Shu Fan

983 total citations · 1 hit paper
27 papers, 764 citations indexed

About

Shu Fan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Energy Engineering and Power Technology. According to data from OpenAlex, Shu Fan has authored 27 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 4 papers in Computer Networks and Communications and 4 papers in Energy Engineering and Power Technology. Recurrent topics in Shu Fan's work include Energy Load and Power Forecasting (7 papers), Electric Power System Optimization (6 papers) and Power Systems and Renewable Energy (4 papers). Shu Fan is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Electric Power System Optimization (6 papers) and Power Systems and Renewable Energy (4 papers). Shu Fan collaborates with scholars based in China, Australia and Japan. Shu Fan's co-authors include Rob J. Hyndman, Wei‐Jen Lee, K. Methaprayoon, Chengxiong Mao, Luonan Chen, Honglin Zhao, Jiming Lu, Ching-Yin Lee, Yuan‐Kang Wu and Dan Wang and has published in prestigious journals such as Hepatology, IEEE Transactions on Power Systems and Energy Policy.

In The Last Decade

Shu Fan

25 papers receiving 718 citations

Hit Papers

Short-Term Load Forecasting Based on a Semi-Parametric Ad... 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Short-Term Load Forecasting Based on a Semi-Parametric Additive Model
    2011 381 citations Shu Fan, Rob J. Hyndman profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shu Fan China 9 586 168 131 106 72 27 764
Krzysztof Gajowniczek Poland 14 336 0.6× 72 0.4× 68 0.5× 135 1.3× 89 1.2× 42 562
Yeming Dai China 13 449 0.8× 105 0.6× 91 0.7× 146 1.4× 57 0.8× 30 606
Silja Meyer-Nieberg Germany 9 411 0.7× 182 1.1× 40 0.3× 180 1.7× 75 1.0× 31 645
Yuyang Gao China 12 368 0.6× 201 1.2× 39 0.3× 175 1.7× 31 0.4× 18 568
Jean‐François Toubeau Belgium 20 989 1.7× 103 0.6× 98 0.7× 132 1.2× 46 0.6× 79 1.2k
Grzegorz Marcjasz Poland 13 746 1.3× 288 1.7× 143 1.1× 84 0.8× 21 0.3× 20 931
Elissaios Sarmas Greece 18 510 0.9× 82 0.5× 142 1.1× 232 2.2× 166 2.3× 68 838
Xiaobo Zhang China 9 410 0.7× 213 1.3× 29 0.2× 141 1.3× 44 0.6× 17 743
Mehmet Atak Türkiye 8 272 0.5× 331 2.0× 84 0.6× 64 0.6× 35 0.5× 17 568
Vinay Anand Tikkiwal India 13 442 0.8× 351 2.1× 62 0.5× 181 1.7× 26 0.4× 40 901

Countries citing papers authored by Shu Fan

Since Specialization
Citations

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

Fields of papers citing papers by Shu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Fan. A scholar is included among the top collaborators of Shu Fan 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 Shu Fan. Shu Fan 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
1.
Li, Shengnan, Han Xia, Zeyu Wang, et al.. (2023). Intratumoral microbial heterogeneity affected tumor immune microenvironment and determined clinical outcome of HBV-related HCC. Hepatology. 78(4). 1079–1091. 43 indexed citations
2.
Li, Leilei, et al.. (2023). Hydrogen station allocation based on equilibrium traffic flow. International Journal of Hydrogen Energy. 48(80). 31305–31316. 7 indexed citations
3.
Fan, Shu. (2019). A Cross-Layer Optimization QoS Scheme in Wireless Multimedia Sensor Networks. Algorithms. 12(4). 68–68. 4 indexed citations
4.
Fan, Shu & Honglin Zhao. (2018). Delay-based cross-layer QoS scheme for video streaming in wireless ad hoc networks. China Communications. 15(9). 215–234. 11 indexed citations
5.
6.
Fan, Shu, et al.. (2015). A Double-Population Genetic Algorithm for ASC Loading Sequence Optimization in Automated Container Terminals. Journal of Coastal Research. 73. 64–70. 12 indexed citations
7.
Fan, Shu & Rob J. Hyndman. (2011). The price elasticity of electricity demand in South Australia. Energy Policy. 39(6). 3709–3719. 164 indexed citations
8.
Fan, Shu & Rob J. Hyndman. (2011). Short-term load forecasting using semi-parametric additive models. 1–7. 4 indexed citations
9.
Fan, Shu, Yuan‐Kang Wu, Wei‐Jen Lee, & Ching-Yin Lee. (2011). Comparative study on load forecasting technologies for different geographical distributed loads. 1–8. 17 indexed citations
10.
Zhang, Kun, Yuping Duan, Jun Qiu, et al.. (2011). Low voltage ride through control strategy of directly driven wind turbine with energy storage system. 32. 1–7. 8 indexed citations
11.
Fan, Shu, K. Methaprayoon, & Wei‐Jen Lee. (2009). Multiregion Load Forecasting for System With Large Geographical Area. IEEE Transactions on Industry Applications. 45(4). 1452–1459. 57 indexed citations
12.
Fan, Shu, et al.. (2007). Voltage Stability Assessment with the Consideration of Uneven Regional Load Growth. 379–384. 1 indexed citations
13.
Fan, Shu, Chengxiong Mao, & Luonan Chen. (2006). Electricity peak load forecasting with self‐organizing map and support vector regression. IEEJ Transactions on Electrical and Electronic Engineering. 1(3). 1 indexed citations
14.
Mao, Chengxiong, et al.. (2006). Application of an optimal coordinated control strategy to VSC HVDC. 2141–2145. 10 indexed citations
15.
Fan, Shu, Chengxiong Mao, & Luonan Chen. (2006). Electricity peak load forecasting with self‐organizing map and support vector regression. IEEJ Transactions on Electrical and Electronic Engineering. 1(3). 330–336. 4 indexed citations
16.
Fan, Shu, Chengxiong Mao, & Luonan Chen. (2005). Optimal coordinated control of synchronous generator-power electronic transformer unit. Power System Technology. 29(2). 14–18. 4 indexed citations
17.
Wang, Dan, Chengxiong Mao, Jiming Lu, Shu Fan, & Luonan Chen. (2005). The Research on Characteristics of Electronic Power Transformer for Distribution System. 1–5. 16 indexed citations
18.
Bao, Feng, et al.. (2005). Evaluating Transmission Services for Bilateral Transactions in Electricity Market. 27. 1–6. 5 indexed citations
19.
Fan, Shu. (2004). Study on control strategy for power electronic transformer in power system. Relay. 4 indexed citations
20.
Fan, Shu. (2003). STUDY OF THE COMMON-MODE VOLTAGE IN A HIGH-VOLTAGE ASDS SYSTEM. Proceedings of the Csee. 2 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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