Huapu Lu

2.5k total citations
201 papers, 1.8k citations indexed

About

Huapu Lu is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Huapu Lu has authored 201 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Transportation, 88 papers in Building and Construction and 62 papers in Control and Systems Engineering. Recurrent topics in Huapu Lu's work include Transportation Planning and Optimization (89 papers), Traffic Prediction and Management Techniques (73 papers) and Traffic control and management (49 papers). Huapu Lu is often cited by papers focused on Transportation Planning and Optimization (89 papers), Traffic Prediction and Management Techniques (73 papers) and Traffic control and management (49 papers). Huapu Lu collaborates with scholars based in China, United States and Japan. Huapu Lu's co-authors include Zhiyuan Sun, Yu Ding, Yonghua Zhou, Hu Peng, Hamido Fujita, Jifeng Wang, Jianyu Wang, Lu Zhao, Yanyan Chen and Yongnan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Huapu Lu

177 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huapu Lu China 21 903 655 425 314 297 201 1.8k
Manoranjan Parida India 24 1.1k 1.3× 733 1.1× 298 0.7× 370 1.2× 379 1.3× 160 2.1k
Ning Jia China 24 878 1.0× 432 0.7× 540 1.3× 447 1.4× 148 0.5× 102 1.9k
Dongjoo Park South Korea 24 1.2k 1.3× 1.1k 1.7× 563 1.3× 317 1.0× 406 1.4× 117 2.3k
Shawn Turner United States 21 1.1k 1.2× 820 1.3× 488 1.1× 146 0.5× 437 1.5× 109 1.8k
Geoff Rose Australia 19 726 0.8× 507 0.8× 559 1.3× 302 1.0× 397 1.3× 59 1.4k
Jun-Seok Oh United States 23 745 0.8× 632 1.0× 519 1.2× 315 1.0× 449 1.5× 141 1.9k
Lee D. Han United States 25 1.3k 1.4× 1.3k 2.0× 845 2.0× 463 1.5× 436 1.5× 110 2.4k
Nour‐Eddin El Faouzi France 21 681 0.8× 671 1.0× 693 1.6× 350 1.1× 161 0.5× 90 1.6k
Praveen Edara United States 23 690 0.8× 715 1.1× 838 2.0× 444 1.4× 613 2.1× 123 1.7k

Countries citing papers authored by Huapu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Huapu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huapu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Huapu Lu. A scholar is included among the top collaborators of Huapu Lu 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 Huapu Lu. Huapu Lu 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.
Sun, Zhiyuan, et al.. (2024). Considering multi-scale built environment in modeling severity of traffic violations by elderly drivers: An interpretable machine learning framework. Accident Analysis & Prevention. 207. 107740–107740. 4 indexed citations
2.
Wang, Jing, et al.. (2024). The roadmap and strategy for prioritizing the development of public transport in China. SHILAP Revista de lepidopterología. 4(1). 100184–100184.
3.
Sun, Zhiyuan, Xin Gu, Mohamed Abdel‐Aty, et al.. (2023). A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes. Accident Analysis & Prevention. 192. 107235–107235. 33 indexed citations
4.
Wang, Jianyu, et al.. (2023). Analyzing the Risk Factors of Traffic Accident Severity Using a Combination of Random Forest and Association Rules. Applied Sciences. 13(14). 8559–8559. 16 indexed citations
5.
Lu, Huapu, et al.. (2023). A Rescheduling Approach for Freight Railway considering Equity and Efficiency by an Integrated Genetic Algorithm. Journal of Advanced Transportation. 2023. 1–22. 4 indexed citations
6.
Zhang, Yongnan, Yonghua Zhou, Huapu Lu, & Hamido Fujita. (2021). Cooperative multi-agent actor–critic control of traffic network flow based on edge computing. Future Generation Computer Systems. 123. 128–141. 30 indexed citations
7.
Zhang, Yongnan, Yonghua Zhou, Huapu Lu, & Hamido Fujita. (2021). Spark Cloud-Based Parallel Computing for Traffic Network Flow Predictive Control Using Non-Analytical Predictive Model. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7708–7720. 21 indexed citations
8.
Lu, Huapu, et al.. (2021). Predicting and Interpreting Spatial Accidents through MDLSTM. International Journal of Environmental Research and Public Health. 18(4). 1430–1430. 2 indexed citations
9.
Zhang, Yongnan, Yonghua Zhou, Huapu Lu, & Hamido Fujita. (2020). Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud. IEEE Transactions on Industrial Informatics. 16(12). 7369–7380. 31 indexed citations
10.
Jiao, Pengpeng, et al.. (2020). Optimization Model of Traffic Sensor Layout considering Traffic Big Data. Journal of Advanced Transportation. 2020. 1–11. 7 indexed citations
11.
Lu, Huapu. (2011). Robust Transportation Network Design under Demand Uncertainty. Urban Transport of China. 1 indexed citations
12.
Lu, Huapu. (2009). Approaches towards Realization of Urban Green Transportation. Urban Transport of China. 8 indexed citations
13.
Lu, Huapu. (2009). Non-parametric regression and application for short-term traffic flow forecasting. Journal of Tsinghua University(Science and Technology). 3 indexed citations
14.
Jiao, Pengpeng & Huapu Lu. (2006). Revised Approaches for Estimation of Time-Varying Origin-Destination Flows Using Time-Series of Link Counts. Transportation Research Board 85th Annual MeetingTransportation Research Board. 1 indexed citations
15.
Lu, Huapu. (2006). Urban Microscopic Traffic Simulation System and Its Application. Jisuanji fangzhen. 6 indexed citations
16.
Lu, Huapu. (2005). Study on Estimation of Dynamic Origin-Destination Flows in Expressway Corridors. Journal of Highway and Transportation Research and Development. 3 indexed citations
17.
Jiao, Pengpeng & Huapu Lu. (2005). DYNAMIC ORIGIN-DESTINATION FLOWS ESTIMATION FOR FREEWAY CORRIDORS USING GENETIC ALGORITHM. Journal of the Eastern Asia Society for transportation studies. 6. 2702–2717. 1 indexed citations
18.
Lu, Huapu. (2005). An assignment method for transit network and its practical application. Journal of Tsinghua University(Science and Technology). 1 indexed citations
19.
Lu, Huapu. (2004). Integrated model of urban land-use and modal split based on sustainable development. Journal of Tsinghua University(Science and Technology). 1 indexed citations
20.
Dai, Jifeng, et al.. (2003). STUDY ON THE METHOD IN TOURIST TRAFFIC IMPACT ANALYSIS.. Journal of Highway and Transportation Research and Development. 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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