Ting Liu

1.9k total citations
74 papers, 1.1k citations indexed

About

Ting Liu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Ting Liu has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Molecular Biology and 10 papers in Computer Networks and Communications. Recurrent topics in Ting Liu's work include Topic Modeling (8 papers), Manufacturing Process and Optimization (7 papers) and Natural Language Processing Techniques (6 papers). Ting Liu is often cited by papers focused on Topic Modeling (8 papers), Manufacturing Process and Optimization (7 papers) and Natural Language Processing Techniques (6 papers). Ting Liu collaborates with scholars based in China, United States and Singapore. Ting Liu's co-authors include Xiao Ding, Junwen Duan, Yue Zhang, Jiangxin Yang, Yanlong Cao, Jian Zhong, Zhiwei Xia, Yinan Yan, Ping Wang and Xunwei Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Ting Liu

69 papers receiving 1.1k citations

Peers

Ting Liu
Comparison fields: 5 of 148
  • Molecular Biology 282
  • Artificial Intelligence 245
  • Management Science and Operations Research 146
  • Biomedical Engineering 143
  • Economics and Econometrics 115
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Citations per field, relative to Ting Liu
Ting Liu · 1×
Citations per year, relative to Ting Liu
Ting Liu · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 15
6 37
7 1
8 8
9 3
10
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training
17
11 9
12
The Validation of MRCPD Cross-language Expansions on Imageability Ratings.
1
13 2
14
Implicit User Consumption Intent Recognition in Social Media
2
15 6
16 160
17 93
18 11
19
Perceptions of Travel Importance,Travel Motivation and Demographic Characteristics: An Empirical Study Based on a Large-Scale Telephone Survey with Hong Kong Residents
2
20 7

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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