Wenhao Song

7.9k citations
47 papers · 4.2k indexed · 6 hit papers · h-index 19

Wenhao Song

43 papers receiving 4.1k citations

Hit Papers

Brain-inspired computing with memristors: Challenges in d...2892017202620202023250500750

Peers

Wenhao Song
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 1.7k
  • Electrical and Electronic Engineering 3.9k
  • Cognitive Neuroscience 927
  • Polymers and Plastics 469
  • Artificial Intelligence 845
Replace Qingtian Zhang with:
Qingtian Zhang China
Wenqiang Zhang China
Peng Yao China
Xumeng Zhang China
Mingyi Rao United States
Chao Du China
Yunning Li United States
Shinhyun Choi South Korea
Ning Ge China
Rivu Midya United States
Wenhao Song relative to Qingtian Zhang China Qingtian Zhang's profile →
Citations per field
00.5×1.7×
Qingtian Zhang · 1×
Citations per year

Countries citing papers authored by Wenhao Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenhao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20251
5 20252
6 202315
7 20232
8 20224
9 20229
10 202217
11 202213
12
Brain-inspired computing with memristors: Challenges in devices, circuits, and systemsbreakdown →
2020289
13
An artificial spiking afferent nerve based on Mott memristors for neuroroboticsbreakdown →
2020321
14 20202
15 20194
16 201930
17
Efficient and self-adaptive in-situ learning in multilayer memristor neural networksbreakdown →
2018711
18
Analogue signal and image processing with large memristor crossbarsbreakdown →
2017986
19 2017315
20
A Recursive Taylor Method for Ray-Casting Algebraic Surfaces
20063

About Wenhao Song

Wenhao Song is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (12 papers), Neural dynamics and brain function (11 papers), Gear and Bearing Dynamics Analysis (7 papers), Photoreceptor and optogenetics research (6 papers), Mechanical Engineering and Vibrations Research (6 papers) and Tribology and Lubrication Engineering (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Electrical and Electronic Engineering (3.9k citations) and Cognitive Neuroscience (927 citations). Wenhao Song has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Zhongrui Wang, J. Joshua Yang, Qiangfei Xia, Peng Lin, Can Li, Hao Jiang, Mingyi Rao, Yunning Li, Qing Wu and Mark Barnell.

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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