Bin Gao

21.4k total citations · 13 hit papers
355 papers, 16.5k citations indexed

About

Bin Gao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Bin Gao has authored 355 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 335 papers in Electrical and Electronic Engineering, 82 papers in Cellular and Molecular Neuroscience and 52 papers in Materials Chemistry. Recurrent topics in Bin Gao's work include Advanced Memory and Neural Computing (313 papers), Ferroelectric and Negative Capacitance Devices (245 papers) and Semiconductor materials and devices (99 papers). Bin Gao is often cited by papers focused on Advanced Memory and Neural Computing (313 papers), Ferroelectric and Negative Capacitance Devices (245 papers) and Semiconductor materials and devices (99 papers). Bin Gao collaborates with scholars based in China, United States and Singapore. Bin Gao's co-authors include Huaqiang Wu, He Qian, Jianshi Tang, Jinfeng Kang, Peng Yao, Shimeng Yu, Wenqiang Zhang, Qingtian Zhang, H.‐S. Philip Wong and J. Joshua Yang and has published in prestigious journals such as Nature, Science and Advanced Materials.

In The Last Decade

Bin Gao

332 papers receiving 16.2k citations

Hit Papers

Fully hardware-implemented memristor co... 2013 2026 2017 2021 2020 2017 2020 2019 2022 500 1000 1.5k

Peers

Bin Gao
Comparison fields: 5 of 129
  • Electrical and Electronic Engineering 15.4k
  • Cellular and Molecular Neuroscience 5.3k
  • Artificial Intelligence 2.7k
  • Polymers and Plastics 2.4k
  • Cognitive Neuroscience 2.1k
Replace Huaqiang Wu with:
Huaqiang Wu China
He Qian China
John Paul Strachan United States
Qiangfei Xia United States
Daniele Ielmini Italy
Shimeng Yu United States
Jianshi Tang China
Abu Sebastian Switzerland
Hao Jiang United States
Yuchao Yang China
Huaqiang Wu China View profile →
Citations per field, relative to Bin Gao
Bin Gao · 1×
Citations per year, relative to Bin Gao
Bin Gao · 1×

Countries citing papers authored by Bin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Gao. A scholar is included among the top collaborators of Bin Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Gao. Bin Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 12
3 0
4
Physical reservoir computing with emerging electronics breakdown →
101
5 8
6 2
7 1
8 29
9 33
10 56
11 16
12
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing breakdown →
428
13 106
14 53
15 44
16 44
17 4
18 25
19 7
20 4

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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