Xiaolan Fu

848 total citations
30 papers, 504 citations indexed

About

Xiaolan Fu is a scholar working on Economics and Econometrics, Automotive Engineering and Transportation. According to data from OpenAlex, Xiaolan Fu has authored 30 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 5 papers in Automotive Engineering and 5 papers in Transportation. Recurrent topics in Xiaolan Fu's work include Economic Growth and Productivity (4 papers), Urban Transport and Accessibility (4 papers) and Thermochemical Biomass Conversion Processes (4 papers). Xiaolan Fu is often cited by papers focused on Economic Growth and Productivity (4 papers), Urban Transport and Accessibility (4 papers) and Thermochemical Biomass Conversion Processes (4 papers). Xiaolan Fu collaborates with scholars based in China, Ireland and United Kingdom. Xiaolan Fu's co-authors include J. Andrew Kelly, J. Peter Clinch, V. N. Balasubramanyam, Heinrich R. Liesefeld, Hubert D. Zimmer, Luc Soete, Tieli Li, Xiaolan Fu, Guanghua Wan and Shenfu Yuan and has published in prestigious journals such as Energy Policy, International Journal of Hydrogen Energy and Energy.

In The Last Decade

Xiaolan Fu

30 papers receiving 477 citations

Peers

Xiaolan Fu
Dimitrios Xenias United Kingdom
Neil Thorpe United Kingdom
Lewis Fulton United States
John Nellthorp United Kingdom
Ramit Debnath United Kingdom
Paul Hooper United Kingdom
Xiaolan Fu
Citations per year, relative to Xiaolan Fu Xiaolan Fu (= 1×) peers Karlson Hargroves

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-authorship network of co-authors of Xiaolan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolan Fu. A scholar is included among the top collaborators of Xiaolan Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaolan Fu. Xiaolan Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Deng, Jin, et al.. (2025). Effects of Na and Ca on gaseous products evolution behaviors for Fe catalyzed lignite pyrolysis volatiles reforming. Energy. 320. 135156–135156. 2 indexed citations
3.
Fu, Xiaolan, et al.. (2024). CO enhancement in coal gasification with CO2: Effect of minerals. Fuel. 379. 133118–133118. 4 indexed citations
6.
Chen, Xin, et al.. (2024). Application study of pyrolysis and steam gasification of modified fly ash mixed with coal. International Journal of Hydrogen Energy. 60. 479–490. 5 indexed citations
8.
Li, Jian, et al.. (2023). Wind-Wave-Current Coupled Modeling of the Effect of Artificial Island on the Coastal Environment. Applied Sciences. 13(12). 7171–7171. 3 indexed citations
9.
Zhang, Puning, Xiaolan Fu, Rongjian Zhao, et al.. (2023). ECMER: Edge-Cloud Collaborative Personalized Multimodal Emotion Recognition Framework in the Internet of Vehicles. IEEE Network. 37(4). 192–199. 4 indexed citations
10.
Fu, Xiaolan, et al.. (2020). The Fourth Industrial Revolution, Technological Innovation and Firm Wages: Firm-level Evidence from OECD Economies. Revue d économie industrielle. 169. 89–125. 4 indexed citations
11.
Knight, John & Xiaolan Fu. (2014). Economic Policies for a Harmonious Society: A Symposium: Editorial Introduction. China & World Economy. 22(2). 1–4. 1 indexed citations
12.
Liesefeld, Heinrich R., Xiaolan Fu, & Hubert D. Zimmer. (2014). Fast and careless or careful and slow? Apparent holistic processing in mental rotation is explained by speed-accuracy trade-offs.. Journal of Experimental Psychology Learning Memory and Cognition. 41(4). 1140–1151. 65 indexed citations
13.
Kelly, J. Andrew & Xiaolan Fu. (2014). Sustainable school commuting – understanding choices and identifying opportunities. Journal of Transport Geography. 34. 221–230. 34 indexed citations
14.
Li, Jizhen, Si Zhang, Poh Kam Wong, & Xiaolan Fu. (2014). Harnessing internal and external resources for innovation in emerging economies. Journal of Chinese Economic and Business Studies. 12(2). 99–101. 1 indexed citations
16.
17.
Fu, Xiaolan, Aoife Ahern, & Andrew P. Kelly. (2011). Regional characteristics and the distribution of car engine sizes: A case study of Ireland. Transportation Research Part D Transport and Environment. 16(7). 509–514. 2 indexed citations
18.
Feng, Feng, et al.. (2011). Research on Scientific and Technological Cooperation Network of Cities in Pan-Yangtze River Delta of China:Based on Social Network Analysis. 1 indexed citations
19.
Fu, Xiaolan & Luc Soete. (2010). The Rise of Technological Power in the South. Palgrave Macmillan UK eBooks. 24 indexed citations
20.
Qiu, Xiang, Xiaolan Fu, Danni Sui, Jian Li, & Yi‐Yuan Tang. (2009). The Effect of Global Precedence on Mental Rotation of Compound Stimuli. Acta Psychologica Sinica. 41(1). 1–9. 1 indexed citations

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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