C.F. Ai

403 citations
22 papers · 249 · h-index 9

Impact in

Papers in

C.F. Ai

22 papers receiving 241 citations

Peers

C.F. Ai
Comparison fields: 5 of 36
  • Metals and Alloys 22
  • Renewable Energy, Sustainability and the Environment 87
  • Materials Chemistry 121
  • Mechanics of Materials 43
  • Biomedical Engineering 62
Replace А. B. Shein with:
А. B. Shein Russia
Mingjun Li China
Zhaoyang Han China
E. Leoni France
Hossein Alijani Australia
Meihua Shen United States
Jorge Montero France
Zhaowei Zhu China
Songsong Sun China
C.F. Ai relative to А. B. Shein Russia А. B. Shein's profile →
Citations per field
00.5×4.8×
А. B. Shein · 1×
Citations per year

Countries citing papers authored by C.F. Ai

Since Specialization
Citations

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

Fields of papers citing papers by C.F. Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.F. 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 C.F. Ai Line = papers co-authored together C.F. Ai 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 198352
2 202535
3 202427
4 202526
5 200615
6 200715
7 198414
8 202411
9 20258
10 20258
11 20246
12 20245
13 20245
14 20104
15 20074
16 20114
17 20103
18 20112
19 20122
20 20251

About C.F. Ai

C.F. Ai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Mechanics of Materials and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (7 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Diamond and Carbon-based Materials Research (4 papers), Metal and Thin Film Mechanics (3 papers), Semiconductor materials and interfaces (3 papers), Semiconductor materials and devices (3 papers), Silicon and Solar Cell Technologies (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Metals and Alloys (22 citations), Renewable Energy, Sustainability and the Environment (87 citations), Materials Chemistry (121 citations), Mechanics of Materials (43 citations) and Biomedical Engineering (62 citations). C.F. Ai has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Tien T. Tsong, Jianjun Zhang, Yong Zhang, Jenq‐Horng Liang, Feifan Zhao, Jiaguo Yu, Haiyan Tan, Yanyan Zhao, Libo Wang and Yanyan Zhao. Their work appears in journals such as Solid-State Electronics, Journal of Materiomics, Poultry Science, The Journal of Chemical Physics and Microelectronic Engineering.

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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