Changjin Wan

9.3k total citations · 8 hit papers
96 papers, 7.0k citations indexed

About

Changjin Wan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Changjin Wan has authored 96 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Electrical and Electronic Engineering, 35 papers in Cellular and Molecular Neuroscience and 26 papers in Biomedical Engineering. Recurrent topics in Changjin Wan's work include Advanced Memory and Neural Computing (68 papers), Advanced Sensor and Energy Harvesting Materials (25 papers) and Neuroscience and Neural Engineering (23 papers). Changjin Wan is often cited by papers focused on Advanced Memory and Neural Computing (68 papers), Advanced Sensor and Energy Harvesting Materials (25 papers) and Neuroscience and Neural Engineering (23 papers). Changjin Wan collaborates with scholars based in China, Singapore and Germany. Changjin Wan's co-authors include Xiaodong Chen, Ming Wang, Hui Yang, Pingqiang Cai, Geng Chen, Ke He, Jiancan Yu, Dianpeng Qi, Liang Pan and Naoji Matsuhisa and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Changjin Wan

91 papers receiving 6.9k citations

Hit Papers

Highly Stretchable, Elastic, and Ionic Conductive Hydroge... 2017 2026 2020 2023 2018 2020 2018 2017 2020 250 500 750

Peers

Changjin Wan
Comparison fields: 5 of 129
  • Biomedical Engineering 3.9k
  • Electrical and Electronic Engineering 3.3k
  • Polymers and Plastics 2.2k
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.4k
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Citations per field, relative to Changjin Wan
Changjin Wan · 1×
Citations per year, relative to Changjin Wan
Changjin Wan · 1×

Countries citing papers authored by Changjin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Changjin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Changjin Wan. A scholar is included among the top collaborators of Changjin Wan 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 Changjin Wan. Changjin Wan 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 1
3 1
4 0
5 3
6 3
7 2
8 9
9 0
10 2
11 8
12 11
13 63
14 70
15 11
16 5
17
An artificial sensory neuron with visual-haptic fusion breakdown →
256
18 65
19 79
20 18

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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