Chunjiao Dong

784 total citations
42 papers, 584 citations indexed

About

Chunjiao Dong is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Chunjiao Dong has authored 42 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Transportation, 20 papers in Building and Construction and 14 papers in Control and Systems Engineering. Recurrent topics in Chunjiao Dong's work include Transportation Planning and Optimization (25 papers), Traffic Prediction and Management Techniques (18 papers) and Traffic control and management (14 papers). Chunjiao Dong is often cited by papers focused on Transportation Planning and Optimization (25 papers), Traffic Prediction and Management Techniques (18 papers) and Traffic control and management (14 papers). Chunjiao Dong collaborates with scholars based in China, United Kingdom and United States. Chunjiao Dong's co-authors include Chunfu Shao, Chunfu Shao, Chengxiang Zhuge, Chaoying Yin, Yuli Shan, Stephen H. Richards, Lee D. Han, Xiaoquan Wang, Meng Meng and Jin Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Chunjiao Dong

38 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunjiao Dong China	13	292	217	153	147	127	42	584
Fabien Leurent France	13	429 1.5×	150 0.7×	234 1.5×	90 0.6×	92 0.7×	80	664
N. Nezamuddin India	10	145 0.5×	107 0.5×	97 0.6×	167 1.1×	88 0.7×	34	508
Bandhan Bandhu Majumdar India	16	340 1.2×	165 0.8×	125 0.8×	128 0.9×	32 0.3×	73	675
Pantelis Kopelias Greece	11	257 0.9×	198 0.9×	260 1.7×	123 0.8×	196 1.5×	30	640
Stefano Carrese Italy	16	421 1.4×	276 1.3×	428 2.8×	99 0.7×	109 0.9×	53	872
Mohammad Miralinaghi United States	16	336 1.2×	118 0.5×	360 2.4×	148 1.0×	179 1.4×	40	615
De Zhao China	17	486 1.7×	289 1.3×	309 2.0×	184 1.3×	136 1.1×	46	781
Nicholas Lownes United States	15	491 1.7×	217 1.0×	254 1.7×	83 0.6×	156 1.2×	64	811
Anning Ni China	15	285 1.0×	188 0.9×	170 1.1×	50 0.3×	131 1.0×	38	611
Yetiş Şazi Murat Türkiye	10	213 0.7×	264 1.2×	69 0.5×	113 0.8×	259 2.0×	32	538

Countries citing papers authored by Chunjiao Dong

Since Specialization

Citations

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

Fields of papers citing papers by Chunjiao Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunjiao Dong

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

All Works

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20 of 20 papers shown

Dong, Chunjiao, et al.. (2025). On-road driving risk assessment of regular passenger buses based on multi-source data integration. Journal of Transportation Safety & Security. 17(12). 1418–1442. 1 indexed citations

Dong, Chunjiao, et al.. (2025). Towards recognizing cognitive distraction levels with low-cost and high-sensitive measures: The effectiveness of sample, approximate, and traditional steering entropies. Transportation Research Part F Traffic Psychology and Behaviour. 109. 1063–1079. 4 indexed citations

Wang, Shengyou, Chunjiao Dong, Chunfu Shao, et al.. (2024). Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model. Frontiers of Engineering Management. 12(4). 952–970. 1 indexed citations

Zhang, Dalin, et al.. (2024). LightCast: Efficient Traffic Flow Forecasting via an Integrated Compression Framework. IEEE Transactions on Intelligent Vehicles. 10(5). 3458–3467.

Sun, Xubin, et al.. (2023). Optimal Control Strategies for Metro Trains to Use the Regenerative Braking Energy: A Speed Profile Adjustment Approach. IEEE Transactions on Intelligent Transportation Systems. 24(6). 5883–5894. 12 indexed citations

Dong, Chunjiao, et al.. (2023). Overview of the identification of traffic accident-prone locations driven by big data. SHILAP Revista de lepidopterología. 2(1). 67–76. 5 indexed citations

Dong, Chunjiao, et al.. (2023). Modeling the Dynamic Choice of Travel Locations With the Spatial-Temporal Bounded Rationality. IEEE Access. 11. 125291–125306.

Dong, Chunjiao, et al.. (2023). Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns. Journal of Transport Geography. 109. 103597–103597. 25 indexed citations

Yan, Zheng, et al.. (2022). Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder–Decoder Model. IEEE Intelligent Transportation Systems Magazine. 15(3). 51–67. 9 indexed citations

10.

Shao, Chunfu, et al.. (2021). Inferring Inter-City Trip Purpose From the Perspective of the Group. IEEE Access. 9. 6388–6401. 3 indexed citations

11.

Dong, Chunjiao, et al.. (2021). Traffic Volume Prediction: A Fusion Deep Learning Model Considering Spatial–Temporal Correlation. Sustainability. 13(19). 10595–10595. 8 indexed citations

12.

Dong, Chunjiao, et al.. (2021). Operating Safety Evaluation of Battery-Electric Taxi Based on Spatio-Temporal Speed Parameters. Sustainability. 13(23). 13446–13446. 1 indexed citations

13.

Dong, Chunjiao, et al.. (2021). Identifying the Key Nodes and Sections of Urban Roadway Network Based on GPS Trajectory Data. Journal of Advanced Transportation. 2021. 1–14. 1 indexed citations

14.

Dong, Chunjiao, et al.. (2021). Travel choice behavior of large-scale events based on structural equation model. 219–219. 1 indexed citations

15.

Shao, Chunfu, et al.. (2020). A Framework for Intersection Traffic Safety Screening with the Implementation of Complex Network Theory. Journal of Advanced Transportation. 2020. 1–12. 6 indexed citations

16.

Zhao, Jin, et al.. (2020). Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data. IEEE Access. 8. 208158–208169. 57 indexed citations

17.

Dong, Chunjiao, et al.. (2016). Effects of Roadway Geometric Design Features on the Occurrences of Truck-Related Crashes. 2 indexed citations

18.

Meng, Meng, et al.. (2014). Traffic assignment model and algorithm with combined modes in a degradable transportation network. 3 indexed citations

19.

Dong, Chunjiao, Chunfu Shao, & Xia Li. (2009). Short-Term Traffic Flow Forecasting of Road Network Based on Spatial-Temporal Characteristics of Traffic Flow. 645–650. 10 indexed citations

20.

Li, Xia, et al.. (2008). Modeling Correlation of Holiday Trips and Activities Based on Structural Equation Model. Journal of Transportation Systems Engineering and Information Technology. 8(6). 91. 3 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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