Xinke Li
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
- Spectroscopy top 10%
- Molecular Sensors and Ion Detection
Papers in
-
- Advanced biosensing and bioanalysis techniques 6
- Co-authors
- Jinliang Yuan (3 shared papers)Jiapei Zhao (3 shared papers)Yongcai Guo (4 shared papers)Yongming Li (8 shared papers)Chaoyu Liang (1 shared paper)Haitang Qiu (5 shared papers)Caiyun Liu (12 shared papers)Hanchuang Zhu (11 shared papers)
- Journals
- Chemical Engineering Journal (3 papers)Bioorganic Chemistry (2 papers)Talanta (2 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)Energies (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xinke Li
79 papers receiving 977 citations
Peers
Comparison fields: 5 of 139
- Automotive Engineering 177
- Spectroscopy 101
- Bioengineering 30
- Electrical and Electronic Engineering 297
- Industrial and Manufacturing Engineering 42
Countries citing papers authored by Xinke Li
This map shows the geographic impact of Xinke Li'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 Xinke Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinke Li more than expected).
Fields of papers citing papers by Xinke Li
This network shows the impact of papers produced by Xinke Li. 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 Xinke Li. The network helps show where Xinke Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinke Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2021 | 77 | |
| 3 | 2023 | 73 | |
| 4 | 2018 | 52 | |
| 5 | 2018 | 45 | |
| 6 | 2022 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2023 | 25 | |
| 10 | 2023 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2023 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2022 | 16 |
About Xinke Li
Xinke Li is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering, Spectroscopy and Biomedical Engineering, having authored 93 papers that have together received 1.0k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Functional Brain Connectivity Studies (5 papers), Analytical Chemistry and Sensors (5 papers), Sulfur Compounds in Biology (5 papers), Advancements in Battery Materials (4 papers), Electroconvulsive Therapy Studies (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Automotive Engineering (177 citations), Spectroscopy (101 citations), Bioengineering (30 citations), Electrical and Electronic Engineering (297 citations) and Industrial and Manufacturing Engineering (42 citations). Xinke Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jinliang Yuan, Jiapei Zhao, Yongcai Guo, Yongming Li, Chaoyu Liang, Haitang Qiu, Caiyun Liu, Hanchuang Zhu, Baocun Zhu and Wenlong Sheng. Their work appears in journals such as Chemical Engineering Journal, Bioorganic Chemistry, Talanta, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Energies.
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.