Xiangli Li

109 total papers · 743 total citations
61 papers, 561 citations indexed

About

Xiangli Li is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Xiangli Li has authored 61 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Numerical Analysis, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Theory and Mathematics. Recurrent topics in Xiangli Li's work include Advanced Optimization Algorithms Research (16 papers), Face and Expression Recognition (12 papers) and Optimization and Variational Analysis (8 papers). Xiangli Li is often cited by papers focused on Advanced Optimization Algorithms Research (16 papers), Face and Expression Recognition (12 papers) and Optimization and Variational Analysis (8 papers). Xiangli Li collaborates with scholars based in China, United States and Iran. Xiangli Li's co-authors include Hongwei Liu, Gang Wang, Eyal Raz, Chongyu Lan, Li Lin, Wen Zhang, Chang Chang, Tiangang Luan, Lihua Yang and Marc Levoy and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and Chemosphere.

In The Last Decade

Xiangli Li

53 papers receiving 544 citations

Author Peers

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

Author						Papers	Cites
Xiangli Li	109	91	71	64	61	61	561
Ziming Li	11 0.1×	13 0.1×	13 0.2×	76 1.2×	58 1.0×	70	693
Jörg Fehr	78 0.7×	23 0.3×	43 0.6×	16 0.3×	116 1.9×	63	664
Takashi Aoki	28 0.3×	28 0.3×	14 0.2×	32 0.5×	52 0.9×	76	691
Wen Chen	11 0.1×	74 0.8×	26 0.4×	10 0.2×	147 2.4×	26	612
Ron Bates	12 0.1×	31 0.3×	21 0.3×	175 2.7×	96 1.6×	38	615
Hongli Lv	15 0.1×	3 0.0×	23 0.3×	47 0.7×	75 1.2×	50	618
Jian Li	8 0.1×	46 0.5×	24 0.3×	102 1.6×	55 0.9×	109	622
Fan Li	22 0.2×	6 0.1×	7 0.1×	198 3.1×	126 2.1×	44	644
Yue Yao	6 0.1×	14 0.2×	32 0.5×	16 0.3×	81 1.3×	50	549
Lufang Zhang	18 0.2×	29 0.3×	30 0.4×	13 0.2×	124 2.0×	44	513

Countries citing papers authored by Xiangli Li

Since Specialization

Citations

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

Fields of papers citing papers by Xiangli Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangli Li

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