Haolin Yang

38 papers receiving 272 citations

Peers

Haolin Yang
Comparison fields: 5 of 93
  • Automotive Engineering 33
  • Renewable Energy, Sustainability and the Environment 39
  • Pollution 23
  • Energy Engineering and Power Technology 6
  • Industrial and Manufacturing Engineering 16
Replace Tzu-Chia Chen with:
Tzu-Chia Chen Taiwan
Mengxin Zheng United States
Nakyung Yoon South Korea
Cheng Xing China
Xiaohui Ren China
Shujie Hu China
Zhaobin Liu China
Ning Gong China
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202439
2 202327
3 202421
4 202220
5 202316
6 202213
7 202312
8 202212
9 202311
10 202011
11 20239
12 20229
13 20248
14 20228
15 20247
16 20246
17 20245
18 20234
19 20234
20 20244

About Haolin Yang

Haolin Yang is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering, having authored 41 papers that have together received 278 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (3 papers), Bone Metabolism and Diseases (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Geothermal Energy Systems and Applications (2 papers), Energy and Environment Impacts (2 papers), Irrigation Practices and Water Management (2 papers), Energy Efficiency and Management (2 papers) and Inorganic Fluorides and Related Compounds (2 papers). The work is most often cited by research in Automotive Engineering (33 citations), Renewable Energy, Sustainability and the Environment (39 citations), Pollution (23 citations), Energy Engineering and Power Technology (6 citations) and Industrial and Manufacturing Engineering (16 citations). Haolin Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kristen R. Schell, Yinyan Shi, Xiaochan Wang, Weijun Gao, Yao Wu, Guo Zhao, Xiaoping Yang, Zhuodi Cai, Huaping Li and Jiahao Zeng. Their work appears in journals such as Nanomaterials, International Journal of Electrical Power & Energy Systems, Water Research, Frontiers in Pharmacology and Optics Express.

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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