Liqun Xiang

71 total papers · 733 total citations
36 papers, 564 citations indexed

About

Liqun Xiang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Liqun Xiang has authored 36 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 19 papers in Electrical and Electronic Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Liqun Xiang's work include Optical measurement and interference techniques (25 papers), Optical Systems and Laser Technology (15 papers) and Advanced Measurement and Detection Methods (13 papers). Liqun Xiang is often cited by papers focused on Optical measurement and interference techniques (25 papers), Optical Systems and Laser Technology (15 papers) and Advanced Measurement and Detection Methods (13 papers). Liqun Xiang collaborates with scholars based in China, Australia and Hong Kong. Liqun Xiang's co-authors include Xianyu Su, Qican Zhang, Wenjing Chen, Wansong Li, Qiping Shen, Feng Chen, Yongtao Tan, Sikun Li, Xin Jin and Junpeng Xue and has published in prestigious journals such as Journal of Cleaner Production, Optics Express and Journal of the Optical Society of America A.

In The Last Decade

Liqun Xiang

36 papers receiving 541 citations

Author Peers

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

Author						Papers	Cites
Liqun Xiang	453	201	199	143	76	36	564
Yingying Wan	474 1.0×	183 0.9×	180 0.9×	210 1.5×	75 1.0×	45	535
Xiaodong Zhang	144 0.3×	193 1.0×	26 0.1×	60 0.4×	13 0.2×	45	509
Xiang He	259 0.6×	52 0.3×	80 0.4×	24 0.2×	21 0.3×	39	512
Alexander Keller	414 0.9×	91 0.5×	21 0.1×	64 0.4×	31 0.4×	18	653
Erhu Zhang	330 0.7×	84 0.4×	48 0.2×	46 0.3×	14 0.2×	29	578
Xiao Pan	124 0.3×	83 0.4×	19 0.1×	68 0.5×	104 1.4×	41	638
Conor P. McElhinney	155 0.3×	10 0.0×	146 0.7×	13 0.1×	222 2.9×	26	512
Chaoqing Tang	65 0.1×	132 0.7×	31 0.2×	379 2.7×	13 0.2×	32	633
David S. Forsyth	97 0.2×	294 1.5×	85 0.4×	43 0.3×	8 0.1×	49	534
Wei Li	69 0.2×	84 0.4×	17 0.1×	28 0.2×	50 0.7×	30	503

Countries citing papers authored by Liqun Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Liqun Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqun Xiang

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