Aidong Lu

1.8k citations
84 papers · 1.3k · h-index 20

Impact in

Papers in

Aidong Lu

78 papers receiving 1.2k citations

Peers

Aidong Lu
Comparison fields: 5 of 121
  • Computer Graphics and Computer-Aided Design 270
  • Computer Vision and Pattern Recognition 758
  • Human-Computer Interaction 167
  • Artificial Intelligence 350
  • Statistical and Nonlinear Physics 114
Replace Krešimir Matković with:
Krešimir Matković Austria
Christopher G. Healey United States
Kwan-Liu Ma United States
Guido Reina Germany
Craig M. Wittenbrink United States
Kristin Potter United States
Jiazhi Xia China
Lvmin Zhang Hong Kong
Haim Levkowitz United States
Chaoli Wang United States
Aidong Lu relative to Krešimir Matković Austria Krešimir Matković's profile →
Citations per field
00.5×3.3×
Krešimir Matković · 1×
Citations per year

Countries citing papers authored by Aidong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Aidong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201999
3 200284
4 201274
5 200350
6 201947
7 200838
8 200338
9 201336
10 201235
11 202334
12 201833
13 201032
14 202332
15 200832
16 202224
17 200623
18 202022
19 201220
20 201120

About Aidong Lu

Aidong Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics and Human-Computer Interaction, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (27 papers), Computer Graphics and Visualization Techniques (16 papers), Complex Network Analysis Techniques (15 papers), Anomaly Detection Techniques and Applications (10 papers), Virtual Reality Applications and Impacts (8 papers), Augmented Reality Applications (8 papers), Human Pose and Action Recognition (7 papers) and Video Analysis and Summarization (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (270 citations), Computer Vision and Pattern Recognition (758 citations), Human-Computer Interaction (167 citations), Artificial Intelligence (350 citations) and Statistical and Nonlinear Physics (114 citations). Aidong Lu has collaborated with scholars based in United States, China and Austria. Frequent co-authors include David S. Ebert, Xintao Wu, Penny Rheingans, Christopher Morris, Lane Harrison, Weichao Wang, Jian Huang, Shuhan Yuan, Panpan Zheng and Jun Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Information Visualization, Computers & Graphics and IEEE Transactions on Knowledge and Data Engineering.

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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