Weichen Yang

69 papers receiving 962 citations

Peers

Weichen Yang
Comparison fields: 5 of 73
  • Polymers and Plastics 263
  • Energy Engineering and Power Technology 42
  • Electrical and Electronic Engineering 750
  • Cellular and Molecular Neuroscience 133
  • Bioengineering 37
Replace Tianqi Gao with:
Tianqi Gao China
Enxiu Wu China
Kyung-Hyun Kim South Korea
Ahmedullah Aziz United States
Zijian Wang China
Ammar Nayfeh United Arab Emirates
Yawei Li China
Donghoon Han South Korea
Minseong Park South Korea
Hao Qiu China
Weichen Yang relative to Tianqi Gao China Tianqi Gao's profile →
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Citations per year

Countries citing papers authored by Weichen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 202263
3 201859
4 202152
5 202151
6 202035
7 202135
8 202232
9 202132
10 202025
11 202224
12 202124
13 202221
14 202221
15 202020
16 202119
17 202119
18 202218
19 201118
20 201817

About Weichen Yang

Weichen Yang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Control and Systems Engineering, Energy Engineering and Power Technology and Condensed Matter Physics, having authored 71 papers that have together received 974 indexed citations. Recurring topics across this work include Conducting polymers and applications (14 papers), Organic Electronics and Photovoltaics (13 papers), Advanced Memory and Neural Computing (13 papers), Microgrid Control and Optimization (10 papers), Power Systems and Renewable Energy (8 papers), Energy Load and Power Forecasting (7 papers), GaN-based semiconductor devices and materials (7 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Polymers and Plastics (263 citations), Energy Engineering and Power Technology (42 citations), Electrical and Electronic Engineering (750 citations), Cellular and Molecular Neuroscience (133 citations) and Bioengineering (37 citations). Weichen Yang has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Wen‐Chang Chen, Yan‐Cheng Lin, Ender Ercan, Shihong Miao, Yaowang Li, Ji Han, Chu‐Chen Chueh, Li‐Che Hsu, Dennis K. Hore and Chun‐Kai Chen. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, ACS Applied Materials & Interfaces, Advanced Electronic Materials, Synthetic Metals and Advanced Science.

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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