Yiman Du

878 total citations
30 papers, 656 citations indexed

About

Yiman Du is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Yiman Du has authored 30 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 11 papers in Building and Construction and 9 papers in Transportation. Recurrent topics in Yiman Du's work include Traffic Prediction and Management Techniques (11 papers), Traffic control and management (10 papers) and Transportation Planning and Optimization (9 papers). Yiman Du is often cited by papers focused on Traffic Prediction and Management Techniques (11 papers), Traffic control and management (10 papers) and Transportation Planning and Optimization (9 papers). Yiman Du collaborates with scholars based in China, United States and United Kingdom. Yiman Du's co-authors include Jianping Wu, Yuhan Jia, Xia Jin, Mohammad Lavasani, Geqi Qi, Senyan Yang, Ming Xu, Moshe Ben‐Akiva, Ravi Seshadri and Hamidreza Asgari and has published in prestigious journals such as Green Chemistry, IEEE Transactions on Intelligent Transportation Systems and Environmental Science and Pollution Research.

In The Last Decade

Yiman Du

28 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiman Du China 12 283 266 247 225 93 30 656
Yuelong Su China 15 337 1.2× 303 1.1× 227 0.9× 358 1.6× 188 2.0× 58 794
Pantelis Kopelias Greece 11 257 0.9× 198 0.7× 260 1.1× 196 0.9× 156 1.7× 30 640
Xiaojian Hu China 17 400 1.4× 230 0.9× 167 0.7× 351 1.6× 89 1.0× 66 716
Anning Ni China 15 285 1.0× 188 0.7× 170 0.7× 131 0.6× 56 0.6× 38 611
Shukai Chen China 17 326 1.2× 212 0.8× 364 1.5× 246 1.1× 53 0.6× 39 762
Masoud Hamedi United States 12 376 1.3× 347 1.3× 155 0.6× 162 0.7× 54 0.6× 39 647
Jifu Guo China 18 614 2.2× 414 1.6× 211 0.9× 291 1.3× 64 0.7× 66 936
Marc Miska Australia 12 259 0.9× 234 0.9× 92 0.4× 228 1.0× 44 0.5× 55 488
Ziyuan Gu China 16 553 2.0× 455 1.7× 341 1.4× 469 2.1× 81 0.9× 56 906

Countries citing papers authored by Yiman Du

Since Specialization
Citations

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

Fields of papers citing papers by Yiman Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiman Du

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

All Works

20 of 20 papers shown
1.
Du, Yiman, et al.. (2023). Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification. IET Intelligent Transport Systems. 17(8). 1649–1674. 1 indexed citations
2.
Du, Yiman, et al.. (2020). The Turnout Abnormality Diagnosis Based on Semi-Supervised Learning Method. International Journal of Software Engineering and Knowledge Engineering. 30(7). 961–976. 3 indexed citations
3.
Qi, Geqi, Jian Wu, Yang Zhou, et al.. (2018). Recognizing driving styles based on topic models. Transportation Research Part D Transport and Environment. 66. 13–22. 36 indexed citations
4.
Yang, Senyan, et al.. (2017). Ensemble Learning for Short-Term Traffic Prediction Based on Gradient Boosting Machine. Journal of Sensors. 2017. 1–15. 81 indexed citations
5.
Hu, Dongmei, Jianping Wu, Kun Tian, et al.. (2017). Urban air quality, meteorology and traffic linkages: Evidence from a sixteen-day particulate matter pollution event in December 2015, Beijing. Journal of Environmental Sciences. 59. 30–38. 31 indexed citations
6.
Du, Yiman, et al.. (2017). Predicting vehicle fuel consumption patterns using floating vehicle data. Journal of Environmental Sciences. 59. 24–29. 34 indexed citations
7.
Asgari, Hamidreza, Xia Jin, & Yiman Du. (2016). Examining the Impacts of Telecommuting on the Time-Use of Non-Mandatory Activities. 1 indexed citations
8.
Qi, Geqi, Jian Wu, Yiman Du, & Yuhan Jia. (2016). Driving styles during rapid urbanization. Journal of Tsinghua University(Science and Technology). 56(12). 1320–1326. 1 indexed citations
9.
Lavasani, Mohammad, Xia Jin, & Yiman Du. (2016). Market Penetration Model for Autonomous Vehicles Based on Previous Technology Adoption Experiences. 10 indexed citations
10.
Jia, Yuhan, Jianping Wu, & Yiman Du. (2016). Traffic speed prediction using deep learning method. IEEE Conference Proceedings. 2016. 1222. 24 indexed citations
11.
Asgari, Hamidreza, Xia Jin, & Yiman Du. (2016). Investigation of Commute Departure Time to Understand the Impacts of Part-Day Telecommuting on the Temporal Displacement of Commute Travel. Transportation Research Board 95th Annual MeetingTransportation Research Board. 6 indexed citations
12.
Lavasani, Mohammad, Xia Jin, & Yiman Du. (2016). Market Penetration Model for Autonomous Vehicles on the Basis of Earlier Technology Adoption Experience. Transportation Research Record Journal of the Transportation Research Board. 2597(1). 67–74. 102 indexed citations
13.
Du, Yiman, Jianping Wu, Yuhan Jia, & Ming Xu. (2016). An Improved MFD based Regional Traffic Volume Dynamic Control. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2016. 279–284.
14.
Qi, Geqi, Yiman Du, Jianping Wu, & Ming Xu. (2015). Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis. IET Intelligent Transport Systems. 9(8). 792–801. 59 indexed citations
15.
Hu, Dongmei, Yang Zhou, Ming Xu, et al.. (2015). Identifying regional service function from PM2.5 mass concentration throughout a city with non-negative tensor factorization approach. Environmental Science and Pollution Research. 24(35). 26893–26900. 2 indexed citations
16.
Xu, Ming, et al.. (2015). Map Matching Based on Conditional Random Fields and Route Preference Mining for Uncertain Trajectories. Mathematical Problems in Engineering. 2015. 1–13. 11 indexed citations
17.
Jia, Yuhan, et al.. (2014). Impacts of rainfall weather on urban traffic in beijing: analysis and modeling. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Wu, Jianping, Geqi Qi, & Yiman Du. (2012). A high performance traffic flow forecasting and management method: Traffic simulation platform. 443–449. 1 indexed citations
19.
Zhang, Xuan, Jianping Wu, & Yiman Du. (2012). The study of critical nodes of road network based on traffic shockwave model. 102–107. 2 indexed citations
20.
Guo, Min, et al.. (2008). Simulation Study of Mixed Traffic in China--a Practice in Beijing. 5. 281–285. 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.

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