Xinzhi Wang
- Automotive Engineering top 1%
- Advanced Battery Technologies Research 6
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- Fire Detection and Safety Systems 5
- Mechanical Engineering top 10%
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- Sentiment Analysis and Opinion Mining 11
- Advanced Text Analysis Techniques 9
- Topic Modeling 8
- Reinforcement Learning in Robotics 5
- Advanced Graph Neural Networks 5
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- Evacuation and Crowd Dynamics 5
- Co-authors
- Yurong HeGong ChengCe‐Wen NanTing LiuYibo ZhangXue ZhangYuanhua LinLiangliang Li
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityElectrical and Electronic Engineering
- Journals
- Scientific Reports (1 paper)ACS Applied Materials & Interfaces (2 papers)Applied Energy (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xinzhi Wang
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Automotive Engineering 522
- Safety, Risk, Reliability and Quality 124
- Electrical and Electronic Engineering 642
- Mechanical Engineering 245
- Industrial and Manufacturing Engineering 52
Countries citing papers authored by Xinzhi Wang
This map shows the geographic impact of Xinzhi 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 Xinzhi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinzhi Wang more than expected).
Fields of papers citing papers by Xinzhi Wang
This network shows the impact of papers produced by Xinzhi 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 Xinzhi Wang. The network helps show where Xinzhi Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinzhi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 25 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 2 | |
| 16 | 2020 | 16 | |
| 17 | 2016 | 7 | |
| 18 | Electric propulsion effects on DC Zonal Electrical Distribution system stability | 2012 | 0 |
| 19 | Prediction of facies-controlled reservoir karratha four in Tahe oilfield | 2009 | 1 |
| 20 | NON-LINEAR DYNAMIC STABILITY ANALYSIS OF SINGLE-LAYER CONICAL LATTICE SHELLS | 2005 | 1 |
About Xinzhi Wang
Xinzhi Wang is a scholar working on Artificial Intelligence, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (9 papers), Topic Modeling (8 papers), Advanced Battery Technologies Research (6 papers), Reinforcement Learning in Robotics (5 papers), Advanced Graph Neural Networks (5 papers), Evacuation and Crowd Dynamics (5 papers) and Fire Detection and Safety Systems (5 papers). The work is most often cited by research in Automotive Engineering (522 citations), Safety, Risk, Reliability and Quality (124 citations) and Electrical and Electronic Engineering (642 citations). Xinzhi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yurong He, Gong Cheng, Ce‐Wen Nan, Ting Liu, Yibo Zhang, Xue Zhang, Yuanhua Lin, Liangliang Li, Yang Shen and Xiangfeng Luo. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces and Applied Energy.
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.