Yaobang Gong

504 total citations
18 papers, 361 citations indexed

About

Yaobang Gong is a scholar working on Building and Construction, Control and Systems Engineering and Transportation. According to data from OpenAlex, Yaobang Gong has authored 18 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Building and Construction, 10 papers in Control and Systems Engineering and 9 papers in Transportation. Recurrent topics in Yaobang Gong's work include Traffic Prediction and Management Techniques (11 papers), Traffic control and management (10 papers) and Traffic and Road Safety (7 papers). Yaobang Gong is often cited by papers focused on Traffic Prediction and Management Techniques (11 papers), Traffic control and management (10 papers) and Traffic and Road Safety (7 papers). Yaobang Gong collaborates with scholars based in United States, China and South Korea. Yaobang Gong's co-authors include Mohamed Abdel‐Aty, Qing Cai, Jinghui Yuan, Xianfeng Yang, Md Sharikur Rahman, Qinzheng Wang, Pan Lu, Juneyoung Park, Pengpeng Xu and Jaeyoung Lee and has published in prestigious journals such as Accident Analysis & Prevention, Transportation Research Part C Emerging Technologies and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Yaobang Gong

17 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaobang Gong United States 8 215 199 164 115 112 18 361
Nada Mahmoud United States 10 166 0.8× 173 0.9× 121 0.7× 120 1.0× 129 1.2× 18 352
Zhengwu Wang China 11 83 0.4× 109 0.5× 134 0.8× 123 1.1× 114 1.0× 42 335
Kui Yang China 10 198 0.9× 284 1.4× 115 0.7× 79 0.7× 115 1.0× 20 393
Amin Mohammadnazar United States 6 93 0.4× 178 0.9× 98 0.6× 96 0.8× 171 1.5× 11 335
Youn-Soo Kang South Korea 7 154 0.7× 132 0.7× 249 1.5× 220 1.9× 119 1.1× 19 405
Abolfazl Karimpour United States 11 122 0.6× 140 0.7× 69 0.4× 136 1.2× 80 0.7× 20 269
John Hourdos United States 10 249 1.2× 310 1.6× 266 1.6× 174 1.5× 139 1.2× 69 496
Xizhao Zhou China 11 88 0.4× 105 0.5× 146 0.9× 186 1.6× 66 0.6× 43 353
Jungwook Jun United States 9 123 0.6× 154 0.8× 66 0.4× 182 1.6× 104 0.9× 21 365

Countries citing papers authored by Yaobang Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yaobang Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaobang Gong

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

All Works

18 of 18 papers shown
1.
2.
Yue, Lishengsa, et al.. (2024). Personalized lane departure warning based on non-stationary crossformer and kernel density estimation. Alexandria Engineering Journal. 109. 856–870. 1 indexed citations
3.
Gong, Yaobang, et al.. (2024). MicroSimACC: an open database for field experiments on the potential capacity impact of commercial Adaptive Cruise Control (ACC). Transportmetrica A Transport Science. 22(1). 3 indexed citations
4.
Gong, Yaobang, Pan Lu, & Xianfeng Yang. (2023). Impact of COVID-19 on traffic safety from the “Lockdown” to the “New Normal”: A case study of Utah. Accident Analysis & Prevention. 184. 106995–106995. 20 indexed citations
5.
Zhang, Zhao, Yaobang Gong, & Xianfeng Yang. (2023). Secondary Crashes Identification and Modeling Along Highways in Utah. Transportation Research Record Journal of the Transportation Research Board. 2678(3). 613–624. 5 indexed citations
6.
Gong, Yaobang, et al.. (2022). Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah. Journal of Intelligent Transportation Systems. 28(4). 544–554. 2 indexed citations
7.
Wang, Qinzheng, Yaobang Gong, & Xianfeng Yang. (2022). Connected automated vehicle trajectory optimization along signalized arterial: A decentralized approach under mixed traffic environment. Transportation Research Part C Emerging Technologies. 145. 103918–103918. 23 indexed citations
8.
9.
Gong, Yaobang & Mohamed Abdel‐Aty. (2021). Using Machine Learning to Estimate Pedestrian and Bicyclist Count of Intersection by Bluetooth Low Energy. Journal of Transportation Engineering Part A Systems. 148(1). 2 indexed citations
10.
Gong, Yaobang, Mohamed Abdel‐Aty, Jinghui Yuan, & Qing Cai. (2020). Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control. Accident Analysis & Prevention. 144. 105655–105655. 50 indexed citations
11.
Abdel‐Aty, Mohamed, et al.. (2020). Development of Decision Support System for Integrated Active Traffic Management Systems Considering Travel Time Reliability. Transportation Research Record Journal of the Transportation Research Board. 2674(2). 167–180. 2 indexed citations
12.
Gong, Yaobang. (2020). Improving Traffic Safety and Efficiency by Adaptive Signal Control Systems Based on Deep Reinforcement Learning. Journal of International Crisis and Risk Communication Research. 1 indexed citations
13.
Lee, Jaeyoung, Mohamed Abdel‐Aty, Pengpeng Xu, & Yaobang Gong. (2019). Is the safety-in-numbers effect still observed in areas with low pedestrian activities? A case study of a suburban area in the United States. Accident Analysis & Prevention. 125. 116–123. 20 indexed citations
14.
Abdel‐Aty, Mohamed, et al.. (2019). Integrated Freeway/Arterial Active Traffic Management. 1 indexed citations
15.
Gong, Yaobang, Mohamed Abdel‐Aty, & Juneyoung Park. (2019). Evaluation and augmentation of traffic data including Bluetooth detection system on arterials. Journal of Intelligent Transportation Systems. 25(6). 561–573. 14 indexed citations
16.
Gong, Yaobang, Mohamed Abdel‐Aty, Qing Cai, & Md Sharikur Rahman. (2019). Decentralized network level adaptive signal control by multi-agent deep reinforcement learning. Transportation Research Interdisciplinary Perspectives. 1. 100020–100020. 54 indexed citations
17.
Yuan, Jinghui, Mohamed Abdel‐Aty, Yaobang Gong, & Qing Cai. (2019). Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network. Transportation Research Record Journal of the Transportation Research Board. 2673(4). 314–326. 149 indexed citations
18.
Gong, Yaobang. (2018). Evaluation and Augmentation of Traffic Data from Private Sector and Bluetooth Detection System on Arterials. Journal of International Crisis and Risk Communication Research. 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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