Xinqiao Wang
- Spectroscopy top 10%
- Aerogels and thermal insulation 3
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- Machine Learning in Materials Science 8
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- Computational Drug Discovery Methods 4
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- Surface Modification and Superhydrophobicity 2
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- Asymmetric Synthesis and Catalysis 3
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- Chemical Synthesis and Analysis 5
- Machine Learning in Bioinformatics 3
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- Advanced Battery Materials and Technologies 3
- Co-authors
- Baolu ShiHoujuan XingAnqi WangHongliang DuanHuan WangChengyun ZhangQiuyuan TanMin Zhang
- Journals
- Angewandte Chemie International Edition (1 paper)Applied Physics Letters (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xinqiao Wang
33 papers receiving 428 citations
Peers
Comparison fields: 5 of 99
- Spectroscopy 100
- Materials Chemistry 144
- Computational Theory and Mathematics 48
- Surfaces, Coatings and Films 19
- Organic Chemistry 68
Countries citing papers authored by Xinqiao Wang
This map shows the geographic impact of Xinqiao Wang'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 Xinqiao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinqiao Wang more than expected).
Fields of papers citing papers by Xinqiao Wang
This network shows the impact of papers produced by Xinqiao Wang. 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 Xinqiao Wang. The network helps show where Xinqiao Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinqiao Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 39 | |
| 9 | 2023 | 56 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 2 | |
| 17 | 2017 | 28 | |
| 18 | From Open Source to Commercial Software Development - the Community Based Software Development Model | 2013 | 3 |
| 19 | Analysis of the two-year outcome of subjects in epidemiologic survey on diabetes in Pingliang community of Shanghai | 2006 | 1 |
| 20 | Temperature dependence of spectral characteristics of vertical cavity surface emitting lasers | 1994 | 2 |
About Xinqiao Wang
Xinqiao Wang is a scholar working on Fluid Flow and Transfer Processes, General Materials Science and Computational Theory and Mathematics, having authored 35 papers that have together received 436 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Chemical Synthesis and Analysis (5 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (3 papers), Aerogels and thermal insulation (3 papers), Asymmetric Synthesis and Catalysis (3 papers), Advanced Battery Materials and Technologies (3 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Spectroscopy (100 citations), Materials Chemistry (144 citations) and Computational Theory and Mathematics (48 citations). Xinqiao Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Baolu Shi, Houjuan Xing, Anqi Wang, Hongliang Duan, Huan Wang, Chengyun Zhang, Qiuyuan Tan, Min Zhang, An Su and Yu Chen. Their work appears in journals such as Angewandte Chemie International Edition, Applied Physics Letters and Scientific Reports.
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.