Leong Kwan Li

571 total citations
11 papers, 434 citations indexed

About

Leong Kwan Li is a scholar working on Artificial Intelligence, Finance and Statistical and Nonlinear Physics. According to data from OpenAlex, Leong Kwan Li has authored 11 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Finance and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Leong Kwan Li's work include Neural Networks and Applications (5 papers), Stochastic processes and financial applications (4 papers) and Financial Markets and Investment Strategies (2 papers). Leong Kwan Li is often cited by papers focused on Neural Networks and Applications (5 papers), Stochastic processes and financial applications (4 papers) and Financial Markets and Investment Strategies (2 papers). Leong Kwan Li collaborates with scholars based in Hong Kong, United States and China. Leong Kwan Li's co-authors include Genqi Xu, Siu Pang Yung, John F. Y. Yeung, Daniel W.M. Chan, Albert P.C. Chan, Ka Fai Cedric Yiu, Kai Wang Ng, S. Shao, Eric C. Chang and Henry M.K. Mok and has published in prestigious journals such as Management Science, Neural Computation and Applied Soft Computing.

In The Last Decade

Leong Kwan Li

10 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leong Kwan Li Hong Kong 7 208 174 127 121 69 11 434
Roberto Ricci Italy 8 70 0.3× 93 0.5× 17 0.1× 233 1.9× 12 0.2× 38 350
Shimrit Shtern Israel 7 71 0.3× 71 0.4× 16 0.1× 96 0.8× 26 0.4× 16 294
Lianjun An United States 8 82 0.4× 44 0.3× 55 0.4× 48 0.4× 9 0.1× 26 272
Fengjie Wu Australia 8 100 0.5× 67 0.4× 10 0.1× 208 1.7× 29 0.4× 18 352
V. Balachandran United States 10 83 0.4× 60 0.3× 36 0.3× 48 0.4× 14 0.2× 35 303
Murat Ki̇ri̇şçi̇ Türkiye 14 61 0.3× 126 0.7× 126 1.0× 385 3.2× 37 0.5× 54 713
Rudolf Henn Germany 6 42 0.2× 68 0.4× 8 0.1× 164 1.4× 13 0.2× 18 395
Laura Scrimali Italy 13 18 0.1× 250 1.4× 22 0.2× 18 0.1× 7 0.1× 33 357
Anton Braverman United States 11 23 0.1× 13 0.1× 130 1.0× 26 0.2× 11 0.2× 24 467
Rıdvan Şahin Türkiye 17 446 2.1× 111 0.6× 12 0.1× 732 6.0× 46 0.7× 35 799

Countries citing papers authored by Leong Kwan Li

Since Specialization
Citations

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

Fields of papers citing papers by Leong Kwan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leong Kwan Li

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

All Works

11 of 11 papers shown
1.
Li, Leong Kwan, S. Shao, & Ka Fai Cedric Yiu. (2012). A new optimization algorithm for single hidden layer feedforward neural networks. Applied Soft Computing. 13(5). 2857–2862. 18 indexed citations
2.
Yiu, Ka Fai Cedric, et al.. (2011). Evaluating American put options on zero-coupon bonds by a penalty method. Journal of Computational and Applied Mathematics. 235(13). 3921–3931. 7 indexed citations
3.
Li, Leong Kwan & Ka Fai Cedric Yiu. (2010). Compression of UV spectrum with recurrent neural network. The HKU Scholars Hub (University of Hong Kong). 2. 365–369. 1 indexed citations
4.
Li, Leong Kwan, et al.. (2008). New Error Function for Single Hidden Layer Feedforward Neural Networks. 1. 752–755. 1 indexed citations
5.
Chang, Eric C., et al.. (2008). Pricing and Hedging of Discrete Dynamic Guaranteed Funds. Journal of Risk & Insurance. 75(1). 167–192. 6 indexed citations
6.
Yeung, John F. Y., Albert P.C. Chan, Daniel W.M. Chan, & Leong Kwan Li. (2007). Development of a partnering performance index (PPI) for construction projects in Hong Kong: a Delphi study. Construction Management and Economics. 25(12). 1219–1237. 158 indexed citations
7.
Xu, Genqi, Siu Pang Yung, & Leong Kwan Li. (2006). Stabilization of wave systems with input delay in the boundary control. ESAIM Control Optimisation and Calculus of Variations. 12(4). 770–785. 204 indexed citations
8.
Li, Leong Kwan, et al.. (2003). Pricing Discrete Dynamic Fund Protections. North American Actuarial Journal. 7(4). 23–31. 9 indexed citations
9.
Li, Leong Kwan. (2003). LEARNING SUNSPOT SERIES DYNAMICS BY RECURRENT NEURAL NETWORKS. 107–115. 3 indexed citations
10.
Li, Leong Kwan, et al.. (2001). Minimal Feedforward Parity Networks Using Threshold Gates. Neural Computation. 13(2). 319–326. 8 indexed citations
11.
Li, Leong Kwan, et al.. (2001). Pricing Discrete Barrier and Hindsight Options with the Tridiagonal Probability Algorithm. Management Science. 47(3). 383–393. 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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