Liang Xin

99 total papers · 888 total citations
48 papers, 623 citations indexed

About

Liang Xin is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Liang Xin has authored 48 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Management Science and Operations Research. Recurrent topics in Liang Xin's work include Energy, Environment, Economic Growth (4 papers), Image and Object Detection Techniques (3 papers) and Sustainable Supply Chain Management (3 papers). Liang Xin is often cited by papers focused on Energy, Environment, Economic Growth (4 papers), Image and Object Detection Techniques (3 papers) and Sustainable Supply Chain Management (3 papers). Liang Xin collaborates with scholars based in China, Japan and United States. Liang Xin's co-authors include Chengyuan Liang, Lei Tian, Hong Liu, Wenqiang Cao, Xiaodong Ren, Yanlin Jian, Xiaolin Xie, Dezhu Zhang, Qianqian Zhao and Jingyi Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Liang Xin

40 papers receiving 605 citations

Author Peers

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

Author Last Decade Papers Cites
Liang Xin 177 109 107 99 56 48 623
Xiaoqing Wang 104 0.6× 28 0.3× 61 0.6× 112 1.1× 8 0.1× 54 620
Marc Claesen 218 1.2× 69 0.6× 165 1.5× 14 0.1× 5 0.1× 35 680
Xi Yang 151 0.9× 33 0.3× 116 1.1× 15 0.2× 17 0.3× 59 582
Nidhi Arora 185 1.0× 16 0.1× 97 0.9× 56 0.6× 6 0.1× 57 625
Wenbo Xu 141 0.8× 24 0.2× 10 0.1× 45 0.5× 11 0.2× 41 577
Chun‐Hung Wang 176 1.0× 10 0.1× 101 0.9× 11 0.1× 7 0.1× 33 743
Anasua Sarkar 179 1.0× 75 0.7× 25 0.2× 104 1.1× 1 0.0× 48 614
Bo Yin 270 1.5× 65 0.6× 81 0.8× 22 0.2× 3 0.1× 38 650
Lili Chen 103 0.6× 73 0.7× 253 2.4× 129 1.3× 9 0.2× 31 743
Shivani Sharma 38 0.2× 68 0.6× 38 0.4× 18 0.2× 3 0.1× 64 688

Countries citing papers authored by Liang Xin

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xin

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