9
- Co-authors
- Le Song (8 shared papers)Rakshit Trivedi (3 shared papers)Manuel Gomez-Rodriguez (3 shared papers)Hanjun Dai (2 shared papers)Utkarsh Upadhyay (2 shared papers)Bin Wu (4 shared papers)Bai Wang (6 shared papers)Liutong Xu (5 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Tsinghua Science & Technology (1 paper)Image and Vision Computing (1 paper)Bioinformatics (1 paper)Journal of Cheminformatics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Nan Du
83 papers receiving 1.5k citations
Nan Du's Hit Papers
Peers
Comparison fields: 5 of 142
- Statistical and Nonlinear Physics 468
- Transportation 156
- Artificial Intelligence 671
- Computational Mathematics 10
- Information Systems 340
Countries citing papers authored by Nan Du
This map shows the geographic impact of Nan Du'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 Nan Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Du more than expected).
Fields of papers citing papers by Nan Du
This network shows the impact of papers produced by Nan Du. 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 Nan Du. The network helps show where Nan Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Du, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recurrent Marked Temporal Point Processes Hit paper breakdown → | 2016 | 279 |
| 2 | 2007 | 126 | |
| 3 | 2015 | 75 | |
| 4 | Learning Networks of Heterogeneous Influence | 2012 | 74 |
| 5 | Time-sensitive recommendation from recurrent user activities | 2015 | 68 |
| 6 | 2023 | 65 | |
| 7 | 2015 | 57 | |
| 8 | 2008 | 56 | |
| 9 | Uncover Topic-Sensitive Information Diffusion Networks | 2013 | 55 |
| 10 | 2006 | 47 | |
| 11 | 2018 | 38 | |
| 12 | 2018 | 37 | |
| 13 | 2008 | 35 | |
| 14 | 2016 | 31 | |
| 15 | 2014 | 28 | |
| 16 | 2018 | 28 | |
| 17 | Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades | 2015 | 27 |
| 18 | 2007 | 27 | |
| 19 | 2007 | 25 | |
| 20 | Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions | 2016 | 24 |
About Nan Du
Nan Du is a scholar working on Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics, Information Systems and Computational Theory and Mathematics, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Bioinformatics and Genomic Networks (18 papers), Topic Modeling (18 papers), Opinion Dynamics and Social Influence (15 papers), Gene expression and cancer classification (9 papers), Computational Drug Discovery Methods (8 papers), Advanced Graph Neural Networks (8 papers) and Peer-to-Peer Network Technologies (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (468 citations), Transportation (156 citations), Artificial Intelligence (671 citations), Computational Mathematics (10 citations) and Information Systems (340 citations). Nan Du has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Le Song, Rakshit Trivedi, Manuel Gomez-Rodriguez, Hanjun Dai, Utkarsh Upadhyay, Bin Wu, Bai Wang, Liutong Xu, Xin Pei and Aidong Zhang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Tsinghua Science & Technology, Image and Vision Computing, Bioinformatics and Journal of Cheminformatics.
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.