Liang He

152 total papers · 1.1k total citations
72 papers, 642 citations indexed

About

Liang He is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liang He has authored 72 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Human-Computer Interaction, 21 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liang He's work include Interactive and Immersive Displays (19 papers), Tactile and Sensory Interactions (12 papers) and Topic Modeling (8 papers). Liang He is often cited by papers focused on Interactive and Immersive Displays (19 papers), Tactile and Sensory Interactions (12 papers) and Topic Modeling (8 papers). Liang He collaborates with scholars based in China, United States and Hong Kong. Liang He's co-authors include Jon E. Froehlich, Majeed Kazemitabaar, Cheng Xu, John H. Xin, Hao Huang, Xi Liu, Tao Xu, Yangmei Chen, Jinxian Yuan and Shu Ou and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Liang He

56 papers receiving 631 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 He 266 168 82 74 69 72 642
Nikolaos S. Tachos 107 0.4× 95 0.6× 98 1.2× 64 0.9× 87 1.3× 74 781
Georgi V. Georgiev 168 0.6× 81 0.5× 265 3.2× 32 0.4× 25 0.4× 101 715
Troy McDaniel 238 0.9× 314 1.9× 52 0.6× 73 1.0× 36 0.5× 72 600
Roseli de Deus Lopes 253 1.0× 130 0.8× 26 0.3× 223 3.0× 43 0.6× 131 732
Xiang Chen 223 0.8× 174 1.0× 40 0.5× 106 1.4× 115 1.7× 43 564
Osama Halabi 212 0.8× 150 0.9× 128 1.6× 169 2.3× 72 1.0× 58 770
Guillermo Palacios-Navarro 107 0.4× 41 0.2× 25 0.3× 64 0.9× 32 0.5× 66 723
Pedro Miguel Moreira 97 0.4× 48 0.3× 57 0.7× 95 1.3× 35 0.5× 46 633
Edgard Lamounier 157 0.6× 136 0.8× 18 0.2× 164 2.2× 25 0.4× 104 555
Lingguo Bu 72 0.3× 179 1.1× 31 0.4× 58 0.8× 44 0.6× 50 712

Countries citing papers authored by Liang He

Since Specialization
Citations

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

Fields of papers citing papers by Liang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang He

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