Can Li

1.1k total citations
17 papers, 256 citations indexed

About

Can Li is a scholar working on Building and Construction, Transportation and Automotive Engineering. According to data from OpenAlex, Can Li has authored 17 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Building and Construction, 10 papers in Transportation and 2 papers in Automotive Engineering. Recurrent topics in Can Li's work include Traffic Prediction and Management Techniques (12 papers), Transportation Planning and Optimization (8 papers) and Human Mobility and Location-Based Analysis (7 papers). Can Li is often cited by papers focused on Traffic Prediction and Management Techniques (12 papers), Transportation Planning and Optimization (8 papers) and Human Mobility and Location-Based Analysis (7 papers). Can Li collaborates with scholars based in Australia, China and Hong Kong. Can Li's co-authors include Wei Liu, Lina Yao, Lei Bai, S. Travis Waller, Zhiwei Yang, Fangni Zhang, Jingjuan Jiao, Xianzhi Wang, Xiang Zhang and Hui Qian and has published in prestigious journals such as Journal of Environmental Management, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Can Li

16 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Can Li Australia	10	155	149	37	35	33	17	256
Long Xuan Nguyen Vietnam	10	116 0.7×	108 0.7×	76 2.1×	8 0.2×	80 2.4×	23	276
Linjie Gao China	9	196 1.3×	105 0.7×	54 1.5×	5 0.1×	39 1.2×	25	293
Clas Rydergren Sweden	11	246 1.6×	113 0.8×	59 1.6×	8 0.2×	94 2.8×	37	302
Natalia Isaenko Italy	9	208 1.3×	208 1.4×	55 1.5×	8 0.2×	136 4.1×	19	305
Binglei Xie China	12	212 1.4×	117 0.8×	78 2.1×	4 0.1×	34 1.0×	42	379
Natalia Ruiz Juri United States	10	326 2.1×	149 1.0×	175 4.7×	12 0.3×	90 2.7×	32	419
Massimo Di Gangi Italy	12	231 1.5×	123 0.8×	82 2.2×	10 0.3×	142 4.3×	48	332
L. Ingolotti Spain	6	251 1.6×	50 0.3×	21 0.6×	14 0.4×	9 0.3×	9	416
Ties Brands Netherlands	10	267 1.7×	99 0.7×	71 1.9×	3 0.1×	29 0.9×	28	316
Hojong Baik United States	10	147 0.9×	27 0.2×	84 2.3×	159 4.5×	53 1.6×	55	367

Countries citing papers authored by Can Li

Since Specialization

Citations

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

Fields of papers citing papers by Can Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Li

This figure shows the co-authorship network connecting the top 25 collaborators of Can Li. A scholar is included among the top collaborators of Can Li 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 Li. Can Li 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:

17 of 17 papers shown

Li, Can, et al.. (2025). Simultaneous Multimodal Demand Imputation and Forecasting via Graph-Guided Generative and Adversarial Network. Transportation Science. 59(4). 763–781. 1 indexed citations

Yang, Fan, et al.. (2024). Performance of carbon felt as cathodes in magnesium corrosion method to recover phosphate from swine wastewater. Journal of Environmental Management. 370. 123027–123027.

Li, Can, et al.. (2024). Deep causal inference for understanding the impact of meteorological variations on traffic. Transportation Research Part C Emerging Technologies. 165. 104744–104744. 5 indexed citations

Yang, Lili, Yong Zhang, Hui Wang, et al.. (2024). Effects of sulfite and freezing co-pretreatment on the volatile fatty acids production of waste activated sludge in anaerobic fermentation. Journal of Water Process Engineering. 65. 105752–105752. 1 indexed citations

Li, Can, et al.. (2024). Learning and managing stochastic network traffic dynamics: an iterative and interactive approach. Transportmetrica B Transport Dynamics. 12(1). 2 indexed citations

Li, Can & Wei Liu. (2023). Multimodal Transport Demand Forecasting via Federated Learning. IEEE Transactions on Intelligent Transportation Systems. 25(5). 4009–4020. 17 indexed citations

Li, Can, Lei Bai, Lina Yao, S. Travis Waller, & Wei Liu. (2023). A bibliometric analysis and review on reinforcement learning for transportation applications. Transportmetrica B Transport Dynamics. 11(1). 16 indexed citations

Li, Can, Lei Bai, Wei Liu, Lina Yao, & S. Travis Waller. (2022). Unsupervised Knowledge Adaptation for Passenger Demand Forecasting. SSRN Electronic Journal. 4 indexed citations

Qian, Hui, et al.. (2022). Experimental study on the seismic performance of self-centering bridge piers incorporating ECC and superelastic SMA bars in the plastic hinge regions. Structures. 46. 1955–1967. 19 indexed citations

10.

Bai, Lei, Lina Yao, Xianzhi Wang, Can Li, & Xiang Zhang. (2021). Deep spatial–temporal sequence modeling for multi-step passenger demand prediction. Future Generation Computer Systems. 121. 25–34. 24 indexed citations

11.

Li, Can, Lei Bai, Wei Liu, Lina Yao, & S. Travis Waller. (2021). A multi-task memory network with knowledge adaptation for multimodal demand forecasting. Transportation Research Part C Emerging Technologies. 131. 103352–103352. 33 indexed citations

12.

Li, Can, Lei Bai, Wei Liu, Lina Yao, & S. Travis Waller. (2020). Graph Neural Network for Robust Public Transit Demand Prediction. IEEE Transactions on Intelligent Transportation Systems. 23(5). 4086–4098. 38 indexed citations

13.

Bai, Lei, Lina Yao, Can Li, Xianzhi Wang, & Can Wang. (2020). Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. UTS ePRESS (University of Technology Sydney). 9 indexed citations

14.

Li, Can, Lei Bai, Wei Liu, Lina Yao, & S. Travis Waller. (2020). Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. 715–724. 19 indexed citations

15.

Li, Can, Lei Bai, Wei Liu, Lina Yao, & S. Travis Waller. (2020). Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference. Transportation Research Part C Emerging Technologies. 124. 102921–102921. 18 indexed citations

16.

Yang, Zhiwei, Can Li, Jingjuan Jiao, Wei Liu, & Fangni Zhang. (2020). On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China. Transport Policy. 99. 20–30. 49 indexed citations

17.

Li, Can, Xin Zhao, & Yang Li. (2015). Research on Vehicle Routing Optimization in an Emergency Based on Intersection Delay. 2. 548–555. 1 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.

Explore authors with similar magnitude of impact