Can Cui

1.1k citations

46 papers · 584 · 1 hit paper · h-index 14

Impact in

Occupational Therapy top 5%
- Pressure Ulcer Prevention and Management
Building and Construction top 10%
- Building Energy and Comfort Optimization

Papers in

Artificial Intelligence 21
- AI in cancer detection 5
- Topic Modeling 4
- Metaheuristic Optimization Algorithms Research 3
Computer Vision and Pattern Recognition 13
- Advanced Neural Network Applications 4
- Digital Imaging for Blood Diseases 3

Co-authors: Mengqi Hu (4 shared papers)Teresa Wu (4 shared papers)Jeffery D. Weir (3 shared papers)Xiwang Li (1 shared paper)Ziran Wang (5 shared papers)Yunsheng Ma (5 shared papers)Wenqian Ye (4 shared papers)Xu Cao (3 shared papers)
Journals: Medicine (1 paper)Frontiers in Oncology (1 paper)Academic Radiology (1 paper)EJNMMI Physics (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
Partner nations: China United States Singapore

In The Last Decade

Can Cui

41 papers receiving 568 citations

Can Cui's Hit Papers

align trajectories log scale

Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles 2024 · 70 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles

Peers

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

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20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Short-term building energy model recommendation system: A meta-learning approach Applied Energy ·Can Cui, Teresa Wu, Mengqi Hu, Jeffery D. Weir, Xiwang Li	2016	90
2	Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang Hit paper breakdown →	2024	70
3	A recommendation system for meta-modeling: A meta-learning based approach Expert Systems with Applications ·Can Cui, Mengqi Hu, Jeffery D. Weir, Teresa Wu	2015	53
4	Diabetic Wound Segmentation using Convolutional Neural Networks PubMed ·Can Cui, Karl Thurnhofer‐Hemsi, S. M. Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López‐Rubio	2019	40
5	Adaptive recommendation model using meta-learning for population-based algorithms Information Sciences ·Xianghua Chu, Fulin Cai, Can Cui, Mengqi Hu, Li Li, Quande Qin	2018	31
6	LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs Yunsheng Ma, Can Cui, Xu Cao, Wenqian Ye, Peiran Liu, Juanwu Lu, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Aniket Bera, James M. Rehg, Ziran Wang	2024	29
7	Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers Computers in Biology and Medicine ·Renaid B. Kim, Jonathan Gryak, Abinash Mishra, Can Cui, S. M. Reza Soroushmehr, Kayvan Najarian, James S. Wrobel	2020	27
8	A Survey on Deep Reinforcement Learning for Data Processing and Analytics IEEE Transactions on Knowledge and Data Engineering ·Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang	2022	26
9	Asynchronous Multi-View SLAM Anqi Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang	2021	24
10	Differentiation Between G1 and G2/G3 Phyllodes Tumors of Breast Using Mammography and Mammographic Texture Analysis Frontiers in Oncology ·Wen Jing Cui, Cheng Wang, Ling Jia, Shuai Ren, Shao Feng Duan, Can Cui, Xiao Chen, Zhong Qiu Wang	2019	21
11	Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics EJNMMI Physics ·Lise Wei, Can Cui, Xu Jiarui, Ravi K. Kaza, Issam El Naqa, Yuni K. Dewaraja	2020	16
12	High-efficient rendering of the multi-view image for the three-dimensional display based on the backward ray-tracing technique Optics Communications ·Bo Pang, Xinzhu Sang, Shujun Xing, Xunbo Yu, Duo Chen, Binbin Yan, Kuiru Wang, Chongxiu Yu, Boyang Liu, Can Cui, Yanxin Guan, Weikang Xiang, Lei Ge	2017	14
13	Improved small moving target detection method in infrared sequences under a rotational background Applied Optics ·Tong Zhang, Can Cui, Fu Xing, Huang Han Qiao, Cheng Yu	2018	14
14	AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment arXiv (Cornell University) ·Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi	2021	13
15	A Novel Scale Recognition Method for Pointer Meters Adapted to Different Types and Shapes Haowen Lai, Qi Kang, Le Pan, Can Cui	2019	12
16	Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine Frontiers in Bioengineering and Biotechnology ·Kefan Wang, Jing An, Zhen Wei, Can Cui, Xianghua Ma, Chao Ma, HanQiu Bao	2022	11
17	Adaptive Knowledge Driven Regularization for Deep Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence ·Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang	2021	10
18	A data-driven meta-learning recommendation model for multi-mode resource constrained project scheduling problem Computers & Operations Research ·Xianghua Chu, Shuxiang Li, Fei Gao, Can Cui, Forest Pfeiffer, Jianshuang Cui, Jianshuang Cui	2023	10
19	Personalized Autonomous Driving with Large Language Models: Field Experiments Can Cui, Zichong Yang, Yupeng Zhou, Yunsheng Ma, Juanwu Lu, Lingxi Li, Yaobin Chen, Jitesh H. Panchal, Ziran Wang	2024	7
20	Adaptive differential search algorithm with multi-strategies for global optimization problems Neural Computing and Applications ·Xianghua Chu, Da Gao, Jiansheng Chen, Jianshuang Cui, Can Cui, Su Xiu Xu, Quande Qin	2019	7

About Can Cui

Can Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 46 papers that have together received 584 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Energy Load and Power Forecasting (5 papers), Advanced Neural Network Applications (4 papers), Topic Modeling (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Digital Imaging for Blood Diseases (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Occupational Therapy (30 citations), Building and Construction (88 citations), Rehabilitation (30 citations), Computer Vision and Pattern Recognition (106 citations) and Artificial Intelligence (169 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, Xiwang Li, Ziran Wang, Yunsheng Ma, Wenqian Ye, Xu Cao, S. M. Reza Soroushmehr and Kayvan Najarian. Their work appears in journals such as Medicine, Frontiers in Oncology, Academic Radiology, EJNMMI Physics and IEEE Transactions on Knowledge and Data Engineering.

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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Can Cui's Hit Papers

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