Jia Cai

1.0k total citations · 1 hit paper
50 papers, 712 citations indexed

About

Jia Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jia Cai has authored 50 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 14 papers in Aerospace Engineering. Recurrent topics in Jia Cai's work include Face and Expression Recognition (10 papers), Robotics and Sensor-Based Localization (8 papers) and Space Satellite Systems and Control (7 papers). Jia Cai is often cited by papers focused on Face and Expression Recognition (10 papers), Robotics and Sensor-Based Localization (8 papers) and Space Satellite Systems and Control (7 papers). Jia Cai collaborates with scholars based in China, United States and United Kingdom. Jia Cai's co-authors include Panfeng Huang, Dongke Wang, Zhongjie Meng, Donald J. Willison, Kathleen Murphy, Ross Upshur, Vincci Lui, Neha Malhotra, Erica Di Ruggiero and Jennifer Gibson and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Jia Cai

43 papers receiving 690 citations

Hit Papers

Artificial intelligence for good health: a scoping review... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Jia Cai
Comparison fields: 5 of 110
  • Aerospace Engineering 287
  • Astronomy and Astrophysics 158
  • Computer Vision and Pattern Recognition 145
  • Health Informatics 144
  • Artificial Intelligence 95
James McCoy Australia
T. P. Trzcinski Poland
László Nádai Hungary
Clare Martin United Kingdom
Shiv Dutt Joshi India
Mirhamed Mirmozafari United States
Nima Bayat-Makou Canada
Christopher D’Souza United States
J. M. Seixas Brazil
Xu Fang China
James McCoy Australia View profile →
Citations per field, relative to Jia Cai
Jia Cai · 1×
Citations per year, relative to Jia Cai
Jia Cai · 1×

Countries citing papers authored by Jia Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jia Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Cai. A scholar is included among the top collaborators of Jia Cai 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 Jia Cai. Jia Cai 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 0
4 4
5 3
6 17
7 3
8 3
9
Artificial intelligence for good health: a scoping review of the ethics literature breakdown →
220
10 3
11 4
12 10
13 5
14 3
15 4
16 40
17 2
18 1
19 12
20
Quantitative Model and Fast Estimation Algorithm of Sampling Error for Association Rule Mining
2

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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2026