Jun Jiao

7.9k total citations
249 papers, 6.5k citations indexed

About

Jun Jiao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Jun Jiao has authored 249 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Materials Chemistry, 75 papers in Electrical and Electronic Engineering and 49 papers in Biomedical Engineering. Recurrent topics in Jun Jiao's work include Carbon Nanotubes in Composites (57 papers), Graphene research and applications (46 papers) and Diamond and Carbon-based Materials Research (28 papers). Jun Jiao is often cited by papers focused on Carbon Nanotubes in Composites (57 papers), Graphene research and applications (46 papers) and Diamond and Carbon-based Materials Research (28 papers). Jun Jiao collaborates with scholars based in United States, China and United Kingdom. Jun Jiao's co-authors include Suṗapan Seraphin, Yanxue Chen, Gregory L. Rorrer, Timothy Gutu, Lin Wei, Lifeng Dong, Dan Zhou, Liangmo Mei, James C. Withers and Clayton Jeffryes and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jun Jiao

238 papers receiving 6.4k citations

Peers

Jun Jiao
Comparison fields: 5 of 159
  • Materials Chemistry 3.9k
  • Electrical and Electronic Engineering 2.2k
  • Biomedical Engineering 1.3k
  • Electronic, Optical and Magnetic Materials 1.1k
  • Renewable Energy, Sustainability and the Environment 1.1k
Replace T. Yong-Jin Han with:
T. Yong-Jin Han United States
Zhiwei Li China
Chia‐Chun Chen Taiwan
Jing Zhang China
Yunfeng Li China
Michael B. Cortie Australia
Mingzhu Li China
Xiao Wang China
Xin Yu China
Yousef Haik United Arab Emirates
T. Yong-Jin Han United States View profile →
Citations per field, relative to Jun Jiao
Jun Jiao · 1×
Citations per year, relative to Jun Jiao
Jun Jiao · 1×

Countries citing papers authored by Jun Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jiao. A scholar is included among the top collaborators of Jun Jiao 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 Jun Jiao. Jun Jiao 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
# Work Indexed citations
1 0
2 0
3 3
4 5
5 3
6 0
7 0
8 0
9 25
10 1
11 1
12 1
13 23
14 26
15
Estimating sliding parameters of agricultural tracked robot based on UKF.
1
16 21
17 1
18 29
19
Automatic Guided Vehicle Variable Structure Control Based on Genetic Algorithm and Least Square-support Vector Machine
1
20 22

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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