Qiming Diao

9 total papers · 769 total citations
6 papers, 472 citations indexed

About

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 472 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 Advanced Text Analysis Techniques (4 papers), Complex Network Analysis Techniques (4 papers) and Web Data Mining and Analysis (3 papers). Qiming Diao is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Complex Network 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, Alexander J. Smola, Chao-Yuan Wu, Minghui Qiu, Chong Wang, Ee‐Peng Lim, Feida Zhu 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 445 citations

Hit Papers

Jointly modeling aspects,... 2014 2026 2018 2022 2014 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Qiming Diao 365 262 129 54 42 6 472
Gregor Heinrich 305 0.8× 157 0.6× 78 0.6× 69 1.3× 33 0.8× 6 472
Yi Zhang 233 0.6× 162 0.6× 57 0.4× 40 0.7× 29 0.7× 7 406
Cane Wing-ki Leung 250 0.7× 225 0.9× 120 0.9× 72 1.3× 66 1.6× 20 465
Wojciech Gryc 439 1.2× 157 0.6× 145 1.1× 20 0.4× 28 0.7× 7 543
Rahul Pandey 316 0.9× 219 0.8× 39 0.3× 79 1.5× 65 1.5× 11 461
Kristina Lisa Klinkner 195 0.5× 338 1.3× 68 0.5× 63 1.2× 24 0.6× 7 546
Teshome Megersa Bekele 227 0.6× 244 0.9× 141 1.1× 32 0.6× 43 1.0× 12 476
Loulwah AlSumait 203 0.6× 116 0.4× 105 0.8× 23 0.4× 84 2.0× 6 408
Rowan Nairn 272 0.7× 293 1.1× 178 1.4× 38 0.7× 84 2.0× 8 531
Wentao Ouyang 244 0.7× 170 0.6× 169 1.3× 59 1.1× 40 1.0× 15 407

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).

Fields of papers citing papers by Qiming Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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