Aihua Ran

643 citations
18 papers · 485 · h-index 12

Impact in

Papers in

Aihua Ran

17 papers receiving 471 citations

Peers

Aihua Ran
Comparison fields: 5 of 42
  • Automotive Engineering 376
  • Electrical and Electronic Engineering 418
  • Safety, Risk, Reliability and Quality 25
  • Mechanical Engineering 102
  • Nuclear Energy and Engineering 1
Replace Karthik Radhakrishnan with:
Karthik Radhakrishnan United States
Susanne Rothgang Germany
Leo Wildfeuer Germany
Yingzhi Cui China
Nikolaos Wassiliadis Germany
Sandro Stock Germany
Limhi Somerville United Kingdom
Philipp Berg Germany
M. Waseem Marzook United Kingdom
Mengchao Yi China
Aihua Ran relative to Karthik Radhakrishnan United States Karthik Radhakrishnan's profile →
Citations per field
00.5×11×
Karthik Radhakrishnan · 1×
Citations per year

Countries citing papers authored by Aihua Ran

Since Specialization
Citations

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

Fields of papers citing papers by Aihua Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aihua Ran, 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 Aihua Ran Line = papers co-authored together Aihua Ran links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2019101
2 202056
3 202048
4 201844
5 202244
6 202242
7 202232
8 202030
9 202025
10 202222
11 202217
12 202213
13 20234
14 20163
15 20212
16 20221
17 20221
18 20210

About Aihua Ran

Aihua Ran is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Mechanical Engineering, Mechanics of Materials and Electronic, Optical and Magnetic Materials, having authored 18 papers that have together received 485 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (11 papers), Advanced Battery Materials and Technologies (5 papers), Extraction and Separation Processes (5 papers), Electric Vehicles and Infrastructure (4 papers), Supercapacitor Materials and Fabrication (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Machine Learning and ELM (1 paper). The work is most often cited by research in Automotive Engineering (376 citations), Electrical and Electronic Engineering (418 citations), Safety, Risk, Reliability and Quality (25 citations), Mechanical Engineering (102 citations) and Nuclear Energy and Engineering (1 citation). Aihua Ran has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Feiyu Kang, Xuan Zhang, Guodan Wei, Kun Qian, Shuxiao Chen, Baohua Li, Yan‐Bing He, Baohua Li, Binhua Huang and Guangmin Zhou. Their work appears in journals such as Journal of Power Sources, Renewable and Sustainable Energy Reviews, RSC Advances, ACS Energy Letters and Energy & environment materials.

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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