Ning Ge

8.4k citations
61 papers · 6.4k indexed · 7 hit papers · h-index 20

Ning Ge

55 papers receiving 6.3k citations

Hit Papers

Reinforcement learning with analogue memristor arrays289201620262019202250010001.5k

Peers

Ning Ge
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 2.7k
  • Electrical and Electronic Engineering 6.0k
  • Cognitive Neuroscience 1.1k
  • Polymers and Plastics 747
  • Artificial Intelligence 1.0k
Replace Zhiyong Li with:
Zhiyong Li United States
Mark Barnell United States
Peng Yao China
Yi Li China
Rivu Midya United States
Xumeng Zhang China
Wenqiang Zhang China
Qingtian Zhang China
Sung Hyun Jo United States
M. Prezioso United States
Ning Ge relative to Zhiyong Li United States Zhiyong Li's profile →
Citations per field
00.5×1.5×
Zhiyong Li · 1×
Citations per year

Countries citing papers authored by Ning Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20256
3 20251
4 20240
5 20241
6 20240
7 20232
8 20212
9 20213
10 20197
11 20184
12
Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Enginebreakdown →
2018601
13 201725
14
Anatomy of Ag/Hafnia‐Based Selectors with 1010 Nonlinearitybreakdown →
2017324
15
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computingbreakdown →
20161899
16 2016145
17 2016111
18 201524
19
Design and implementation of Bluetooth low power consumption personal health network
20131
20 20060

About Ning Ge

Ning Ge is a scholar working on Software, Hardware and Architecture, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 61 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Neuroscience and Neural Engineering (16 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Real-Time Systems Scheduling (5 papers), Embedded Systems Design Techniques (5 papers), Advanced Software Engineering Methodologies (5 papers), Formal Methods in Verification (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.7k citations), Electrical and Electronic Engineering (6.0k citations), Cognitive Neuroscience (1.1k citations), Polymers and Plastics (747 citations) and Artificial Intelligence (1.0k citations). Ning Ge has collaborated with scholars based in China, United States and France. Frequent co-authors include R. Stanley Williams, John Paul Strachan, J. Joshua Yang, Miao Hu, Qiangfei Xia, Hao Jiang, Zhiyong Li, Qing Wu, Peng Lin and Zhongrui Wang. Their work appears in journals such as Scientific Reports, Bioelectrochemistry, China Communications, Nature Electronics and Advanced Materials.

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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