Xiaoshan Sun
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Transportation and Mobility Innovations
- Analytical Chemistry top 10%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 7
-
- Electric Vehicles and Infrastructure 7
- Co-authors
- Hengchang Liu (10 shared papers)Guowang Xu (11 shared papers)Xin Lu (10 shared papers)Chunxia Zhao (9 shared papers)Renguang Wu (3 shared papers)Zaifang Li (6 shared papers)Ligang Chen (1 shared paper)Xinjie Zhao (7 shared papers)
- Journals
- Analytical Chemistry (6 papers)Biological Trace Element Research (2 papers)Climate Dynamics (2 papers)Talanta (2 papers)Frontiers in Veterinary Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoshan Sun
37 papers receiving 400 citations
Peers
Comparison fields: 5 of 108
- Automotive Engineering 65
- Analytical Chemistry 40
- Biochemistry 16
- Animal Science and Zoology 23
- Developmental Neuroscience 8
Countries citing papers authored by Xiaoshan Sun
This map shows the geographic impact of Xiaoshan Sun'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 Xiaoshan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoshan Sun more than expected).
Fields of papers citing papers by Xiaoshan Sun
This network shows the impact of papers produced by Xiaoshan Sun. 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 Xiaoshan Sun. The network helps show where Xiaoshan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoshan Sun, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2018 | 42 | |
| 3 | 2014 | 39 | |
| 4 | 2020 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2017 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 5 |
About Xiaoshan Sun
Xiaoshan Sun is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Spectroscopy, Automotive Engineering and Animal Science and Zoology, having authored 41 papers that have together received 405 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Electric Vehicles and Infrastructure (7 papers), Transportation and Mobility Innovations (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Advanced Malware Detection Techniques (5 papers), Animal Nutrition and Physiology (5 papers), Analytical Chemistry and Chromatography (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Automotive Engineering (65 citations), Analytical Chemistry (40 citations), Biochemistry (16 citations), Animal Science and Zoology (23 citations) and Developmental Neuroscience (8 citations). Xiaoshan Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hengchang Liu, Guowang Xu, Xin Lu, Chunxia Zhao, Renguang Wu, Zaifang Li, Ligang Chen, Xinjie Zhao, John A. Stankovic and Wei Zheng. Their work appears in journals such as Analytical Chemistry, Biological Trace Element Research, Climate Dynamics, Talanta and Frontiers in Veterinary Science.
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.