Nan Du

5.7k citations
92 papers · 1.8k · 1 hit paper · h-index 22

Impact in

Papers in

Nan Du

86 papers receiving 1.7k citations

Nan Du's Hit Papers

Recurrent Marked Temporal Point Processes 2016 · 323 citations
3230+3+6Years since publication100200300

Peers

Nan Du
Comparison fields: 5 of 137
  • Statistical and Nonlinear Physics 538
  • Transportation 172
  • Artificial Intelligence 783
  • Computational Mathematics 11
  • Information Systems 388
Replace Xinran He with:
Xinran He United States
Miguel Romance Spain
Zhumin Chen China
Hongteng Xu China
Srujana Merugu United States
Guy Lebanon United States
Purnamrita Sarkar United States
Lingfei Wu United States
Shangsong Liang China
François Fouss Belgium
Nan Du relative to Xinran He United States Xinran He's profile →
Citations per field
00.5×3.5×
Xinran He · 1×
Citations per year

Countries citing papers authored by Nan Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nan Du Line = papers co-authored together Nan Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recurrent Marked Temporal Point Processes
Hit paper breakdown →
2016323
2 2007156
3 201587
4
Learning Networks of Heterogeneous Influence
201283
5
Time-sensitive recommendation from recurrent user activities
201577
6 202367
7 200866
8 201563
9
Uncover Topic-Sensitive Information Diffusion Networks
201360
10 200654
11 201844
12 200839
13 201839
14 200732
15 201632
16 200730
17 201430
18 201828
19
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
201528
20 200825

About Nan Du

Nan Du is a scholar working on Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics, Information Systems and Computer Networks and Communications, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Topic Modeling (18 papers), Bioinformatics and Genomic Networks (17 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 Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (538 citations), Transportation (172 citations), Artificial Intelligence (783 citations), Computational Mathematics (11 citations) and Information Systems (388 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, Bin Wu, Bai Wang, Hanjun Dai, Utkarsh Upadhyay, Liutong Xu, Xin Pei and Aidong Zhang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Bioinformatics, European Radiology, BioMed Research International and Journal of Experimental & Clinical Cancer Research.

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.

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