Hailiang Li

79 total papers · 977 total citations
44 papers, 719 citations indexed

About

Hailiang Li is a scholar working on Artificial Intelligence, Plant Science and Geophysics. According to data from OpenAlex, Hailiang Li has authored 44 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Plant Science and 6 papers in Geophysics. Recurrent topics in Hailiang Li's work include Seismic Imaging and Inversion Techniques (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Drilling and Well Engineering (5 papers). Hailiang Li is often cited by papers focused on Seismic Imaging and Inversion Techniques (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Drilling and Well Engineering (5 papers). Hailiang Li collaborates with scholars based in China, United Kingdom and Saudi Arabia. Hailiang Li's co-authors include Yijun Mao, Jian Weng, Yonghua Wang, Weiwei Liu, Yujian Shi, Jiajie Zhang, Zhijun Zhang, Yunzhou Li, Jingjing Zhao and Yan Liang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hailiang Li

35 papers receiving 702 citations

Author Peers

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

Author Last Decade Papers Cites
Hailiang Li 130 109 99 82 75 44 719
Kanae Takahashi 25 0.2× 88 0.8× 88 0.9× 114 1.4× 25 0.3× 64 768
Young-Ran Lee 58 0.4× 99 0.9× 11 0.1× 158 1.9× 12 0.2× 88 752
Wen-Li Lee 17 0.1× 129 1.2× 94 0.9× 48 0.6× 230 3.1× 39 711
Jingru Yang 34 0.3× 53 0.5× 18 0.2× 195 2.4× 31 0.4× 64 713
Ling Chao 20 0.2× 30 0.3× 69 0.7× 241 2.9× 18 0.2× 58 773
Gaurav Pandey 42 0.3× 33 0.3× 25 0.3× 200 2.4× 9 0.1× 15 759
Yingxin Li 100 0.8× 70 0.6× 4 0.0× 231 2.8× 59 0.8× 51 873
Tao Xu 60 0.5× 81 0.7× 108 1.1× 219 2.7× 48 0.6× 50 751
Kexin Li 301 2.3× 31 0.3× 122 1.2× 123 1.5× 41 0.5× 89 841
Wei Wang 26 0.2× 158 1.4× 133 1.3× 74 0.9× 155 2.1× 38 860

Countries citing papers authored by Hailiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Hailiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailiang Li

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