Shengxuan Ding

431 total citations
8 papers, 207 citations indexed

About

Shengxuan Ding is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Building and Construction. According to data from OpenAlex, Shengxuan Ding has authored 8 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Automotive Engineering, 4 papers in Safety, Risk, Reliability and Quality and 4 papers in Building and Construction. Recurrent topics in Shengxuan Ding's work include Traffic Prediction and Management Techniques (4 papers), Traffic and Road Safety (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Shengxuan Ding is often cited by papers focused on Traffic Prediction and Management Techniques (4 papers), Traffic and Road Safety (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Shengxuan Ding collaborates with scholars based in United States and China. Shengxuan Ding's co-authors include Zijin Wang, Dongdong Wang, Ou Zheng, Bing Shi, Chuan Xu, Jiayi Yin, Renjie Yang, Zheng Qian, Heng Yin and Hanyao Huang and has published in prestigious journals such as Scientific Reports, Sustainability and Accident Analysis & Prevention.

In The Last Decade

Shengxuan Ding

7 papers receiving 200 citations

Peers

Shengxuan Ding
Shengxuan Ding
Citations per year, relative to Shengxuan Ding Shengxuan Ding (= 1×) peers Fahed Jubair

Countries citing papers authored by Shengxuan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shengxuan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengxuan Ding

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

All Works

8 of 8 papers shown
1.
Ding, Shengxuan, Mohamed Abdel‐Aty, Natalia Barbour, et al.. (2024). Exploratory analysis of injury severity under different levels of driving automation (SAE Levels 2 and 4) using multi-source data. Accident Analysis & Prevention. 206. 107692–107692. 10 indexed citations
2.
Ding, Shengxuan, Mohamed Abdel‐Aty, Zijin Wang, & Dongdong Wang. (2024). Insights into vehicle conflicts based on traffic flow dynamics. Scientific Reports. 14(1). 1536–1536. 11 indexed citations
4.
Dong, Shi, et al.. (2024). How do environmental and road factors impact automated vehicle crashes? An evidence from ADAS and ADS. Journal of Transportation Safety & Security. 17(4). 376–404. 2 indexed citations
5.
Ding, Shengxuan, et al.. (2023). Comparative Analysis of Machine-Learning Models for Recognizing Lane-Change Intention Using Vehicle Trajectory Data. Infrastructures. 8(11). 156–156. 4 indexed citations
6.
Huang, Hanyao, Ou Zheng, Dongdong Wang, et al.. (2023). ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model. International Journal of Oral Science. 15(1). 29–29. 174 indexed citations
7.
Xia, Stephen, et al.. (2023). A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale. 427–438. 2 indexed citations
8.
Ding, Shengxuan, et al.. (2023). Clustering Framework to Identify Traffic Conflicts and Determine Thresholds Based on Trajectory Data. SSRN Electronic Journal. 4 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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