Zonggen Yi

1.0k total citations
28 papers, 785 citations indexed

About

Zonggen Yi is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Zonggen Yi has authored 28 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 21 papers in Automotive Engineering and 5 papers in Energy Engineering and Power Technology. Recurrent topics in Zonggen Yi's work include Electric Vehicles and Infrastructure (17 papers), Advanced Battery Technologies Research (14 papers) and Transportation and Mobility Innovations (11 papers). Zonggen Yi is often cited by papers focused on Electric Vehicles and Infrastructure (17 papers), Advanced Battery Technologies Research (14 papers) and Transportation and Mobility Innovations (11 papers). Zonggen Yi collaborates with scholars based in United States and China. Zonggen Yi's co-authors include Péter Bauer, P.H. Bauer, John Smart, Matthew Shirk, Eric J. Dufek, Don Scoffield, Bor‐Rong Chen, Tanvir R. Tanim, Myungsoo Jun and Manish Mohanpurkar and has published in prestigious journals such as Journal of Power Sources, Applied Energy and Energy.

In The Last Decade

Zonggen Yi

27 papers receiving 757 citations

Peers

Zonggen Yi

EEE

CSE

TRANS

RESE

Jari Vepsäläinen Finland

Dingsong Cui China

Abbas Rajabi‐Ghahnavieh Iran

John Smart United States

Shengyin Li United States

T. Markel United States

Agileswari K. Ramasamy Malaysia

Yanchong Zheng China

Cedric De Cauwer Belgium

Jari Vepsäläinen Finland

Zonggen Yi

427 ×0.7

350 ×0.6

EEE

58 ×0.5

CSE

58 ×0.8

TRANS

47 ×1.0

RESE

Citations per year, relative to Zonggen Yi Zonggen Yi (= 1×) peers Jari Vepsäläinen

Countries citing papers authored by Zonggen Yi

Since Specialization

Citations

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

Fields of papers citing papers by Zonggen Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zonggen Yi

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

All Works

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20 of 20 papers shown

Yi, Zonggen, Congjian Wang, Tyler Westover, et al.. (2024). Design and optimization of a modular hydrogen-based integrated energy system to maximize revenue via nuclear-renewable sources. Energy. 313. 133763–133763. 11 indexed citations

Javaid, Ahmad Y., et al.. (2024). Using Hyperparameter Tuning via Deep Reinforcement Learning to Optimize Energy Storage Systems in an Integrated Energy System. 1–5.

Weddle, Peter J., Sang‐Wook Kim, Bor‐Rong Chen, et al.. (2023). Battery state-of-health diagnostics during fast cycling using physics-informed deep-learning. Journal of Power Sources. 585. 233582–233582. 38 indexed citations

Yi, Zonggen, Yusheng Luo, Tyler Westover, et al.. (2022). Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system. Applied Energy. 328. 120113–120113. 54 indexed citations

Kim, Sang‐Wook, Zonggen Yi, M. Ross Kunz, et al.. (2022). Accelerated battery life predictions through synergistic combination of physics-based models and machine learning. Cell Reports Physical Science. 3(9). 101023–101023. 25 indexed citations

Heben, Michael J., et al.. (2022). A Transactive Energy Framework for Hydrogen Production with Economically Viable Nuclear Power. 1–5. 4 indexed citations

Chen, Jun & Zonggen Yi. (2021). Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking. 808–813. 22 indexed citations

Yi, Zonggen & John Smart. (2021). A framework for integrated dispatching and charging management of an autonomous electric vehicle ride-hailing fleet. Transportation Research Part D Transport and Environment. 95. 102822–102822. 34 indexed citations

Kim, Sang‐Wook, Zonggen Yi, Tanvir R. Tanim, & Eric J. Dufek. (2021). Identification and Quantification of Aging Modes with Deep Learning Models. ECS Meeting Abstracts. MA2021-01(2). 195–195. 1 indexed citations

10.

Yi, Zonggen & Péter Bauer. (2018). Optimal Stochastic Eco-Routing Solutions for Electric Vehicles. IEEE Transactions on Intelligent Transportation Systems. 19(12). 3807–3817. 47 indexed citations

11.

Yi, Zonggen, John Smart, & Matthew Shirk. (2018). Energy impact evaluation for eco-routing and charging of autonomous electric vehicle fleet: Ambient temperature consideration. Transportation Research Part C Emerging Technologies. 89. 344–363. 77 indexed citations

12.

Yi, Zonggen & Don Scoffield. (2018). A Data-Driven Framework for Residential Electric Vehicle Charging Load Profile Generation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 519–524. 15 indexed citations

13.

Yi, Zonggen & Matthew Shirk. (2017). Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario. Transportation Research Part C Emerging Technologies. 86. 37–58. 50 indexed citations

14.

Yi, Zonggen & Péter Bauer. (2017). Adaptive Multiresolution Energy Consumption Prediction for Electric Vehicles. IEEE Transactions on Vehicular Technology. 66(11). 10515–10525. 40 indexed citations

15.

Yi, Zonggen & P.H. Bauer. (2016). Optimization models for placement of an energy-aware electric vehicle charging infrastructure. Transportation Research Part E Logistics and Transportation Review. 91. 227–244. 62 indexed citations

16.

Yi, Zonggen & Péter Bauer. (2016). Effects of environmental factors on electric vehicle energy consumption: a sensitivity analysis. IET Electrical Systems in Transportation. 7(1). 3–13. 45 indexed citations

17.

Yi, Zonggen & Péter Bauer. (2015). Sensitivity Analysis of Environmental Factors for Electric Vehicles Energy Consumption. 1–6. 19 indexed citations

18.

Yi, Zonggen & P.H. Bauer. (2015). Spatiotemporal Energy Demand Models for Electric Vehicles. IEEE Transactions on Vehicular Technology. 65(3). 1030–1042. 33 indexed citations

19.

Yi, Zonggen & P.H. Bauer. (2015). Optimal Speed Profiles for Sustainable Driving of Electric Vehicles. 1–6. 10 indexed citations

20.

Yi, Zonggen & P.H. Bauer. (2014). Energy Consumption Model and Charging Station Placement for Electric Vehicles. 150–156. 14 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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