Bai Sun

9.0k citations
277 papers · 7.3k indexed · 4 hit papers · h-index 48

Bai Sun

264 papers receiving 7.2k citations

Hit Papers

Memristor‐Based Neuromorphic Chips213202120262022202450100150200

Peers

Bai Sun
Comparison fields: 5 of 120
  • Polymers and Plastics 2.2k
  • Cellular and Molecular Neuroscience 2.5k
  • Electrical and Electronic Engineering 6.0k
  • Materials Chemistry 1.8k
  • Electronic, Optical and Magnetic Materials 537
Replace Gang Liu with:
Gang Liu China
Xiaobing Yan China
Hangbing Lv China
Rui Yang China
Guangdong Zhou China
Jang‐Sik Lee South Korea
Gunuk Wang South Korea
Ilia Valov Germany
Mario Lanza China
Jia Sun China
Bai Sun relative to Gang Liu China Gang Liu's profile →
Citations per field
00.5×1.5×
Gang Liu · 1×
Citations per year

Countries citing papers authored by Bai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Bai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20253
4 20251
5 20250
6 202417
7 202425
8 202411
9 20247
10 202418
11 20242
12 202325
13 202314
14 202310
15 202327
16 202222
17 202282
18 202113
19
Synaptic devices based neuromorphic computing applications in artificial intelligencebreakdown →
2021216
20 20219

About Bai Sun

Bai Sun is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 277 papers that have together received 7.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (188 papers), Transition Metal Oxide Nanomaterials (68 papers), Neuroscience and Neural Engineering (66 papers), Photoreceptor and optogenetics research (60 papers), Ferroelectric and Negative Capacitance Devices (54 papers), Conducting polymers and applications (28 papers), Perovskite Materials and Applications (22 papers) and Electronic and Structural Properties of Oxides (13 papers). The work is most often cited by research in Polymers and Plastics (2.2k citations), Cellular and Molecular Neuroscience (2.5k citations), Electrical and Electronic Engineering (6.0k citations), Materials Chemistry (1.8k citations) and Electronic, Optical and Magnetic Materials (537 citations). Bai Sun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Guangdong Zhou, Yong Zhao, Tao Guo, Peng Chen, Shuangsuo Mao, Shouhui Zhu, Y. Zhou, Yuanzheng Chen, Yimin A. Wu and Qunliang Song. Their work appears in journals such as Journal of Alloys and Compounds, ACS Applied Nano Materials, Journal of Materials Chemistry C, Journal of Colloid and Interface Science and Advanced Functional 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026