Xiaobo Jia

2.0k citations
60 papers · 1.8k · h-index 23

Impact in

Papers in

Xiaobo Jia

55 papers receiving 1.7k citations

Peers

Xiaobo Jia
Comparison fields: 5 of 99
  • Automotive Engineering 292
  • Biomaterials 289
  • Renewable Energy, Sustainability and the Environment 257
  • Electronic, Optical and Magnetic Materials 285
  • Electrical and Electronic Engineering 852
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Lili Liu China
Hoe Jin Hah South Korea
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Xiaobo Jia relative to Hong Lin China Hong Lin's profile →
Citations per field
00.5×2.6×
Hong Lin · 1×
Citations per year

Countries citing papers authored by Xiaobo Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018211
2 2019158
3 2019129
4 2018104
5 202293
6 202180
7 201774
8 202065
9 201962
10 202061
11 201648
12 201745
13 201840
14 202039
15 201838
16 201636
17 201933
18 201932
19 201930
20 201728

About Xiaobo Jia

Xiaobo Jia is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Materials Chemistry and Renewable Energy, Sustainability and the Environment, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Battery Materials (15 papers), Advanced Battery Materials and Technologies (13 papers), Advanced biosensing and bioanalysis techniques (12 papers), Advanced Battery Technologies Research (11 papers), Advanced Photocatalysis Techniques (10 papers), Nanoplatforms for cancer theranostics (8 papers), Biosensors and Analytical Detection (8 papers) and Gold and Silver Nanoparticles Synthesis and Applications (7 papers). The work is most often cited by research in Automotive Engineering (292 citations), Biomaterials (289 citations), Renewable Energy, Sustainability and the Environment (257 citations), Electronic, Optical and Magnetic Materials (285 citations) and Electrical and Electronic Engineering (852 citations). Xiaobo Jia has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yan Mo, Dechao Niu, Yanyu Qu, Yongsheng Li, Yong Chen, Du Zhi, Feng Yu, Lingzhu Zhao, Jie Du and Jianlin Shi. Their work appears in journals such as RSC Advances, Colloids and Surfaces A Physicochemical and Engineering Aspects, Electrochimica Acta, Separation and Purification Technology and Scientific Reports.

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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