Duo Ding

32 papers receiving 686 citations

Peers

Duo Ding
Comparison fields: 5 of 64
  • Hardware and Architecture 202
  • Industrial and Manufacturing Engineering 133
  • Computer Graphics and Computer-Aided Design 37
  • Electrical and Electronic Engineering 500
  • Computer Vision and Pattern Recognition 128
Replace Gordon T. Hamachi with:
Gordon T. Hamachi United States
Shao‐Yun Fang Taiwan
Yih-Lang Li Taiwan
Charles Chiang United States
Ting-Chi Wang Taiwan
Jhih-Rong Gao United States
Sheqin Dong China
Seung Eun Lee South Korea
Sung Je Hong South Korea
Ren‐Song Tsay Taiwan
Duo Ding relative to Gordon T. Hamachi United States Gordon T. Hamachi's profile →
Citations per field
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Gordon T. Hamachi · 1×
Citations per year

Countries citing papers authored by Duo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Duo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202112
2 20180
3 20188
4 201441
5 201327
6 20138
7 20133
8
Dealing with IC manufacturability in extreme scaling (Embedded tutorial paper)
20122
9
Generating Natural Language Summaries for Multimedia
20122
10 20120
11 201113
12 201161
13 201012
14 20104
15 200924
16 200921
17 200969
18 200935
19 200839
20 200823

About Duo Ding

Duo Ding is a scholar working on Hardware and Architecture, Signal Processing, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 35 papers that have together received 707 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (10 papers), VLSI and Analog Circuit Testing (8 papers), VLSI and FPGA Design Techniques (7 papers), Photonic and Optical Devices (7 papers), Video Analysis and Summarization (6 papers), Music and Audio Processing (5 papers), Low-power high-performance VLSI design (4 papers) and Nanofabrication and Lithography Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (202 citations), Industrial and Manufacturing Engineering (133 citations), Computer Graphics and Computer-Aided Design (37 citations), Electrical and Electronic Engineering (500 citations) and Computer Vision and Pattern Recognition (128 citations). Duo Ding has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include David Z. Pan, Bei Yu, Wooyoung Jang, J. Andres Torres, Joydeep Ghosh, Xiang Wu, Florian Metze, Kun Yuan, Jhih-Rong Gao and Susanne Burger. Their work appears in journals such as Optics Express, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Micro/Nanolithography MEMS and MOEMS, Marine Pollution Bulletin and International Journal of Multimedia Information Retrieval.

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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