Qiming Diao is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics.
According to data from OpenAlex, Qiming Diao has authored 6 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Qiming Diao's work include Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (4 papers) and Web Data Mining and Analysis (3 papers). Qiming Diao is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (4 papers) and Web Data Mining and Analysis (3 papers). Qiming Diao collaborates with scholars based in Singapore and United States. Qiming Diao's co-authors include Jing Jiang, Chao-Yuan Wu, Minghui Qiu, Alexander J. Smola, Chong Wang, Feida Zhu, Ee‐Peng Lim and Ying Ding and has published in prestigious journals such as Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).
In The Last Decade
Qiming Diao
6 papers
receiving
447 citations
Hit Papers
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 threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
2014297 citationsQiming Diao, Minghui Qiu et al.profile →
Citations per year, relative to Qiming Diao Qiming Diao (= 1×)
peers
Cane Wing-ki Leung
Countries citing papers authored by Qiming Diao
Since
Specialization
Citations
This map shows the geographic impact of Qiming Diao'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 Qiming Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiming Diao more than expected).
This network shows the impact of papers produced by Qiming Diao. 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 Qiming Diao. The network helps show where Qiming Diao may publish in the future.
Co-authorship network of co-authors of Qiming Diao
This figure shows the co-authorship network connecting the top 25 collaborators of Qiming Diao.
A scholar is included among the top collaborators of Qiming Diao 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 Qiming Diao. Qiming Diao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
6 of 6 papers shown
1.
Diao, Qiming. (2015). Event identification and analysis on Twitter. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).2 indexed citations
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.