Ting Liu

113 total papers · 1.5k total citations
58 papers, 789 citations indexed

About

Ting Liu is a scholar working on Artificial Intelligence, General Health Professions and Clinical Psychology. According to data from OpenAlex, Ting Liu has authored 58 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in General Health Professions and 5 papers in Clinical Psychology. Recurrent topics in Ting Liu's work include Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers) and Speech and dialogue systems (5 papers). Ting Liu is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (15 papers) and Speech and dialogue systems (5 papers). Ting Liu collaborates with scholars based in China, Australia and United States. Ting Liu's co-authors include Wanxiang Che, Libo Qin, Xu Xiao, Yangming Li, Minheng Ni, Shiqi Zhao, Yan Wang, Haoyu Song, Weinan Zhang and Ming Zhou and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Ting Liu

54 papers receiving 760 citations

Hit Papers

Effectiveness of Digital ... 2023 2026 2024 2023 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Effectiveness of Digital Health Literacy Interventions in Older Adults: Single-Arm Meta-Analysis
    2023 57 citations Ting Liu et al. Journal of Medical Internet Research profile →

Author Peers

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

Author Last Decade Papers Cites
Ting Liu 425 77 75 69 52 58 789
Marcos Báez 223 0.5× 102 1.3× 33 0.4× 48 0.7× 67 1.3× 50 721
Md. Mehedi Hassan 231 0.5× 25 0.3× 82 1.1× 144 2.1× 50 1.0× 94 906
Philippe Lenca 301 0.7× 32 0.4× 45 0.6× 68 1.0× 139 2.7× 45 839
George Boateng 117 0.3× 72 0.9× 68 0.9× 26 0.4× 49 0.9× 28 710
Xing He 361 0.8× 31 0.4× 66 0.9× 55 0.8× 37 0.7× 44 770
Zhan Zhang 159 0.4× 153 2.0× 61 0.8× 30 0.4× 87 1.7× 58 852
José Alberto Benítez‐Andrades 171 0.4× 75 1.0× 31 0.4× 65 0.9× 79 1.5× 65 751
Nema Dean 375 0.9× 28 0.4× 59 0.8× 20 0.3× 14 0.3× 28 854
Elina Helander 381 0.9× 170 2.2× 44 0.6× 45 0.7× 26 0.5× 38 826
Antonio Martínez-Millana 126 0.3× 137 1.8× 59 0.8× 21 0.3× 25 0.5× 53 803

Countries citing papers authored by Ting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Liu. A scholar is included among the top collaborators of Ting Liu 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 Ting Liu. Ting Liu 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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2026