Su Cai

1.9k total citations · 1 hit paper
52 papers, 1.3k citations indexed

About

Su Cai is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Su Cai has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 20 papers in Information Systems and 16 papers in Developmental and Educational Psychology. Recurrent topics in Su Cai's work include Augmented Reality Applications (29 papers), Mobile Learning in Education (14 papers) and Virtual Reality Applications and Impacts (11 papers). Su Cai is often cited by papers focused on Augmented Reality Applications (29 papers), Mobile Learning in Education (14 papers) and Virtual Reality Applications and Impacts (11 papers). Su Cai collaborates with scholars based in China, United States and Taiwan. Su Cai's co-authors include Feng‐Kuang Chiang, Xu Wang, Enrui Liu, Jyh‐Chong Liang, Changhao Liu, Joey J. Lee, Yuchen Sun, Yang Yang, Xu Wang and Tao Wang and has published in prestigious journals such as Computers in Human Behavior, Journal of Autism and Developmental Disorders and Sustainability.

In The Last Decade

Su Cai

50 papers receiving 1.3k citations

Hit Papers

A case study of Augmented Reality simulation system appli... 2014 2026 2018 2022 2014 100 200 300

Peers

Su Cai
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 815
  • Information Systems 605
  • Human-Computer Interaction 452
  • Developmental and Educational Psychology 298
  • Education 280
Replace Juan Garzón with:
Juan Garzón Colombia
Feng‐Kuang Chiang China
Jorge Bacca Colombia
Ángela Di Serio Spain
Carlos Efrén Mora Luis Spain
David Pérez Spain
Athanasios Christopoulos Finland
Wernhuar Tarng Taiwan
Josef Buchner Germany
Andreas Dünser New Zealand
Juan Garzón Colombia View profile →
Citations per field, relative to Su Cai
Su Cai · 1×
Citations per year, relative to Su Cai
Su Cai · 1×

Countries citing papers authored by Su Cai

Since Specialization
Citations

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

Fields of papers citing papers by Su Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Su Cai. A scholar is included among the top collaborators of Su 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 Su Cai. Su 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 3
3 0
4 1
5 1
6 2
7 11
8 21
9 3
10 102
11 14
12 1
13 25
14 2
15
Using the Augmented Reality 3D Technique for a Convex Imaging Experiment in a Physics Course
89
16 6
17 5
18
Octree-based blind watermarking on 3D meshes
1
19 2
20
Algorithm for robust blind image watermark
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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