Lun Du

1.4k citations
51 papers · 755 · h-index 15

Impact in

Papers in

    • Topic Modeling 21
    • Advanced Graph Neural Networks 18
    • Natural Language Processing Techniques 9
    • Software Engineering Research 9
    • Recommender Systems and Techniques 8
    • Web Data Mining and Analysis 5

Lun Du

44 papers receiving 745 citations

Peers

Lun Du
Comparison fields: 5 of 66
  • Artificial Intelligence 541
  • Statistical and Nonlinear Physics 203
  • Software 61
  • Information Systems 271
  • Transportation 49
Replace Xiwu Gu with:
Xiwu Gu China
Eric Zhao United States
Peng Jia China
Tao-Yang Fu United States
Aaron Harwood Australia
Makoto Onizuka Japan
Yukuo Cen China
Kai Zhao China
Xiaopeng Li China
P. Santhi Thilagam India
Lun Du relative to Xiwu Gu China Xiwu Gu's profile →
Citations per field
00.5×4.5×
Xiwu Gu · 1×
Citations per year

Countries citing papers authored by Lun Du

Since Specialization
Citations

This map shows the geographic impact of Lun 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 Lun Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lun Du more than expected).

Fields of papers citing papers by Lun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lun 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 Lun Du. The network helps show where Lun Du may publish in the future.

Co-authors

The 25 scholars most cited alongside Lun 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 Lun Du Line = papers co-authored together Lun Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018146
2 202254
3 202253
4 202240
5 201835
6 202131
7 201929
8 202327
9 202126
10 202326
11 202225
12 202123
13 202022
14 202320
15 202317
16 202314
17 201814
18 202013
19 202213
20 202213

About Lun Du

Lun Du is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 755 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (14 papers), Natural Language Processing Techniques (9 papers), Software Engineering Research (9 papers), Recommender Systems and Techniques (8 papers), Web Data Mining and Analysis (5 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Artificial Intelligence (541 citations), Statistical and Nonlinear Physics (203 citations), Software (61 citations), Information Systems (271 citations) and Transportation (49 citations). Lun Du has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shi Han, Dongmei Zhang, Guojie Song, Yun Wang, Zhicong Lu, Yanlin Wang, Junshan Wang, Ensheng Shi, Hongyu Zhang and Qiang Fu. Their work appears in journals such as Empirical Software Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Intelligent Transportation Systems Magazine, Automated Software Engineering and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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