Ling Xie

40 total papers · 1.1k total citations
29 papers, 831 citations indexed

About

Ling Xie is a scholar working on Artificial Intelligence, Marketing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Xie has authored 29 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Marketing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Xie's work include Imbalanced Data Classification Techniques (5 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Statistical and Computational Modeling (4 papers). Ling Xie is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Statistical and Computational Modeling (4 papers). Ling Xie collaborates with scholars based in China, Germany and Pakistan. Ling Xie's co-authors include Jin Xiao, Xiaoyi Jiang, Jing Huang, Guohao Li, Changzheng He, Yi Hu, Bing Zhu, Yuxi Li, Xin Gu and Lixiang Xu and has published in prestigious journals such as Journal of Cleaner Production, Energy Policy and Expert Systems with Applications.

In The Last Decade

Ling Xie

27 papers receiving 798 citations

Author Peers

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

Author						Papers	Cites
Ling Xie	290	186	152	128	121	29	831
Neamat El Gayar	281 1.0×	111 0.6×	128 0.8×	55 0.4×	39 0.3×	34	904
Jie Cao	283 1.0×	178 1.0×	62 0.4×	68 0.5×	38 0.3×	47	814
Sufang Zhang	293 1.0×	180 1.0×	105 0.7×	65 0.5×	19 0.2×	49	823
Nana Liu	357 1.2×	262 1.4×	58 0.4×	57 0.4×	360 3.0×	10	1.0k
Noura Metawa	220 0.8×	247 1.3×	49 0.3×	26 0.2×	236 2.0×	41	937
Jiaming Liu	410 1.4×	50 0.3×	166 1.1×	20 0.2×	108 0.9×	45	739
Ayşe Özmen	104 0.4×	114 0.6×	233 1.5×	81 0.6×	21 0.2×	23	920
Changhui Yang	40 0.1×	119 0.6×	239 1.6×	60 0.5×	45 0.4×	44	855
Ming S. Hung	287 1.0×	38 0.2×	88 0.6×	53 0.4×	69 0.6×	34	927
Rongda Chen	172 0.6×	506 2.7×	102 0.7×	37 0.3×	216 1.8×	67	994

Countries citing papers authored by Ling Xie

Since Specialization

Citations

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

Fields of papers citing papers by Ling Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Xie

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