Bo Xiao

2.5k citations
62 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Advanced Memory and Neural Computing (12 papers)MXene and MAX Phase Materials (11 papers)Ferroelectric and Negative Capacitance Devices (7 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Bo Xiao

59 papers receiving 2.1k citations

Hit Papers

Monolayer Ti2CO2: A Promising Candidate for NH3 Sensor or...20152026201820222015100200300400500

Peers

Bo Xiao
Comparison fields: 5 of 53
  • Materials Chemistry 1.4k
  • Electrical and Electronic Engineering 1.3k
  • Biomedical Engineering 236
  • Renewable Energy, Sustainability and the Environment 234
  • Polymers and Plastics 161
Replace Aniket Datar with:
Aniket Datar United States
Martin Weiter Czechia
Lyubov A. Frolova Russia
Jingyu Qian China
Tao He China
Qiuyan Liao China
Seok Min Yoon South Korea
Zongrui Wang China
Lishun Fu China
Naisa Chandrasekhar Germany
Bo Xiao relative to Aniket Datar United States Aniket Datar's profile →
Citations per field
00.5×5.1×
Aniket Datar · 1×
Citations per year

Countries citing papers authored by Bo Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Bo Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Xiao. A scholar is included among the top collaborators of Bo Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bo Xiao. Bo Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 2
6 14
7 9
8 32
9 1
10 7
11 32
12 21
13 5
14 3
15 1
16 27
17 103
18 33
19 9
20 10

About Bo Xiao

Bo Xiao is a scholar working on Physical and Theoretical Chemistry, Inorganic Chemistry and Materials Chemistry, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), MXene and MAX Phase Materials (11 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). The work is most often cited by research in Materials Chemistry (1.4k citations), Electrical and Electronic Engineering (1.3k citations) and Physical and Theoretical Chemistry (150 citations). Bo Xiao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jianbo Cheng, Xue-fang Yu, Yanchun Li, Qingzhong Li, Xin Yang, Wen‐Zuo Li, Zhenbo Liu, Satoshi Watanabe, Sangram K. Pradhan and A. K. Pradhan. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics and Applied Physics Letters.

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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