Xiaoling Fu
Impact in
- Automotive Engineering top 10%
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vehicle emissions and performance
-
- Advanced Optimization Algorithms Research
Papers in
-
- Advanced Optimization Algorithms Research 10
-
- Electric Vehicles and Infrastructure 4
- Co-authors
- Qi Zhang (4 shared papers)Yiping Jiang (4 shared papers)Shuyi Feng (2 shared papers)Hongwei Ni (8 shared papers)Bingsheng He (3 shared papers)Jifeng Wang (5 shared papers)Jiyun Tang (2 shared papers)Jian‐bo Wang (2 shared papers)
- Journals
- Applied Mathematics and Computation (3 papers)PLoS ONE (3 papers)Electronics (2 papers)Abstract and Applied Analysis (2 papers)Frontiers in Ecology and Evolution (1 paper)
- Partner nations
- ChinaHong KongSwitzerland
In The Last Decade
Xiaoling Fu
44 papers receiving 349 citations
Peers
Comparison fields: 5 of 82
- Automotive Engineering 81
- Numerical Analysis 25
- Soil Science 40
- Strategy and Management 31
- Ecology 48
Countries citing papers authored by Xiaoling Fu
This map shows the geographic impact of Xiaoling Fu'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 Xiaoling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Fu more than expected).
Fields of papers citing papers by Xiaoling Fu
This network shows the impact of papers produced by Xiaoling Fu. 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 Xiaoling Fu. The network helps show where Xiaoling Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Fu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 87 | |
| 2 | 2020 | 32 | |
| 3 | 2013 | 22 | |
| 4 | 2019 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2009 | 18 | |
| 7 | 2015 | 16 | |
| 8 | 2007 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2009 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2008 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2008 | 6 | |
| 18 | 2009 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2019 | 5 |
About Xiaoling Fu
Xiaoling Fu is a scholar working on Numerical Analysis, Electrical and Electronic Engineering, Computational Theory and Mathematics, Ecology and Automotive Engineering, having authored 49 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (10 papers), Optimization and Variational Analysis (9 papers), Sparse and Compressive Sensing Techniques (5 papers), Electric and Hybrid Vehicle Technologies (5 papers), Peatlands and Wetlands Ecology (5 papers), Electric Vehicles and Infrastructure (4 papers), Advanced Computational Techniques and Applications (4 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Automotive Engineering (81 citations), Numerical Analysis (25 citations), Soil Science (40 citations), Strategy and Management (31 citations) and Ecology (48 citations). Xiaoling Fu has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Qi Zhang, Yiping Jiang, Shuyi Feng, Hongwei Ni, Bingsheng He, Jifeng Wang, Jiyun Tang, Jian‐bo Wang, Chao Wang and Haixiu Zhong. Their work appears in journals such as Applied Mathematics and Computation, PLoS ONE, Electronics, Abstract and Applied Analysis and Frontiers in Ecology and Evolution.
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.