Chen Ju

1.1k total citations
34 papers, 238 citations indexed

About

Chen Ju is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chen Ju has authored 34 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Chen Ju's work include Species Distribution and Climate Change (3 papers), Multimodal Machine Learning Applications (3 papers) and Caching and Content Delivery (3 papers). Chen Ju is often cited by papers focused on Species Distribution and Climate Change (3 papers), Multimodal Machine Learning Applications (3 papers) and Caching and Content Delivery (3 papers). Chen Ju collaborates with scholars based in China, United States and Malaysia. Chen Ju's co-authors include Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor, Ya Zhang, Yuzhe Tang, Kai Li, Yanfeng Wang, Peisen Zhao, Yueting Chai, Charles Kamhoua and Laurent Njilla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Chen Ju

29 papers receiving 227 citations

Peers

Chen Ju
Comparison fields: 5 of 63
  • Artificial Intelligence 101
  • Computer Vision and Pattern Recognition 79
  • Information Systems 72
  • Computer Networks and Communications 44
  • Control and Systems Engineering 19
Replace Ziqiang Wang with:
Ziqiang Wang China
Prerna Mahajan India
Meena S.M. India
Dong Zheng China
Jun Hou China
Rui Wen China
Ziyuan Liu Taiwan
R. Krishnamoorthi India
Niall Rooney United Kingdom
K. G. Srinivasagan India
Ziqiang Wang China View profile →
Citations per field, relative to Chen Ju
Chen Ju · 1×
Citations per year, relative to Chen Ju
Chen Ju · 1×

Countries citing papers authored by Chen Ju

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Ju. A scholar is included among the top collaborators of Chen Ju 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 Chen Ju. Chen Ju 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 2
2 1
3 1
4 0
5 2
6 12
7 4
8 1
9 0
10 9
11 1
12 20
13 17
14 11
15 5
16 1
17
Determination of Ferulic Acid in Danggui Huangjing Decoction by HPLC
0
18
Current situation and future outlook on essential oils from Chinese materia medica as penetration enhancers
1
19 2
20
CAD Plastic Injection Process Information System Based on UG NX 3.0
0

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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