Xiaobing Yan

8.5k citations
196 papers · 7.2k indexed · 3 hit papers · h-index 44

Xiaobing Yan

182 papers receiving 7.1k citations

Hit Papers

The Future of Memristors: Materials Engineering and Neura...3542017202620202023100200300

Peers

Xiaobing Yan
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 2.4k
  • Polymers and Plastics 1.5k
  • Electrical and Electronic Engineering 5.9k
  • Materials Chemistry 2.2k
  • Electronic, Optical and Magnetic Materials 477
Replace Bai Sun with:
Bai Sun China
Hangbing Lv China
Ilia Valov Germany
Jang‐Sik Lee South Korea
Mario Lanza China
Doo Seok Jeong South Korea
Qingqing Sun China
Fei Zhuge China
David Wei Zhang China
Gunuk Wang South Korea
Xiaobing Yan relative to Bai Sun China Bai Sun's profile →
Citations per field
00.5×1.5×
Bai Sun · 1×
Citations per year

Countries citing papers authored by Xiaobing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20251
4 20252
5 20250
6 20250
7 20252
8 20245
9 20243
10 20241
11 202411
12 20244
13 20248
14 202271
15 20224
16 202142
17 202154
18 202044
19 2019107
20 2019176

About Xiaobing Yan

Xiaobing Yan is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 196 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (142 papers), Ferroelectric and Negative Capacitance Devices (75 papers), Neuroscience and Neural Engineering (51 papers), Photoreceptor and optogenetics research (38 papers), Transition Metal Oxide Nanomaterials (30 papers), Ferroelectric and Piezoelectric Materials (23 papers), Semiconductor materials and devices (17 papers) and Electronic and Structural Properties of Oxides (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Polymers and Plastics (1.5k citations) and Electrical and Electronic Engineering (5.9k citations). Xiaobing Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jingsheng Chen, Jianhui Zhao, Jingjuan Wang, Qi Liu, Yifei Pei, Kaiyang Wang, Kaixuan Sun, Zhenyu Zhou, Zhenyu Zhou and Lei Zhang. Their work appears in journals such as Applied Physics Letters, Advanced Functional Materials, Science China Materials, ACS Applied Materials & Interfaces and Advanced 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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