Can Cui

1.0k total citations · 1 hit paper
41 papers, 512 citations indexed

About

Can Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Can Cui has authored 41 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Can Cui's work include Topic Modeling (4 papers), Energy Load and Power Forecasting (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Can Cui is often cited by papers focused on Topic Modeling (4 papers), Energy Load and Power Forecasting (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Can Cui collaborates with scholars based in China, United States and Singapore. Can Cui's co-authors include Mengqi Hu, Teresa Wu, Jeffery D. Weir, Xiwang Li, Yunsheng Ma, Ziran Wang, Wenqian Ye, Xu Cao, Jonathan Gryak and S. M. Reza Soroushmehr and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Information Sciences.

In The Last Decade

Can Cui

36 papers receiving 493 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2024 60 citations Can Cui, Yunsheng Ma et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Can Cui China	13	155	90	87	83	48	41	512
Dalin Zhang China	17	129 0.8×	95 1.1×	33 0.4×	83 1.0×	40 0.8×	78	826
Chih‐Chieh Hung Taiwan	13	136 0.9×	60 0.7×	88 1.0×	91 1.1×	5 0.1×	39	684
Vincent Lemaire France	16	312 2.0×	69 0.8×	60 0.7×	7 0.1×	37 0.8×	50	695
Bin Pu China	13	271 1.7×	78 0.9×	138 1.6×	59 0.7×	69 1.4×	50	638
Yulian Cao China	13	276 1.8×	95 1.1×	59 0.7×	30 0.4×	10 0.2×	29	924
Praveen Lalwani India	15	207 1.3×	335 3.7×	202 2.3×	13 0.2×	34 0.7×	37	1.1k
Xiaoming You China	14	281 1.8×	51 0.6×	160 1.8×	60 0.7×	5 0.1×	70	761
Chuin-Mu Wang Taiwan	11	162 1.0×	55 0.6×	174 2.0×	34 0.4×	42 0.9×	41	510
Biswaranjan Acharya India	12	165 1.1×	55 0.6×	120 1.4×	35 0.4×	104 2.2×	77	590
Ravinder Kumar India	16	357 2.3×	156 1.7×	170 2.0×	11 0.1×	123 2.6×	67	984

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-authorship network of co-authors of Can Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Can Cui. A scholar is included among the top collaborators of Can Cui 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 Can Cui. Can Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cui, Can, Yupeng Zhou, Sung‐Yeon Park, et al.. (2025). On-Board Vision-Language Models (VLMs) for Personalized Motion Control of Autonomous Vehicles. 20349–20356. 1 indexed citations

2.

Cui, Can, Ruining Deng, Tianyuan Yao, et al.. (2025). Assessment of cell nuclei AI foundation models in kidney pathology. PubMed. 13409. 15–15. 2 indexed citations

3.

Ma, Yunsheng, Xu Cao, Wenqian Ye, et al.. (2024). Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models. 4985–4995. 1 indexed citations

4.

Cui, Can, et al.. (2024). MRI-Based Clinical-Imaging-Radiomics Nomogram Model for Discriminating Between Benign and Malignant Solid Pulmonary Nodules or Masses. Academic Radiology. 31(10). 4231–4241. 3 indexed citations

5.

Deng, Ruining, Quan Liu, Can Cui, et al.. (2024). HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. Lecture notes in computer science. 15004. 155–166. 2 indexed citations

6.

Deng, Ruining, Quan Liu, Can Cui, et al.. (2024). PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. PubMed. 2024. 11736–11746. 5 indexed citations

7.

Ma, Yunsheng, Can Cui, Xu Cao, et al.. (2024). LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. 15141–15151. 24 indexed citations

8.

Wu, Huiming, Jianhua Wang, Can Cui, et al.. (2024). Application of bolus tracking: The effect of ROI positions on the images quality of cervicocerebral CT angiography. Heliyon. 10(7). e29260–e29260.

9.

Cui, Can, et al.. (2024). MDSC-Net: multi-directional spatial connectivity for road extraction in remote sensing images. Journal of Applied Remote Sensing. 18(2).

10.

Chu, Xianghua, et al.. (2023). A data-driven meta-learning recommendation model for multi-mode resource constrained project scheduling problem. Computers & Operations Research. 157. 106290–106290. 9 indexed citations

11.

Chen, Jianhua, et al.. (2022). Research and Implementation of Intelligent Detection for Deserialization Attack Traffic. 122. 1206–1211. 1 indexed citations

12.

Cui, Can, et al.. (2022). Research and implementation of obfuscation binary code similarity detection. 1462–1466. 1 indexed citations

13.

Wang, Kefan, et al.. (2022). Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine. Frontiers in Bioengineering and Biotechnology. 9. 802712–802712. 9 indexed citations

14.

Yang, Anqi, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, & Shenlong Wang. (2021). Asynchronous Multi-View SLAM. 5669–5676. 18 indexed citations

15.

Gryak, Jonathan, et al.. (2020). Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers. Computers in Biology and Medicine. 126. 104042–104042. 26 indexed citations

16.

Wei, Lise, et al.. (2020). Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics. EJNMMI Physics. 7(1). 74–74. 14 indexed citations

17.

Wang, Cheng, et al.. (2019). Differentiation Between G1 and G2/G3 Phyllodes Tumors of Breast Using Mammography and Mammographic Texture Analysis. Frontiers in Oncology. 9. 433–433. 20 indexed citations

18.

Cui, Can, Mengqi Hu, Jeffery D. Weir, & Teresa Wu. (2015). A recommendation system for meta-modeling: A meta-learning based approach. Expert Systems with Applications. 46. 33–44. 46 indexed citations

19.

Cui, Can, et al.. (2014). Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels. Winter Simulation Conference. 616–627. 2 indexed citations

20.

Zhang, Min, Clinton V. Wellnitz, Can Cui, William Pavlicek, & Teresa Wu. (2014). Automated Detection of Z-Axis Coverage with Abdomen-Pelvis Computed Tomography Examinations. Journal of Digital Imaging. 28(3). 362–367. 6 indexed citations

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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