Can Cui

1.1k citations
41 papers · 536 · 1 hit paper · h-index 14

Impact in

Papers in

Can Cui

36 papers receiving 523 citations

Can Cui's Hit Papers

Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles 2024 · 65 citations
650+1Years since publication204060

Peers

Can Cui
Comparison fields: 5 of 97
  • Occupational Therapy 28
  • Building and Construction 83
  • Rehabilitation 28
  • Artificial Intelligence 150
  • Computer Vision and Pattern Recognition 91
Replace Chih‐Chieh Hung with:
Chih‐Chieh Hung Taiwan
Vincent Lemaire France
S. K. Smit Netherlands
Muddasar Naeem Italy
Qiqi Liu China
Ravinder Kumar India
Shuxuan Xie China
Laura Palagi Italy
Narina Thakur India
Biswaranjan Acharya India
Can Cui relative to Chih‐Chieh Hung Taiwan Chih‐Chieh Hung's profile →
Citations per field
00.5×5.6×
Chih‐Chieh Hung · 1×
Citations per year

Countries citing papers authored by Can Cui

Since Specialization
Citations

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

Fields of papers citing papers by Can Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Can Cui Line = papers co-authored together Can Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201685
2
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
Hit paper breakdown →
202465
3 201547
4 201936
5 201829
6 202428
7 202026
8 202226
9 202121
10 201920
11 202016
12 201714
13 201814
14 202113
15 201911
16 202210
17 202110
18 202310
19 20247
20 20146

About Can Cui

Can Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Computational Theory and Mathematics, having authored 41 papers that have together received 536 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Energy Load and Power Forecasting (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Advanced Neural Network Applications (3 papers), AI in cancer detection (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Occupational Therapy (28 citations), Building and Construction (83 citations), Rehabilitation (28 citations), Artificial Intelligence (150 citations) and Computer Vision and Pattern Recognition (91 citations). Can Cui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mengqi Hu, Teresa Wu, Jeffery D. Weir, Yunsheng Ma, Xiwang Li, Ziran Wang, Xu Cao, Wenqian Ye, Jonathan Gryak and S. M. Reza Soroushmehr. Their work appears in journals such as Journal of Computer Assisted Tomography, Frontiers in Bioengineering and Biotechnology, EJNMMI Physics, Medicine and Optics Communications.

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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