Yaotian Ling

415 citations
22 papers · 308 · h-index 11

Impact in

Papers in

Yaotian Ling

22 papers receiving 294 citations

Peers

Yaotian Ling
Comparison fields: 5 of 33
  • Cellular and Molecular Neuroscience 105
  • Electrical and Electronic Engineering 287
  • Polymers and Plastics 42
  • Cognitive Neuroscience 35
  • Hardware and Architecture 11
Replace Lindong Wu with:
Lindong Wu China
Junjie An China
Alexander H. Hsia United States
Ryutaro Yasuhara Japan
Xuegang Duan China
Yann Beilliard Canada
Yasmin Halawani United Arab Emirates
Djaafar Chabi France
Artem Glukhov Italy
Yaotian Ling relative to Lindong Wu China Lindong Wu's profile →
Citations per field
00.5×1.5×2.2×
Lindong Wu · 1×
Citations per year

Countries citing papers authored by Yaotian Ling

Since Specialization
Citations

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

Fields of papers citing papers by Yaotian Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 201637
3 202026
4 202025
5 202024
6 202121
7 202019
8 202017
9 202214
10 202314
11 202313
12 20229
13 20248
14 20217
15 20207
16 20227
17 20217
18 20226
19 20183
20 20242

About Yaotian Ling

Yaotian Ling is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Cognitive Neuroscience and Polymers and Plastics, having authored 22 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (15 papers), Neuroscience and Neural Engineering (6 papers), Neural Networks and Reservoir Computing (5 papers), Photoreceptor and optogenetics research (5 papers), Semiconductor materials and devices (5 papers), Neural dynamics and brain function (4 papers) and Transition Metal Oxide Nanomaterials (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (105 citations), Electrical and Electronic Engineering (287 citations), Polymers and Plastics (42 citations), Cognitive Neuroscience (35 citations) and Hardware and Architecture (11 citations). Yaotian Ling has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Zongwei Wang, Yimao Cai, Ru Huang, Lin Bao, Zhizhen Yu, Qingyu Chen, Lindong Wu, Jian Kang, John Robertson and Ru Huang. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Advanced Electronic Materials, Science China Information Sciences and Nanoscale.

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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