Xiaolan Fu

848 citations
30 papers · 504 · h-index 12

Impact in

Papers in

Xiaolan Fu

30 papers receiving 477 citations

Peers

Xiaolan Fu
Comparison fields: 5 of 104
  • Transportation 93
  • Automotive Engineering 82
  • Building and Construction 91
  • Fuel Technology 4
  • Renewable Energy, Sustainability and the Environment 72
Replace Aneeque Javaid with:
Aneeque Javaid Germany
Stefanie Lena Hille Switzerland
Karlson Hargroves Australia
Oliver Lah Germany
Tim Schwanen United Kingdom
Gorka Bueno Spain
Eduardo Barata Portugal
Maria J. Figueroa Denmark
Jinwei Wang China
Luís Cruz Portugal
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Citations per year

Countries citing papers authored by Xiaolan Fu

Since Specialization
Citations

This map shows the geographic impact of Xiaolan 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 Xiaolan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Fu more than expected).

Fields of papers citing papers by Xiaolan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolan 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 Xiaolan Fu. The network helps show where Xiaolan Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaolan Fu, 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 Xiaolan Fu Line = papers co-authored together Xiaolan Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201668
3 201465
4 201254
5 200350
6 201434
7
The Case of China
200829
8 201024
9 201219
10 201418
11 202212
12 201111
13
Management Characteristics, Managerial Ownership and Innovative Efficiency in High-technology Industry.
20076
14 20245
15 20244
16 20204
17 20234
18 20114
19 20233
20 20243

About Xiaolan Fu

Xiaolan Fu is a scholar working on Economics and Econometrics, Automotive Engineering, Transportation, Biomedical Engineering and Strategy and Management, having authored 30 papers that have together received 504 indexed citations. Recurring topics across this work include Economic Growth and Productivity (4 papers), Urban Transport and Accessibility (4 papers), Thermochemical Biomass Conversion Processes (4 papers), Transportation Planning and Optimization (3 papers), Global trade and economics (3 papers), Energy, Environment, and Transportation Policies (3 papers), Iron and Steelmaking Processes (3 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Transportation (93 citations), Automotive Engineering (82 citations), Building and Construction (91 citations), Fuel Technology (4 citations) and Renewable Energy, Sustainability and the Environment (72 citations). Xiaolan Fu has collaborated with scholars based in China, Ireland and United Kingdom. Frequent co-authors include J. Andrew Kelly, J. Peter Clinch, V. N. Balasubramanyam, Hubert D. Zimmer, Heinrich R. Liesefeld, Luc Soete, Tieli Li, Xiaolan Fu, Guanghua Wan and Shenfu Yuan. Their work appears in journals such as Journal of Transport Geography, Fuel, Energy Policy, Energy and Frontiers in Marine 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.

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