Yan Dang

47 total papers · 1.2k total citations
36 papers, 864 citations indexed

About

Yan Dang is a scholar working on Information Systems, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Yan Dang has authored 36 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 10 papers in Artificial Intelligence and 9 papers in Information Systems and Management. Recurrent topics in Yan Dang's work include Spam and Phishing Detection (8 papers), Technology Adoption and User Behaviour (7 papers) and Sentiment Analysis and Opinion Mining (4 papers). Yan Dang is often cited by papers focused on Spam and Phishing Detection (8 papers), Technology Adoption and User Behaviour (7 papers) and Sentiment Analysis and Opinion Mining (4 papers). Yan Dang collaborates with scholars based in United States, China and Taiwan. Yan Dang's co-authors include Yulei Zhang, Hsinchun Chen, Hsinchun Chen, Susan A. Brown, Mihail C. Roco, Yulei Zhang, Catherine Larson, Fan Li, Xin Li and Paul Jen‐Hwa Hu and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Journal of Management Information Systems.

In The Last Decade

Yan Dang

32 papers receiving 789 citations

Author Peers

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

Author Last Decade Papers Cites
Yan Dang 298 185 167 90 75 36 864
Qing Ke 135 0.5× 134 0.7× 163 1.0× 137 1.5× 24 0.3× 39 868
Ying Ding 223 0.7× 218 1.2× 112 0.7× 141 1.6× 18 0.2× 42 1.0k
Vikas Kumar 94 0.3× 297 1.6× 202 1.2× 142 1.6× 155 2.1× 100 861
Mobashar Rehman 213 0.7× 190 1.0× 141 0.8× 56 0.6× 29 0.4× 59 750
Christian Meske 276 0.9× 153 0.8× 294 1.8× 132 1.5× 32 0.4× 59 1.0k
Ming‐Yueh Tsay 54 0.2× 222 1.2× 87 0.5× 62 0.7× 48 0.6× 40 859
Feicheng Ma 178 0.6× 150 0.8× 330 2.0× 82 0.9× 16 0.2× 81 1.0k
Gali Halevi 79 0.3× 176 1.0× 120 0.7× 137 1.5× 44 0.6× 33 1.0k
Manoj Parameswaran 91 0.3× 146 0.8× 269 1.6× 138 1.5× 11 0.1× 26 940
Zorica Bogdanović 91 0.3× 213 1.2× 98 0.6× 59 0.7× 125 1.7× 76 724

Countries citing papers authored by Yan Dang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Dang

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