Quan Lin

41 total papers · 828 total citations
26 papers, 447 citations indexed

About

Quan Lin is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Quan Lin has authored 26 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 10 papers in Statistics, Probability and Uncertainty and 9 papers in Management Science and Operations Research. Recurrent topics in Quan Lin's work include Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Recommender Systems and Techniques (6 papers). Quan Lin is often cited by papers focused on Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Recommender Systems and Techniques (6 papers). Quan Lin collaborates with scholars based in China, United States and Australia. Quan Lin's co-authors include Keping Yang, Qi Zhou, Jiexiang Hu, Hong Wen, Jimeng Sun, Jie Tang, Fei Sun, Fuyu Lv, Wilfred Ng and Chenhao Tan and has published in prestigious journals such as International Journal of Biological Macromolecules, Knowledge-Based Systems and Structural and Multidisciplinary Optimization.

In The Last Decade

Quan Lin

25 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Quan Lin	182	177	104	82	71	26	447
Suhrid Balakrishnan	260 1.4×	228 1.3×	46 0.4×	17 0.2×	20 0.3×	18	551
K. K. Bharadwaj	202 1.1×	225 1.3×	39 0.4×	51 0.6×	104 1.5×	45	495
Pier Luigi Novi Inverardi	128 0.7×	152 0.9×	12 0.1×	35 0.4×	52 0.7×	27	422
Lipeng Pan	32 0.2×	305 1.7×	301 2.9×	141 1.7×	59 0.8×	26	544
Meizhu Li	30 0.2×	124 0.7×	126 1.2×	72 0.9×	192 2.7×	26	453
Jie Zhao	35 0.2×	190 1.1×	123 1.2×	48 0.6×	251 3.5×	19	530
Kun Shang	22 0.1×	126 0.7×	171 1.6×	69 0.8×	81 1.1×	20	524
P. Vannoorenberghe	74 0.4×	292 1.6×	183 1.8×	124 1.5×	6 0.1×	24	502
Zichang He	35 0.2×	240 1.4×	227 2.2×	98 1.2×	48 0.7×	26	460
Xin Li	85 0.5×	381 2.2×	62 0.6×	8 0.1×	19 0.3×	34	517

Countries citing papers authored by Quan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Quan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Lin. A scholar is included among the top collaborators of Quan Lin 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 Quan Lin. Quan Lin 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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