Li Du

1.0k citations
93 papers · 614 · h-index 13

Impact in

Papers in

Li Du

73 papers receiving 601 citations

Peers

Li Du
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 193
  • Hardware and Architecture 54
  • Electrical and Electronic Engineering 382
  • Computational Mathematics 3
  • Artificial Intelligence 129
Replace Liang Chang with:
Liang Chang China
Zhengang Li United States
Chaojian Li United States
Junbin Wang China
Shimpei Sato Japan
Sungpill Choi South Korea
Mengshu Sun United States
Yen‐Cheng Kuan United States
Syed Shakib Sarwar United States
Mingyu Wang China
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Li Du

Since Specialization
Citations

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

Fields of papers citing papers by Li Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017163
2 201834
3 200933
4 201930
5 202125
6 201622
7 202020
8 201917
9 201713
10 202312
11 202312
12 202312
13 201412
14 202411
15 202210
16 202210
17 20219
18 20227
19 20167
20 20147

About Li Du

Li Du is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications, having authored 93 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (20 papers), Advanced Neural Network Applications (19 papers), CCD and CMOS Imaging Sensors (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Radio Frequency Integrated Circuit Design (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Interconnection Networks and Systems (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (193 citations), Hardware and Architecture (54 citations), Electrical and Electronic Engineering (382 citations), Computational Mathematics (3 citations) and Artificial Intelligence (129 citations). Li Du has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yuan Du, Mau-Chung Frank Chang, Yilei Li, Yen‐Cheng Kuan, Junjie Su, Zhongfeng Wang, Ashish V. Jagtiani, Jun Lin, Jiang Zhe and Abhay Vasudev. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits & Systems II Express Briefs.

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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