Changjun Jia

648 total citations
25 papers, 527 citations indexed

About

Changjun Jia is a scholar working on Biomedical Engineering, Polymers and Plastics and Cognitive Neuroscience. According to data from OpenAlex, Changjun Jia has authored 25 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 14 papers in Polymers and Plastics and 11 papers in Cognitive Neuroscience. Recurrent topics in Changjun Jia's work include Advanced Sensor and Energy Harvesting Materials (21 papers), Conducting polymers and applications (14 papers) and Tactile and Sensory Interactions (11 papers). Changjun Jia is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (21 papers), Conducting polymers and applications (14 papers) and Tactile and Sensory Interactions (11 papers). Changjun Jia collaborates with scholars based in China and South Korea. Changjun Jia's co-authors include Yongsheng Zhu, Yupeng Mao, Tianming Zhao, Fengxin Sun, Liang Chu, Caixia Li, Song Chen, Kuo Wang, Qi Wang and Xiao Wang and has published in prestigious journals such as Advanced Functional Materials, Nano Energy and Sensors.

In The Last Decade

Changjun Jia

25 papers receiving 517 citations

Peers

Changjun Jia
Comparison fields: 5 of 58
  • Biomedical Engineering 473
  • Polymers and Plastics 303
  • Cognitive Neuroscience 202
  • Electrical and Electronic Engineering 67
  • Electronic, Optical and Magnetic Materials 54
Replace Yongsheng Zhu with:
Yongsheng Zhu China
Tianxing Feng China
Li Niu China
Yu Rong China
Chuanhui Wei China
Weiming Gai China
Granch Berhe Tseghai Belgium
David Vera Anaya Australia
Pengtao Yu China
Yongsheng Zhu China View profile →
Citations per field, relative to Changjun Jia
Changjun Jia · 1×
Citations per year, relative to Changjun Jia
Changjun Jia · 1×

Countries citing papers authored by Changjun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Changjun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjun Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Changjun Jia. A scholar is included among the top collaborators of Changjun Jia 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 Changjun Jia. Changjun Jia 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 80
2 2
3 41
4 13
5 48
6 28
7 10
8 18
9 5
10 18
11 2
12 5
13 36
14 2
15 56
16 7
17 28
18 18
19 13
20 3

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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