Haolin Yang

38 papers receiving 313 citations

Peers

Haolin Yang
Comparison fields: 5 of 86
  • Automotive Engineering 38
  • Renewable Energy, Sustainability and the Environment 42
  • Pollution 23
  • Industrial and Manufacturing Engineering 17
  • Energy Engineering and Power Technology 6
Replace Tzu-Chia Chen with:
Tzu-Chia Chen Taiwan
Mengxin Zheng United States
Jiayi Yang China
Tao Wei China
Zakir Hussain India
Bo Xie China
Zhaobin Liu China
Cheng Xing China
Nakyung Yoon South Korea
Haolin Yang relative to Tzu-Chia Chen Taiwan Tzu-Chia Chen's profile →
Citations per field
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Tzu-Chia Chen · 1×
Citations per year

Countries citing papers authored by Haolin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haolin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haolin 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 Haolin Yang Line = papers co-authored together Haolin Yang 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 202448
2 202331
3 202424
4 202221
5 202316
6 202313
7 202213
8 202312
9 202212
10 202411
11 202011
12 202311
13 20229
14 20229
15 20249
16 20247
17 20235
18 20245
19 20235
20 20234

About Haolin Yang

Haolin Yang is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Biomedical Engineering, Materials Chemistry and Computer Networks and Communications, having authored 44 papers that have together received 316 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (3 papers), Energy Efficiency and Management (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Luminescence Properties of Advanced Materials (2 papers), Energy and Environment Impacts (2 papers), Neural Networks Stability and Synchronization (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Automotive Engineering (38 citations), Renewable Energy, Sustainability and the Environment (42 citations), Pollution (23 citations), Industrial and Manufacturing Engineering (17 citations) and Energy Engineering and Power Technology (6 citations). Haolin Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kristen R. Schell, Xiaochan Wang, Yinyan Shi, Guo Zhao, Yao Wu, Weijun Gao, Huaping Li, Tongyu Xu, Jiahao Zeng and Zhuodi Cai. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Nanomaterials, Frontiers in Pharmacology, Water Research and Environmental Pollution.

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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