Jinxi Zhao

1.1k total citations · 1 hit paper
48 papers, 718 citations indexed

About

Jinxi Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, Jinxi Zhao has authored 48 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Numerical Analysis. Recurrent topics in Jinxi Zhao's work include Neural Networks and Applications (16 papers), Face and Expression Recognition (13 papers) and Matrix Theory and Algorithms (6 papers). Jinxi Zhao is often cited by papers focused on Neural Networks and Applications (16 papers), Face and Expression Recognition (13 papers) and Matrix Theory and Algorithms (6 papers). Jinxi Zhao collaborates with scholars based in China, United States and Singapore. Jinxi Zhao's co-authors include Furao Shen, Chao Jing, Furao Shen, Xiong You, Ye Xu, Jun Zheng, Ren Zhang, Yonglei Fang, Weiguo Wang and Yonghui Zhang and has published in prestigious journals such as The Science of The Total Environment, Journal of Affective Disorders and Computer Physics Communications.

In The Last Decade

Jinxi Zhao

46 papers receiving 692 citations

Hit Papers

The burden of mental disorders in Asian countries, 1990–2... 2024 2026 2025 2024 10 20 30

Peers

Jinxi Zhao
Comparison fields: 5 of 114
  • Artificial Intelligence 245
  • Electrical and Electronic Engineering 141
  • Management Science and Operations Research 139
  • Computer Vision and Pattern Recognition 118
  • Numerical Analysis 70
Replace Cemal Ardıl with:
Cemal Ardıl United States
Lorenzo Stella Belgium
Ashok Sahai India
Wenjun Ma China
Roy W. Dobbins United States
Héctor Allende Chile
Kalpana Dahiya India
Balázs Feil Hungary
Cemal Ardıl United States View profile →
Citations per field, relative to Jinxi Zhao
Jinxi Zhao · 1×
Citations per year, relative to Jinxi Zhao
Jinxi Zhao · 1×

Countries citing papers authored by Jinxi Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jinxi Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinxi Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinxi Zhao. A scholar is included among the top collaborators of Jinxi Zhao 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 Jinxi Zhao. Jinxi Zhao 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 7
4
The burden of mental disorders in Asian countries, 1990–2019: an analysis for the global burden of disease study 2019 breakdown →
32
5 8
6 53
7 4
8 9
9 19
10 9
11 2
12
Perception evolution network: adapting to the emergence of new sensory receptor
5
13 5
14 10
15 1
16 1
17 57
18 29
19 5
20 1

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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