K. Li

410 total citations
15 papers, 346 citations indexed

About

K. Li is a scholar working on Control and Systems Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, K. Li has authored 15 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 3 papers in Automotive Engineering and 3 papers in Artificial Intelligence. Recurrent topics in K. Li's work include Vehicle emissions and performance (3 papers), Advanced Combustion Engine Technologies (3 papers) and Human-Automation Interaction and Safety (2 papers). K. Li is often cited by papers focused on Vehicle emissions and performance (3 papers), Advanced Combustion Engine Technologies (3 papers) and Human-Automation Interaction and Safety (2 papers). K. Li collaborates with scholars based in United Kingdom, Netherlands and China. K. Li's co-authors include David Laverty, P.A. Wieringa, Yuanjun Guo, Aoife Foley, Alan P. Morrison, Paul Leahy, Eamon McKeogh, D. John Morrow, Xueqin Liu and Seán McLoone and has published in prestigious journals such as Applied Energy, Renewable Energy and IEEE Transactions on Power Delivery.

In The Last Decade

K. Li

13 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Li United Kingdom 7 225 190 36 25 24 15 346
Maria G. Ioannides Greece 12 264 1.2× 193 1.0× 48 1.3× 20 0.8× 11 0.5× 38 416
Hussain Attia United Arab Emirates 12 302 1.3× 115 0.6× 35 1.0× 114 4.6× 12 0.5× 65 509
Konstantinos Kampouropoulos Spain 11 183 0.8× 86 0.5× 31 0.9× 46 1.8× 6 0.3× 31 308
Matteo Manganelli Italy 13 389 1.7× 182 1.0× 60 1.7× 15 0.6× 5 0.2× 50 575
Rongxin Yin China 13 564 2.5× 234 1.2× 44 1.2× 27 1.1× 7 0.3× 27 717
Aida Fazliana Abdul Kadir Malaysia 13 411 1.8× 264 1.4× 42 1.2× 29 1.2× 3 0.1× 55 513
Abdullah M. Al‐Shaalan Saudi Arabia 14 331 1.5× 166 0.9× 94 2.6× 51 2.0× 8 0.3× 50 518
Nurkhat Zhakiyev Kazakhstan 10 158 0.7× 45 0.2× 26 0.7× 20 0.8× 4 0.2× 51 310
Zeeshan Ahmad Arfeen Pakistan 10 257 1.1× 151 0.8× 44 1.2× 30 1.2× 5 0.2× 47 398
M. Rizwan India 11 372 1.7× 168 0.9× 73 2.0× 60 2.4× 2 0.1× 33 496

Countries citing papers authored by K. Li

Since Specialization
Citations

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

Fields of papers citing papers by K. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Li

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

All Works

15 of 15 papers shown
1.
Fang, Gongfan, K. Li, Xinyin Ma, & Xinchao Wang. (2025). TinyFusion: Diffusion Transformers Learned Shallow. 18144–18154.
2.
3.
Li, K., et al.. (2024). 长时间序列鄂尔多斯市光伏电站的土地利用动态演变规律及情景模拟. National Remote Sensing Bulletin. 29(4). 926–944. 1 indexed citations
5.
6.
Guo, Yuanjun, et al.. (2015). Synchrophasor-Based Islanding Detection for Distributed Generation Systems Using Systematic Principal Component Analysis Approaches. IEEE Transactions on Power Delivery. 30(6). 2544–2552. 76 indexed citations
7.
Liu, Xueqin, David Laverty, Robert Best, et al.. (2015). Principal Component Analysis of Wide-Area Phasor Measurements for Islanding Detection—A Geometric View. IEEE Transactions on Power Delivery. 30(2). 976–985. 87 indexed citations
8.
Foley, Aoife, Paul Leahy, K. Li, Eamon McKeogh, & Alan P. Morrison. (2014). A long-term analysis of pumped hydro storage to firm wind power. Applied Energy. 137. 638–648. 92 indexed citations
9.
Li, K., Jian Peng, G.W. Irwin, Luigi Piroddi, & W. Spinelli. (2005). ESTIMATION OF NOX EMISSIONS IN THERMAL POWER PLANTS USING ENG-GENES NEURAL NETWORKS. IFAC Proceedings Volumes. 38(1). 115–120. 6 indexed citations
10.
Li, K., Stephen Thompson, P.A. Wieringa, & Jian Peng. (2003). A study on the role of human operators in supervised automation system and its implications. 4. 3288–3293. 5 indexed citations
11.
Li, K., et al.. (2003). Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions. Cognition Technology & Work. 5(2). 107–126. 17 indexed citations
13.
Li, K., et al.. (2003). Data mining can help human supervisory control of critical complex industrial systems. 3407–3412. 2 indexed citations
14.
Li, K. & P.A. Wieringa. (2000). Understanding Perceived Complexity in Human Supervisory Control. Cognition Technology & Work. 2(2). 75–88. 42 indexed citations
15.
Thompson, Stephen & K. Li. (2000). A MLP Prediction Model for Power Plant NOx Emission. IFAC Proceedings Volumes. 33(6). 117–122. 4 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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