Liyang Han

560 total citations
10 papers, 334 citations indexed

About

Liyang Han is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Liyang Han has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 4 papers in Control and Systems Engineering and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Liyang Han's work include Smart Grid Energy Management (6 papers), Microgrid Control and Optimization (4 papers) and Electric Vehicles and Infrastructure (4 papers). Liyang Han is often cited by papers focused on Smart Grid Energy Management (6 papers), Microgrid Control and Optimization (4 papers) and Electric Vehicles and Infrastructure (4 papers). Liyang Han collaborates with scholars based in United Kingdom, Denmark and China. Liyang Han's co-authors include Malcolm McCulloch, Thomas Morstyn, Jalal Kazempour, Pierre Pinson, Jing Yi, Lu Zhang, Weiwei Tian, Ying Dai, Jianbo Wang and Li Li and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Frontiers in Pharmacology.

In The Last Decade

Liyang Han

9 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyang Han United Kingdom 7 281 116 26 23 21 10 334
Aaron Bloom United States 10 381 1.4× 98 0.8× 39 1.5× 11 0.5× 16 0.8× 16 448
Hao Ming United States 10 297 1.1× 91 0.8× 49 1.9× 21 0.9× 19 0.9× 22 326
Virginijus Radziukynas Lithuania 7 220 0.8× 104 0.9× 31 1.2× 12 0.5× 11 0.5× 24 281
Ouzhu Han China 9 252 0.9× 104 0.9× 18 0.7× 20 0.9× 15 0.7× 16 313
Hongjun Gao China 13 370 1.3× 159 1.4× 24 0.9× 9 0.4× 13 0.6× 36 427
Íngrid Munné‐Collado Spain 6 357 1.3× 127 1.1× 61 2.3× 11 0.5× 26 1.2× 9 414
Junjie Zhong China 8 290 1.0× 111 1.0× 18 0.7× 11 0.5× 20 1.0× 17 357
Yong‐Tae Yoon South Korea 10 250 0.9× 94 0.8× 24 0.9× 12 0.5× 10 0.5× 40 319
Xinbo Geng United States 10 238 0.8× 92 0.8× 36 1.4× 38 1.7× 18 0.9× 24 299
Changsen Feng China 10 416 1.5× 236 2.0× 35 1.3× 14 0.6× 33 1.6× 30 466

Countries citing papers authored by Liyang Han

Since Specialization
Citations

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

Fields of papers citing papers by Liyang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Liyang Han. A scholar is included among the top collaborators of Liyang Han 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 Liyang Han. Liyang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Han, Liyang, et al.. (2025). EBAD-YOLO: efficient bidirectional adaptive dense network for UAV small-object detection. Journal of Real-Time Image Processing. 23(1).
2.
Quan, Yunyun, Zhujun Yin, Shilong Chen, et al.. (2022). The gut-lung axis: Gut microbiota changes associated with pulmonary fibrosis in mouse models induced by bleomycin. Frontiers in Pharmacology. 13. 985223–985223. 16 indexed citations
3.
Pinson, Pierre, Liyang Han, & Jalal Kazempour. (2022). Regression markets and application to energy forecasting. Top. 30(3). 533–573. 20 indexed citations
4.
Han, Liyang, Pierre Pinson, & Jalal Kazempour. (2022). Trading data for wind power forecasting: A regression market with lasso regularization. Electric Power Systems Research. 212. 108442–108442. 20 indexed citations
5.
Han, Liyang, Thomas Morstyn, & Malcolm McCulloch. (2021). Estimation of the Shapley Value of a Peer-to-peer Energy Sharing Game Using Multi-Step Coalitional Stratified Sampling. International Journal of Control Automation and Systems. 19(5). 1863–1872. 19 indexed citations
6.
Han, Liyang, Thomas Morstyn, & Malcolm McCulloch. (2020). Scaling Up Cooperative Game Theory-Based Energy Management Using Prosumer Clustering. IEEE Transactions on Smart Grid. 12(1). 289–300. 31 indexed citations
7.
Han, Liyang, Thomas Morstyn, & Malcolm McCulloch. (2019). Incentivizing Prosumer Coalitions with Energy Management using Cooperative Game Theory. 6 indexed citations
8.
Morstyn, Thomas, et al.. (2018). Flexible Cooperative Game Theory Tool for Peer-to-Peer Energy Trading Analysis. 1–5. 5 indexed citations
9.
Han, Liyang, Thomas Morstyn, & Malcolm McCulloch. (2018). Incentivizing Prosumer Coalitions With Energy Management Using Cooperative Game Theory. IEEE Transactions on Power Systems. 34(1). 303–313. 198 indexed citations
10.
Han, Liyang, Thomas Morstyn, & Malcolm McCulloch. (2018). Constructing Prosumer Coalitions for Energy Cost Savings Using Cooperative Game Theory. Oxford University Research Archive (ORA) (University of Oxford). 1–7. 19 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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