Wei-An Chen

41 papers receiving 524 citations

Wei-An Chen's Hit Papers

Large language models for building energy applications: Opportunities and challenges 2025 · 31 citations
310Years since publication102030

Peers

Wei-An Chen
Comparison fields: 5 of 100
  • Building and Construction 188
  • Process Chemistry and Technology 24
  • Environmental Engineering 115
  • Renewable Energy, Sustainability and the Environment 109
  • Biomaterials 36
Replace Sung Min Hong with:
Sung Min Hong South Korea
Luyi Xu China
Cristian Dincă Romania
Hui Du China
Wei Pan China
Xiaoyu Han China
Marcin Górski Poland
Yinshan Liu China
Jia Lu China
Shiyu Zhou China
Wei-An Chen relative to Sung Min Hong South Korea Sung Min Hong's profile →
Citations per field
00.5×4.5×
Sung Min Hong · 1×
Citations per year

Countries citing papers authored by Wei-An Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei-An Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-An Chen. 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 Wei-An Chen. The network helps show where Wei-An Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200959
2 202358
3 202235
4
Large language models for building energy applications: Opportunities and challenges
Hit paper breakdown →
202531
5 202431
6 201631
7 202230
8 202228
9 202226
10 202321
11 202116
12 202115
13 202414
14 202412
15 201212
16 202310
17 202410
18 20249
19 20249
20 20249

About Wei-An Chen

Wei-An Chen is a scholar working on Building and Construction, Electrical and Electronic Engineering, Environmental Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 44 papers that have together received 535 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (14 papers), Urban Heat Island Mitigation (10 papers), Energy and Environment Impacts (5 papers), Smart Grid Energy Management (5 papers), Wind and Air Flow Studies (4 papers), Network Security and Intrusion Detection (4 papers), Solar Radiation and Photovoltaics (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Building and Construction (188 citations), Process Chemistry and Technology (24 citations), Environmental Engineering (115 citations), Renewable Energy, Sustainability and the Environment (109 citations) and Biomaterials (36 citations). Wei-An Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ruey‐Lung Hwang, Mingzhe Liu, Yuan Gao, Zehuan Hu, Bing‐Mae Chen, Y. Barenholz, Yi‐Chen Lin, Jongyeon Lim, Yasunori Akashi and Shohei Miyata. Their work appears in journals such as Applied Energy, Building and Environment, Renewable Energy, Energy and Buildings and Atmosphere.

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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