Linfeng Ai

402 citations
18 papers · 201 indexed · h-index 8

Impact in

Papers in

Linfeng Ai

15 papers receiving 199 citations

Peers

Linfeng Ai
Comparison fields: 5 of 34
  • Condensed Matter Physics 82
  • Atomic and Molecular Physics, and Optics 100
  • Electronic, Optical and Magnetic Materials 56
  • Materials Chemistry 102
  • Structural Biology 1
Replace Pengliang Leng with:
Pengliang Leng China
Sarah E. Grefe United States
Shawna Hollen United States
P. Niraula United States
Theresa P. Ginley United States
Li-Qiao Xia United States
Matthew Davies Australia
Yuxuan Xiao United States
I. B. Berkutov Ukraine
Jasbinder Chauhan United Kingdom
Linfeng Ai relative to Pengliang Leng China Pengliang Leng's profile →
Citations per field
00.5×1.5×
Pengliang Leng · 1×
Citations per year

Countries citing papers authored by Linfeng Ai

Since Specialization
Citations

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

Fields of papers citing papers by Linfeng Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20251
2 20250
3 20242
4 20244
5 20240
6 202311
7 20231
8 20233
9 202311
10 20227
11 202110
12 20219
13 202077
14 202020
15 202015
16 20205
17 201825
18 20140

About Linfeng Ai

Linfeng Ai is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Materials Chemistry and Hepatology, having authored 18 papers that have together received 201 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (8 papers), 2D Materials and Applications (6 papers), Graphene research and applications (5 papers), Physics of Superconductivity and Magnetism (3 papers), Magnetic properties of thin films (3 papers), Multiferroics and related materials (3 papers), Advanced Condensed Matter Physics (2 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Condensed Matter Physics (82 citations), Atomic and Molecular Physics, and Optics (100 citations), Electronic, Optical and Magnetic Materials (56 citations), Materials Chemistry (102 citations) and Structural Biology (1 citation). Linfeng Ai has collaborated with scholars based in China, United States and India. Frequent co-authors include Faxian Xiu, Shanshan Liu, Enze Zhang, Ce Huang, Zihan Li, Yunkun Yang, Pengliang Leng, Yichao Zou, Xinyue Peng and Xian Xu. Their work appears in journals such as Nano Letters, Nature Communications, ACS Nano, Frontiers in Microbiology and Nature Electronics.

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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