Daniel K. Du

10 papers receiving 94 citations

Peers

Daniel K. Du
Comparison fields: 5 of 31
  • Discrete Mathematics and Combinatorics 12
  • Computer Graphics and Computer-Aided Design 13
  • Computer Vision and Pattern Recognition 62
  • Algebra and Number Theory 13
  • Signal Processing 19
Replace Pascal Peter with:
Pascal Peter Germany
Jean-Pierre Reveillès France
Debayan Deb United States
Jessica Sidman United States
Radoslav Fulek Switzerland
Omer Bar-Tal Israel
Oran Gafni Israel
Jinbo Xing Hong Kong
Tianyu Ding United States
Daniel K. Du relative to Pascal Peter Germany Pascal Peter's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel K. Du

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201524
2 202219
3 202418
4 20239
5 20139
6 20178
7 20167
8 20152
9 20251
10 20121
11 20240

About Daniel K. Du

Daniel K. Du is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Computational Mechanics, having authored 11 papers that have together received 98 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (3 papers), 3D Shape Modeling and Analysis (2 papers), Face and Expression Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Combinatorial Mathematics (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Machine Learning and ELM (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (12 citations), Computer Graphics and Computer-Aided Design (13 citations), Computer Vision and Pattern Recognition (62 citations), Algebra and Number Theory (13 citations) and Signal Processing (19 citations). Daniel K. Du has collaborated with scholars based in China and United States. Frequent co-authors include Zheng‐Hai Huang, Ru‐Xi Ding, Kun Shang, Qing-Hu Hou, Yang Hao, Jun Wang, Xin Dong, Xu Wang, Feida Zhu and Rong-Hua Wang. Their work appears in journals such as The Electronic Journal of Combinatorics, The Ramanujan Journal, European Journal of Combinatorics, Journal of Visual Communication and Image Representation and International Journal of Wavelets Multiresolution and Information Processing.

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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