Pu Wang

7.7k total citations · 5 hit papers
77 papers, 5.3k citations indexed

About

Pu Wang is a scholar working on Transportation, Building and Construction and Statistical and Nonlinear Physics. According to data from OpenAlex, Pu Wang has authored 77 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Transportation, 29 papers in Building and Construction and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Pu Wang's work include Human Mobility and Location-Based Analysis (41 papers), Transportation Planning and Optimization (41 papers) and Traffic Prediction and Management Techniques (26 papers). Pu Wang is often cited by papers focused on Human Mobility and Location-Based Analysis (41 papers), Transportation Planning and Optimization (41 papers) and Traffic Prediction and Management Techniques (26 papers). Pu Wang collaborates with scholars based in China, United States and Finland. Pu Wang's co-authors include Albert-Ĺaszló Barabási, Tao Lin, Marta C. González, Haifeng Li, Ling Zhao, Min Deng, Yu Liu, Chao Zhang, Chaoming Song and Tal Koren and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pu Wang

73 papers receiving 5.1k citations

Hit Papers

5 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.

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

2019 2.0k citations Ling Zhao, Pu Wang et al. IEEE Transactions on Intelligent Transportation Systems profile →
Modelling the scaling properties of human mobility

2010 912 citations Chaoming Song, Tal Koren et al. Nature Physics profile →
Development of origin–destination matrices using mobile phone call data

2014 362 citations Shahadat Iqbal, Charisma F. Choudhury et al. Transportation Research Part C Emerging Technologies profile →
Understanding the Spreading Patterns of Mobile Phone Viruses

2009 356 citations Pu Wang, Marta C. González et al. profile →
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

2022 119 citations Jiawei Zhu, Xing Han et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pu Wang China	23	3.2k	2.3k	786	558	549	77	5.3k
Jing Jiang Australia	20	1.2k 0.4×	1.8k 0.8×	717 0.9×	384 0.7×	2.2k 4.1×	91	5.2k
Jinjun Tang China	39	2.4k 0.7×	2.2k 1.0×	1.3k 1.7×	214 0.4×	377 0.7×	182	5.0k
Min Deng China	26	1.6k 0.5×	1.7k 0.8×	650 0.8×	100 0.2×	762 1.4×	176	4.3k
Haifeng Li China	38	1.4k 0.4×	2.0k 0.9×	914 1.2×	119 0.2×	2.0k 3.6×	217	7.6k
Lijun Sun Canada	34	2.0k 0.6×	1.4k 0.6×	488 0.6×	156 0.3×	468 0.9×	133	4.1k
Senzhang Wang China	35	980 0.3×	1.2k 0.5×	433 0.6×	548 1.0×	1.8k 3.3×	157	4.1k
Xuan Song China	38	1.5k 0.5×	1.3k 0.6×	263 0.3×	77 0.1×	800 1.5×	199	4.6k
Christophe Claramunt France	29	784 0.2×	1.1k 0.5×	210 0.3×	167 0.3×	367 0.7×	216	3.8k
Francesco Calabrese Italy	33	3.2k 1.0×	736 0.3×	156 0.2×	391 0.7×	186 0.3×	142	5.4k
Michael Schreckenberg Germany	45	5.7k 1.8×	3.3k 1.5×	7.0k 8.9×	682 1.2×	254 0.5×	156	10.8k

Countries citing papers authored by Pu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Wang. A scholar is included among the top collaborators of Pu Wang 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 Pu Wang. Pu Wang 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

Lin, Lin, et al.. (2024). A new FCM-XGBoost system for predicting Pavement Condition Index. Expert Systems with Applications. 249. 123696–123696. 13 indexed citations

Liang, Zuo‐Qin, Zihang Zhang, Pu Wang, et al.. (2024). Multi-stimuli geminate encryption based on triphenylethylene for advanced anti-counterfeiting. Chemical Engineering Journal. 502. 158090–158090. 3 indexed citations

Gao, Yang, Bo Liu, Pu Wang, & Pei Wang. (2024). Acceleration of ResNet18 Based on Run-time Inference Engine. 508–511.

Guo, Bao, et al.. (2024). Uncovering spatiotemporal human mobility patterns in urban agglomerations: A mobility field based approach. Physica A Statistical Mechanics and its Applications. 637. 129571–129571. 1 indexed citations

Chen, Zhiqiang, et al.. (2024). A K-Shape Clustering Based Transformer-Decoder Model for Predicting Multi-Step Potentials of Urban Mobility Field. IEEE Transactions on Intelligent Transportation Systems. 25(8). 10298–10312. 6 indexed citations

Guo, Bao, et al.. (2023). A New Individual Mobility Prediction Model Applicable to Both Ordinary Conditions and Large Crowding Events. Journal of Advanced Transportation. 2023. 1–14. 1 indexed citations

Guo, Bao, et al.. (2023). A new anomalous travel demand prediction method combining Markov model and complex network model. Physica A Statistical Mechanics and its Applications. 619. 128697–128697. 4 indexed citations

Wang, Kaipeng, et al.. (2023). An origin–destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism. Expert Systems with Applications. 238. 121989–121989. 21 indexed citations

Wang, Pu, et al.. (2023). A new targeted on-ramp control approach considering both efficiency and equity. Transportation Safety and Environment. 6(3). 2 indexed citations

10.

Zhu, Jiawei, Xing Han, Hanhan Deng, et al.. (2022). KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15055–15065. 119 indexed citations breakdown →

11.

Huang, Zhiren, et al.. (2018). Predicting subway passenger flows under different traffic conditions. PLoS ONE. 13(8). e0202707–e0202707. 24 indexed citations

12.

Huang, Zhiren, et al.. (2018). Modeling real-time human mobility based on mobile phone and transportation data fusion. Transportation Research Part C Emerging Technologies. 96. 251–269. 111 indexed citations

13.

Iqbal, Shahadat, Charisma F. Choudhury, Marta C. González, & Pu Wang. (2014). Development of Origin-Destination Matrices Using Mobile Phone Call Data: A Simulation Based Approach. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations

14.

Xu, Zhongzhi, et al.. (2014). The Loss of Efficiency Caused by Agents’ Uncoordinated Routing in Transport Networks. PLoS ONE. 9(10). e111088–e111088. 2 indexed citations

15.

Ren, Yihui, Mária Ercsey-Ravasz, Pu Wang, Marta C. González, & Zoltán Toroczkai. (2014). Predicting commuter flows in spatial networks using a radiation model based on temporal ranges. Nature Communications. 5(1). 5347–5347. 134 indexed citations

16.

Wang, Junjie, et al.. (2013). Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks. PLoS ONE. 8(11). e80178–e80178. 31 indexed citations

17.

Wang, Pu. (2013). The Promethean translator and cannibalistic pains: Lu Xun's “hard translation” as a political allegory. Translation Studies. 6(3). 324–338. 3 indexed citations

18.

Wang, Pu, Timothy Hunter, Alexandre M. Bayen, Katja Schechtner, & Marta C. González. (2012). Understanding Road Usage Patterns in Urban Areas. Scientific Reports. 2(1). 1001–1001. 267 indexed citations

19.

Song, Chaoming, Tal Koren, Pu Wang, & Albert-Ĺaszló Barabási. (2010). Modelling the scaling properties of human mobility. Nature Physics. 6(10). 818–823. 912 indexed citations breakdown →

20.

Luo, Shenglian, Lin Yuan, Liyuan Chai, et al.. (2006). Biosorption behaviors of Cu2+, Zn2+, Cd2+ and mixture by waste activated sludge. Transactions of Nonferrous Metals Society of China. 16(6). 1431–1435. 27 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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