Nan Du

1.2k citations
79 papers · 962 · h-index 17

Impact in

Papers in

Nan Du

74 papers receiving 944 citations

Peers

Nan Du
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 295
  • Polymers and Plastics 191
  • Electrical and Electronic Engineering 686
  • Aquatic Science 61
  • Hardware and Architecture 56
Replace Shuang Pi with:
Shuang Pi United States
Yihan Zhang China
Yijun Li China
Daeseok Lee South Korea
Vikas Rana Germany
Wonjoo Kim South Korea
Gianluca Milano Italy
Yuxin Kong China
Jingchen Cao United States
Patrick Sheridan United States
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Citations per field
00.5×3.7×
Shuang Pi · 1×
Citations per year

Countries citing papers authored by Nan Du

Since Specialization
Citations

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

Fields of papers citing papers by Nan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 201489
3 201349
4 201547
5
LIPID COMPOSITION IN HEPATOPANCREAS OF CHINESE MITTEN CRAB ERIOCHEIR SINENSIS AT DIFFERENT STAGES
199843
6 201738
7 201837
8 202137
9 201533
10 201230
11 202129
12 202120
13 201920
14 201320
15 202019
16 201617
17 201617
18 201216
19
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
201216
20 201113

About Nan Du

Nan Du is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Materials Chemistry, Polymers and Plastics and Cognitive Neuroscience, having authored 79 papers that have together received 962 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (45 papers), Ferroelectric and Negative Capacitance Devices (22 papers), Neuroscience and Neural Engineering (11 papers), Transition Metal Oxide Nanomaterials (11 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Photoreceptor and optogenetics research (9 papers), Ferroelectric and Piezoelectric Materials (9 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (295 citations), Polymers and Plastics (191 citations), Electrical and Electronic Engineering (686 citations), Aquatic Science (61 citations) and Hardware and Architecture (56 citations). Nan Du has collaborated with scholars based in Germany, China and Taiwan. Frequent co-authors include Heidemarie Schmidt, Oliver G. Schmidt, Danilo Bürger, Ilona Skorupa, Yao Shuai, Tiangui You, Christian Mayr, Wenbo Luo, Ilia Polian and René Schüffny. Their work appears in journals such as Journal of Applied Physics, Scientific Reports, Biosensors, Biosensors and Bioelectronics and Applied Surface Science.

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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