Bin Cai

1.6k citations
42 papers · 1.4k · h-index 16

Impact in

Papers in

Bin Cai

40 papers receiving 1.4k citations

Peers

Bin Cai
Comparison fields: 5 of 48
  • Polymers and Plastics 612
  • Renewable Energy, Sustainability and the Environment 450
  • Electrical and Electronic Engineering 950
  • Materials Chemistry 637
  • Bioengineering 16
Replace Weihan Wang with:
Weihan Wang China
P. Suresh India
Challuri Vijay Kumar India
Mohammad Rameez Taiwan
Yinglin Wang China
Gavin Tulloch Greece
Gayatri Natu United States
Daesub Hwang South Korea
Tadeusz Gruszecki Sweden
Nobuhiro Fuke Japan
Bin Cai relative to Weihan Wang China Weihan Wang's profile →
Citations per field
00.5×8.5×
Weihan Wang · 1×
Citations per year

Countries citing papers authored by Bin Cai

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019331
2 2019143
3 2017108
4 2020107
5 2018106
6 201982
7 201869
8 201941
9 202340
10 202038
11 202037
12 202032
13 202524
14 202417
15 202016
16 202115
17 202214
18 202014
19 202313
20 202412

About Bin Cai

Bin Cai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Renewable Energy, Sustainability and the Environment and Biomaterials, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (24 papers), Advanced Photocatalysis Techniques (15 papers), Conducting polymers and applications (15 papers), TiO2 Photocatalysis and Solar Cells (12 papers), Quantum Dots Synthesis And Properties (10 papers), Organic Electronics and Photovoltaics (6 papers), 2D Materials and Applications (3 papers) and Chalcogenide Semiconductor Thin Films (3 papers). The work is most often cited by research in Polymers and Plastics (612 citations), Renewable Energy, Sustainability and the Environment (450 citations), Electrical and Electronic Engineering (950 citations), Materials Chemistry (637 citations) and Bioengineering (16 citations). Bin Cai has collaborated with scholars based in China, Sweden and Switzerland. Frequent co-authors include Xichuan Yang, Licheng Sun, Ze Yu, Haoxin Wang, Anders Hagfeldt, Jincheng An, Li Zhang, Weihan Wang, Gagik G. Gurzadyan and Jiajia Li. Their work appears in journals such as Solar Energy, Journal of the American Chemical Society, Journal of Energy Chemistry, Nature Communications and Advanced Materials Interfaces.

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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