Yi Huo

877 citations
35 papers · 623 · h-index 15

Impact in

    • Electric and Hybrid Vehicle Technologies
    • Advanced Battery Technologies Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Yi Huo

33 papers receiving 612 citations

Peers

Yi Huo
Comparison fields: 5 of 73
  • Automotive Engineering 194
  • Cancer Research 170
  • Immunology 77
  • Oncology 88
  • Molecular Biology 211
Replace Jufeng Zhang with:
Jufeng Zhang China
Mozhdeh Mohammadian Iran
Travis E. Abbott United States
Guangying Zhu China
Junzhong Sun China
H. Kim South Korea
Peter A. Mollica United States
Qiongyao Wang China
Eunmi Lee South Korea
Markus Jaeger Germany
Yi Huo relative to Jufeng Zhang China Jufeng Zhang's profile →
Citations per field
00.5×
Jufeng Zhang · 1×
Citations per year

Countries citing papers authored by Yi Huo

Since Specialization
Citations

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

Fields of papers citing papers by Yi Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi Huo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Huo Line = papers co-authored together Yi Huo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 201167
3 202354
4 201643
5 201939
6 201932
7 201831
8 202427
9 201727
10 201820
11 202118
12 202115
13 202114
14 201814
15 201814
16 201912
17 20208
18 20187
19
Real-time rule-based near-optimal control strategy for a single-motor multimode hybrid electric vehicle powertrain
20186
20 20085

About Yi Huo

Yi Huo is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Molecular Biology, Oncology and Cancer Research, having authored 35 papers that have together received 623 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (9 papers), Electric Vehicles and Infrastructure (7 papers), Advanced Battery Technologies Research (7 papers), CAR-T cell therapy research (4 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Automotive Engineering (194 citations), Cancer Research (170 citations), Immunology (77 citations), Oncology (88 citations) and Molecular Biology (211 citations). Yi Huo has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Angang Yang, Ali Emadi, Giovanni Belingardi, Pier Giuseppe Anselma, Wenjin Xi, Yufang Li, Fan Yang, Xu Chen, Tao Wang and Tianze Zhang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Journal of Experimental & Clinical Cancer Research, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, SAE technical papers on CD-ROM/SAE technical paper series and Immunobiology.

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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