Shangbo Wang

442 total citations
33 papers, 296 citations indexed

About

Shangbo Wang is a scholar working on Building and Construction, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Shangbo Wang has authored 33 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Building and Construction, 14 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Shangbo Wang's work include Traffic Prediction and Management Techniques (14 papers), Transportation Planning and Optimization (11 papers) and Indoor and Outdoor Localization Technologies (9 papers). Shangbo Wang is often cited by papers focused on Traffic Prediction and Management Techniques (14 papers), Transportation Planning and Optimization (11 papers) and Indoor and Outdoor Localization Technologies (9 papers). Shangbo Wang collaborates with scholars based in China, Australia and Germany. Shangbo Wang's co-authors include Guoqiang Mao, Wenwei Yue, Changle Li, Peibo Duan, Peter Jung, J. Andrew Zhang, Jiaming Wu, Changsheng Zhang, Guido H. Bruck and Chinh Ho and has published in prestigious journals such as IEEE Transactions on Signal Processing, Energy and IEEE Transactions on Vehicular Technology.

In The Last Decade

Shangbo Wang

30 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangbo Wang China 10 116 105 104 87 54 33 296
Kiam Beng Yeo Malaysia 11 106 0.9× 94 0.9× 85 0.8× 119 1.4× 35 0.6× 40 314
Manish Chaturvedi India 8 134 1.2× 119 1.1× 75 0.7× 61 0.7× 56 1.0× 34 309
Elmer R. Magsino Philippines 10 57 0.5× 168 1.6× 63 0.6× 76 0.9× 83 1.5× 51 291
Azhar Hussain China 8 121 1.0× 165 1.6× 70 0.7× 124 1.4× 86 1.6× 12 385
Roberto Sadao Yokoyama Brazil 10 206 1.8× 222 2.1× 90 0.9× 129 1.5× 65 1.2× 19 396
Rouhollah Rahmatizadeh United States 9 174 1.5× 41 0.4× 187 1.8× 53 0.6× 105 1.9× 15 373
Zilin Huang United States 12 110 0.9× 38 0.4× 107 1.0× 91 1.0× 79 1.5× 23 282
Baris Dundar United States 5 153 1.3× 166 1.6× 38 0.4× 60 0.7× 52 1.0× 6 366
Sumitra Ganesh United States 3 152 1.3× 102 1.0× 38 0.4× 61 0.7× 52 1.0× 7 306

Countries citing papers authored by Shangbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shangbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangbo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shangbo Wang. A scholar is included among the top collaborators of Shangbo 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 Shangbo Wang. Shangbo Wang 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.
Wang, Xinheng, et al.. (2025). Acoustic energy harvesting: Innovations in harvesters, efficiency enhancement techniques, and future applications. Sensors and Actuators A Physical. 390. 116584–116584.
2.
Wang, Shangbo, et al.. (2025). A knowledge-informed dynamic correlation modeling framework for lane-level traffic flow prediction. Information Fusion. 124. 103327–103327.
3.
Jia, Dongyao, et al.. (2025). Segment-then-refine: A general calibration framework incorporating intra-driver heterogeneity into Car-Following Models. Transportation Research Part C Emerging Technologies. 176. 105144–105144. 2 indexed citations
4.
Wang, Shangbo, et al.. (2025). An Adaptive Prediction Model for Randomly Distributed Traffic Data in Urban Road Networks. IEEE Transactions on Vehicular Technology. 74(5). 7188–7200. 1 indexed citations
5.
Wang, Shangbo, Dongyao Jia, Yuli Zhang, et al.. (2025). Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems. 26(8). 12183–12196.
6.
Long, Zhuo, et al.. (2025). DRL-GCNet: A Deep Reinforcement Learning and Graph Convolutional Network for Harmonic Drive Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–10. 4 indexed citations
7.
Wang, Shangbo, et al.. (2024). An efficient acoustic energy harvester by using deep learning-based traffic prediction. Energy. 308. 132806–132806. 1 indexed citations
8.
Wang, Shangbo, et al.. (2024). A high-performance conical-neck helmholtz resonator-based piezoelectric self-powered system for urban transportation. Applied Acoustics. 220. 109945–109945. 3 indexed citations
9.
Li, Baojiang, et al.. (2024). RSA-fusion: radar spatial attention fusion for object detection and classification. Multimedia Tools and Applications. 84(8). 4789–4808. 1 indexed citations
10.
Jia, Dongyao, et al.. (2023). A Novel Hybrid Car-Following Model Combining Kinetic Dynamics and Deep Learning Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 445–450. 1 indexed citations
11.
Zhang, Yuli, et al.. (2023). Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. 4584–4591. 5 indexed citations
12.
Yue, Wenwei, Changle Li, Shangbo Wang, Zhigang Xu, & Guoqiang Mao. (2020). Towards Enhanced Recovery and System Stability: Analytical Solutions for Dynamic Incident Effects in Road Networks. IEEE Transactions on Intelligent Transportation Systems. 23(1). 483–498. 12 indexed citations
13.
Ho, Chinh, David A. Hensher, & Shangbo Wang. (2020). Joint estimation of mode and time of day choice accounting for arrival time flexibility, travel time reliability and crowding on public transport. Journal of Transport Geography. 87. 102793–102793. 17 indexed citations
14.
Mao, Guoqiang, et al.. (2019). MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor. 4281–4286. 7 indexed citations
15.
Wang, Shangbo, Guoqiang Mao, & J. Andrew Zhang. (2019). Joint Time-of-Arrival Estimation for Coherent UWB Ranging in Multipath Environment With Multi-User Interference. IEEE Transactions on Signal Processing. 67(14). 3743–3755. 32 indexed citations
16.
Wang, Shangbo & Guoqiang Mao. (2019). Fundamental Limits of Missing Traffic Data Estimation in Urban Networks. IEEE Transactions on Intelligent Transportation Systems. 21(3). 1191–1203. 2 indexed citations
17.
Duan, Peibo, Guoqiang Mao, Wenwei Yue, & Shangbo Wang. (2018). A Unified STARIMA based Model for Short-term Traffic Flow Prediction. 656. 1652–1657. 6 indexed citations
18.
Xu, Dong, et al.. (2010). Analysis of RSSI based positioning with multiband OFDM UWB. Future Network & Mobile Summit. 1–8. 3 indexed citations
19.
Wang, Shangbo, et al.. (2010). System implementation study on RSSI based positioning in UWB networks. 36–40. 15 indexed citations
20.
Wang, Shangbo, et al.. (2009). Java implementation of localization and tracking application based on HDR-UWB platform. 1–5. 2 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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