Xiaonan Lai

31 total papers · 651 total citations
29 papers, 450 citations indexed

About

Xiaonan Lai is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaonan Lai has authored 29 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 10 papers in Management Science and Operations Research and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaonan Lai's work include Advanced Multi-Objective Optimization Algorithms (13 papers), Optimal Experimental Design Methods (10 papers) and Probabilistic and Robust Engineering Design (8 papers). Xiaonan Lai is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (13 papers), Optimal Experimental Design Methods (10 papers) and Probabilistic and Robust Engineering Design (8 papers). Xiaonan Lai collaborates with scholars based in China, Japan and Singapore. Xiaonan Lai's co-authors include Xueguan Song, Wei Sun, Xiwang He, Yong Pang, Zhenggang Guo, Yitang Wang, Chao Zhang, Shuo Wang, Shuai Zhang and Xiaobang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Information Sciences.

In The Last Decade

Xiaonan Lai

28 papers receiving 440 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaonan Lai	157	136	120	70	66	29	450
Xiaobang Wang	85 0.5×	223 1.6×	130 1.1×	60 0.9×	107 1.6×	37	508
R. W. Baines	147 0.9×	183 1.3×	94 0.8×	26 0.4×	30 0.5×	17	519
Fabrício Alves de Almeida	81 0.5×	137 1.0×	235 2.0×	57 0.8×	42 0.6×	33	536
Pham Luu Trung Duong	69 0.4×	116 0.9×	42 0.3×	45 0.6×	137 2.1×	48	522
J. N. Siddall	168 1.1×	112 0.8×	73 0.6×	153 2.2×	57 0.9×	19	519
Takao Yokota	53 0.3×	125 0.9×	39 0.3×	114 1.6×	86 1.3×	25	518
Roman B. Statnikov	70 0.4×	90 0.7×	61 0.5×	150 2.1×	91 1.4×	33	435
Jun Tao	34 0.2×	80 0.6×	47 0.4×	101 1.4×	84 1.3×	27	547
Erich Wehrle	92 0.6×	169 1.2×	209 1.7×	58 0.8×	209 3.2×	36	518
Juhani Koski	60 0.4×	75 0.6×	190 1.6×	218 3.1×	112 1.7×	15	547

Countries citing papers authored by Xiaonan Lai

Since Specialization

Citations

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

Fields of papers citing papers by Xiaonan Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaonan Lai

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

All Works

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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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