Jun‐Yu Wei

1.5k citations
10 papers · 1.4k · 2 hit papers · h-index 7

Impact in

Papers in

Jun‐Yu Wei

10 papers receiving 1.3k citations

Jun‐Yu Wei's Hit Papers

Lithium–Sulfur Batteries under Lean Electrolyte Conditions: Challenges and Opportunities 2019 · 661 citations
6610+2+5Years since publication200400600

Peers

Jun‐Yu Wei
Comparison fields: 5 of 30
  • Automotive Engineering 400
  • Electrical and Electronic Engineering 1.4k
  • Materials Chemistry 298
  • Polymers and Plastics 78
  • Electronic, Optical and Magnetic Materials 71
Replace Zipei Wan with:
Zipei Wan China
Hyungjun Noh South Korea
Qian Cheng China
Zhangxiang Hao China
Shaoke Guo China
Eunho Cha United States
Tuo Kang China
Chenxu Dong China
Jinlei Qin China
Jun‐Yu Wei relative to Zipei Wan China Zipei Wan's profile →
Citations per field
00.5×1.7×
Zipei Wan · 1×
Citations per year

Countries citing papers authored by Jun‐Yu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Yu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Yu Wei. 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 Jun‐Yu Wei. The network helps show where Jun‐Yu Wei may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Lithium–Sulfur Batteries under Lean Electrolyte Conditions: Challenges and Opportunities
Hit paper breakdown →
2019661
2
Activating Inert Metallic Compounds for High‐Rate Lithium–Sulfur Batteries Through In Situ Etching of Extrinsic Metal
Hit paper breakdown →
2018393
3 2020170
4 2019158
5 202418
6 201016
7 20199
8 20213
9 20202
10 20201

About Jun‐Yu Wei

Jun‐Yu Wei is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Mechanical Engineering, Waste Management and Disposal and Automotive Engineering, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (5 papers), Extraction and Separation Processes (3 papers), Conducting polymers and applications (3 papers), Advanced battery technologies research (2 papers), Chemical Synthesis and Characterization (1 paper), Thermal Expansion and Ionic Conductivity (1 paper) and Carbon Nanotubes in Composites (1 paper). The work is most often cited by research in Automotive Engineering (400 citations), Electrical and Electronic Engineering (1.4k citations), Materials Chemistry (298 citations), Polymers and Plastics (78 citations) and Electronic, Optical and Magnetic Materials (71 citations). Jun‐Yu Wei has collaborated with scholars based in China and Japan. Frequent co-authors include Huang-Jia-Qi, Bo‐Quan Li, Hong‐Jie Peng, Meng Zhao, Hong Yuan, Qiang Zhang, Zewen Zhang, Xiang Chen, Jin Xie and Xiao Chen. Their work appears in journals such as Angewandte Chemie International Edition, Small Methods, Hydrometallurgy, Advanced Materials and The Journal of Physical Chemistry C.

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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