Ziran Wang

4.8k total citations · 4 hit papers
101 papers, 3.0k citations indexed

About

Ziran Wang is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ziran Wang has authored 101 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Automotive Engineering, 40 papers in Control and Systems Engineering and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Ziran Wang's work include Traffic control and management (39 papers), Autonomous Vehicle Technology and Safety (31 papers) and Vehicular Ad Hoc Networks (VANETs) (15 papers). Ziran Wang is often cited by papers focused on Traffic control and management (39 papers), Autonomous Vehicle Technology and Safety (31 papers) and Vehicular Ad Hoc Networks (VANETs) (15 papers). Ziran Wang collaborates with scholars based in United States, China and Switzerland. Ziran Wang's co-authors include Matthew Barth, Guoyuan Wu, Kyungtae Han, Prashant Kumar Tiwari, Liangqi Yuan, Prashant Tiwari, Xishun Liao, Zhuang Hao, Xuezeng Zhao and Yunsheng Ma and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Journal of Cleaner Production.

In The Last Decade

Ziran Wang

97 papers receiving 3.0k citations

Hit Papers

Mobility Digital Twin: Concept, Architecture, Case Study,... 2022 2026 2023 2024 2022 2023 2024 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziran Wang United States 29 1.3k 1.2k 674 418 370 101 3.0k
Zhaojian Li United States 28 892 0.7× 1.4k 1.1× 532 0.8× 334 0.8× 525 1.4× 113 2.8k
Jiaqi Ma United States 33 1.9k 1.5× 1.8k 1.4× 774 1.1× 1.3k 3.0× 800 2.2× 177 4.3k
Guodong Yin China 41 3.6k 2.8× 2.4k 2.0× 1.0k 1.5× 268 0.6× 275 0.7× 344 5.0k
Wen Ding China 22 377 0.3× 619 0.5× 716 1.1× 260 0.6× 268 0.7× 87 1.9k
Tatsuya Suzuki Japan 23 829 0.6× 1.1k 0.9× 589 0.9× 57 0.1× 197 0.5× 295 2.4k
Changle Li China 37 794 0.6× 557 0.4× 2.1k 3.2× 221 0.5× 367 1.0× 304 5.2k
Shichun Yang China 45 3.9k 3.0× 1.3k 1.0× 4.1k 6.1× 346 0.8× 225 0.6× 239 6.3k
Javier Gozálvez Spain 32 970 0.7× 1.0k 0.8× 3.9k 5.8× 264 0.6× 379 1.0× 227 5.0k
Meng Wang China 39 3.0k 2.3× 3.9k 3.1× 678 1.0× 2.1k 4.9× 1.1k 3.0× 174 5.3k

Countries citing papers authored by Ziran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ziran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziran Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ziran Wang. A scholar is included among the top collaborators of Ziran 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 Ziran Wang. Ziran 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
2.
Wang, Ziran, Michael Grieves, Yonggang Wen, & Fan Xue. (2025). Special Issue on Digital Twins. IEEE Internet Computing. 29(1). 5–7. 1 indexed citations
3.
Cui, Can, Yupeng Zhou, Sung‐Yeon Park, et al.. (2025). On-Board Vision-Language Models (VLMs) for Personalized Motion Control of Autonomous Vehicles. 20349–20356. 1 indexed citations
4.
Zhang, Chengpeng, et al.. (2025). Recyclable flexible pressure, temperature, and humidity multimodal sensors based on micro-pyramidal structures and PVA/choline chloride/ethylene glycol. Sensors and Actuators B Chemical. 440. 137866–137866. 7 indexed citations
6.
Wang, Ziran, Ke Li, Qiao Chen, et al.. (2025). Ferroelectric-coupled MXene/BaTiO3 nanocomposite empowering flexible triboelectric nanogenerators for deep learning-enhanced human-machine health monitoring. Chemical Engineering Journal. 515. 163758–163758. 3 indexed citations
7.
Ma, Yunsheng, Xu Cao, Wenqian Ye, et al.. (2024). Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models. 4985–4995. 1 indexed citations
8.
Wang, Meizhen, et al.. (2024). Estimating rainfall intensity based on surveillance audio and deep-learning. Environmental Science and Ecotechnology. 22. 100450–100450. 6 indexed citations
9.
Cao, Xu, Tong Zhou, Yunsheng Ma, et al.. (2024). MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding. 21819–21830. 16 indexed citations
10.
Huang, Cong, Dongliang Li, Jialin Liu, et al.. (2023). A Flexible Aptameric Graphene Field‐Effect Nanosensor Capable of Automatic Liquid Collection/Filtering for Cytokine Storm Biomarker Monitoring in Undiluted Sweat. Advanced Functional Materials. 34(9). 25 indexed citations
11.
Yuan, Liangqi, et al.. (2023). Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. IEEE Transactions on Intelligent Vehicles. 9(1). 119–137. 89 indexed citations breakdown →
12.
Yuan, Liangqi, Lü Su, & Ziran Wang. (2023). Federated Transfer–Ordered–Personalized Learning for Driver Monitoring Application. IEEE Internet of Things Journal. 10(20). 18292–18301. 23 indexed citations
13.
Cui, Can, Yunsheng Ma, Juanwu Lu, & Ziran Wang. (2023). Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion. 2726–2733. 5 indexed citations
14.
Wang, Ziran, Kyungtae Han, & Prashant Kumar Tiwari. (2021). Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine. 1–4. 61 indexed citations
15.
Wang, Ziran, Xishun Liao, Xuanpeng Zhao, et al.. (2020). A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. 1–6. 98 indexed citations
16.
Wang, Ziran, Guoyuan Wu, & Matthew Barth. (2019). Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment. IEEE Transactions on Intelligent Transportation Systems. 21(5). 2029–2038. 135 indexed citations
17.
Wang, Meizhen, et al.. (2018). A multi-objective scheduling optimization algorithm of a camera network for directional road network coverage. PLoS ONE. 13(10). e0206038–e0206038. 1 indexed citations
18.
Wang, Ziran, Guoyuan Wu, & Matthew Barth. (2017). Developing a Distributed Consensus-Based Cooperative Adaptive Cruise Control (CACC) System. Transportation Research Board 96th Annual MeetingTransportation Research Board. 5 indexed citations
19.
Wang, Ziran, Guoyuan Wu, Peng Hao, Kanok Boriboonsomsin, & Matthew Barth. (2017). Developing a platoon-wide Eco-Cooperative Adaptive Cruise Control (CACC) system. eScholarship (California Digital Library). 1256–1261. 69 indexed citations
20.
Hao, Peng, Ziran Wang, Guoyuan Wu, Kanok Boriboonsomsin, & Matthew Barth. (2017). Intra-platoon vehicle sequence optimization for eco-cooperative adaptive cruise control. 1–6. 21 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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