Ben Yang

1.7k citations
34 papers · 1.4k · h-index 19

Impact in

Papers in

Ben Yang

32 papers receiving 1.4k citations

Peers

Ben Yang
Comparison fields: 5 of 61
  • Polymers and Plastics 424
  • Cellular and Molecular Neuroscience 500
  • Electrical and Electronic Engineering 1.2k
  • Bioengineering 42
  • Artificial Intelligence 206
Replace Yiwei Zhao with:
Yiwei Zhao China
Rengjian Yu China
Changsong Gao China
Tongrui Sun China
Youhui Chen China
Junhwan Choi South Korea
Yongbiao Zhai China
Gyeong‐Tak Go South Korea
Ya Lin China
Sung‐Yong Min South Korea
Ben Yang relative to Yiwei Zhao China Yiwei Zhao's profile →
Citations per field
00.5×1.5×
Yiwei Zhao · 1×
Citations per year

Countries citing papers authored by Ben Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ben Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018284
2 2020203
3 2019105
4 202293
5 202187
6 202165
7 202157
8 202252
9 202146
10 202043
11 202340
12 202239
13 202134
14 202134
15 202233
16 202229
17 202128
18 202323
19 202223
20 202217

About Ben Yang

Ben Yang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience, Materials Chemistry and Automotive Engineering, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Photoreceptor and optogenetics research (8 papers), Perovskite Materials and Applications (7 papers), Transition Metal Oxide Nanomaterials (6 papers), Conducting polymers and applications (6 papers), Advancements in Battery Materials (4 papers), Advanced Battery Technologies Research (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). The work is most often cited by research in Polymers and Plastics (424 citations), Cellular and Molecular Neuroscience (500 citations), Electrical and Electronic Engineering (1.2k citations), Bioengineering (42 citations) and Artificial Intelligence (206 citations). Ben Yang has collaborated with scholars based in China and United States. Frequent co-authors include Jia Huang, Shilei Dai, Dapeng Liu, Dandan Hao, Junyao Zhang, Yan Wang, Yingli Chu, Kai Wang, Xiaohan Wu and Pu Guo. Their work appears in journals such as Small, Advanced Materials, Nano Research, Journal of Materials Chemistry C and Chemical Communications.

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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