Lu Ding

1.0k citations
52 papers · 538 · h-index 13

Impact in

    • Advanced Image Fusion Techniques
    • Remote-Sensing Image Classification
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Image Enhancement Techniques
    • Chaos-based Image/Signal Encryption

Papers in

Lu Ding

48 papers receiving 519 citations

Peers

Lu Ding
Comparison fields: 5 of 83
  • Media Technology 130
  • Computer Vision and Pattern Recognition 301
  • Human-Computer Interaction 22
  • Aerospace Engineering 94
  • Safety, Risk, Reliability and Quality 28
Replace Rin-ichiro Taniguchi with:
Rin-ichiro Taniguchi Japan
Zhao Yang China
Luigi Celona Italy
Lei Sun China
Sung-Kee Park South Korea
Kun Yuan China
Yiming Cui United States
Ahmed Nabil Belbachir Austria
Matthew Shreve United States
Lu Ding relative to Rin-ichiro Taniguchi Japan Rin-ichiro Taniguchi's profile →
Citations per field
00.5×1.5×2.0×
Rin-ichiro Taniguchi · 1×
Citations per year

Countries citing papers authored by Lu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201638
3 201736
4 201732
5 202128
6 201928
7 201526
8 201125
9 202421
10 202021
11 201920
12 202020
13 202017
14 202210
15 201910
16 200710
17 201810
18 20199
19 20188
20 20237

About Lu Ding

Lu Ding is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence, having authored 52 papers that have together received 538 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (12 papers), Advanced Neural Network Applications (8 papers), Infrared Target Detection Methodologies (6 papers), Advanced Chemical Sensor Technologies (5 papers), Manufacturing Process and Optimization (4 papers), Distributed Control Multi-Agent Systems (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Media Technology (130 citations), Computer Vision and Pattern Recognition (301 citations), Human-Computer Interaction (22 citations), Aerospace Engineering (94 citations) and Safety, Risk, Reliability and Quality (28 citations). Lu Ding has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yong Wang, Shan Fu, Robert Laganière, Rob Law, Shenshen Gu, Huanlong Zhang, Dan Huang, Bo Jia, Yue Yang and Biting Yu. Their work appears in journals such as Knowledge-Based Systems, Multimedia Tools and Applications, Neurocomputing, Applied Soft Computing and Neural Computing and Applications.

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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