Danding Wang

33 total papers · 1.9k total citations
18 papers, 1.0k citations indexed

About

Danding Wang is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Danding Wang has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 4 papers in Information Systems. Recurrent topics in Danding Wang's work include Misinformation and Its Impacts (7 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Spam and Phishing Detection (4 papers). Danding Wang is often cited by papers focused on Misinformation and Its Impacts (7 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Spam and Phishing Detection (4 papers). Danding Wang collaborates with scholars based in China, Singapore and Denmark. Danding Wang's co-authors include Brian Y. Lim, Ashraf Abdul, Qian Yang, Mohan Kankanhalli, Jo Vermeulen, Juan Cao, Qiang Sheng, Yang Li, Yuhui Shi and Wencan Zhang and has published in prestigious journals such as Artificial Intelligence, Information Processing & Management and Frontiers of Computer Science.

In The Last Decade

Danding Wang

15 papers receiving 968 citations

Hit Papers

Trends and Trajectories f... 2018 2026 2020 2023 2018 2024 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Danding Wang 683 288 171 147 137 18 1.0k
Ashraf Abdul 645 0.9× 302 1.0× 171 1.0× 97 0.7× 58 0.4× 7 935
Abeba Birhane 447 0.7× 415 1.4× 167 1.0× 96 0.7× 196 1.4× 26 1.2k
Stephanie Houde 373 0.5× 302 1.0× 120 0.7× 95 0.6× 75 0.5× 23 806
Justin D. Weisz 387 0.6× 136 0.5× 70 0.4× 137 0.9× 133 1.0× 34 824
Dan Weld 443 0.6× 221 0.8× 94 0.5× 108 0.7× 80 0.6× 6 940
Alex Hanna 347 0.5× 280 1.0× 66 0.4× 86 0.6× 179 1.3× 26 946
Tolga Bolukbasi 806 1.2× 215 0.7× 93 0.5× 72 0.5× 123 0.9× 15 1.2k
Andrew Smart 359 0.5× 434 1.5× 144 0.8× 117 0.8× 116 0.8× 20 904
Kuntal Dey 627 0.9× 298 1.0× 87 0.5× 174 1.2× 77 0.6× 54 1.1k
Tongshuang Wu 593 0.9× 90 0.3× 56 0.3× 131 0.9× 52 0.4× 47 929

Countries citing papers authored by Danding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Danding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danding Wang

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