Danding Wang

1.9k total citations · 2 hit papers
18 papers, 1.0k citations indexed

About

Danding Wang is a scholar working on Sociology and Political Science, Artificial Intelligence 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 Sociology and Political Science, 8 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Danding Wang's work include Misinformation and Its Impacts (8 papers), Spam and Phishing Detection (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Danding Wang is often cited by papers focused on Misinformation and Its Impacts (8 papers), Spam and Phishing Detection (4 papers) and Explainable Artificial Intelligence (XAI) (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 991 citations

Hit Papers

Trends and Trajectories for Explainable, Accountable and ... 2018 2026 2020 2023 2018 2024 100 200 300 400
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.

  1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems
    2018 423 citations Ashraf Abdul, Jo Vermeulen et al. profile →
  2. Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
    2024 67 citations Qiang Sheng, Juan Cao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danding Wang China 8 698 290 173 151 146 18 1.0k
Ashraf Abdul Singapore 6 657 0.9× 304 1.0× 173 1.0× 99 0.7× 59 0.4× 7 956
Justin D. Weisz United States 13 397 0.6× 143 0.5× 72 0.4× 137 0.9× 134 0.9× 37 856
Stephanie Houde United States 10 384 0.6× 313 1.1× 122 0.7× 94 0.6× 75 0.5× 24 829
Dan Weld United States 6 450 0.6× 223 0.8× 96 0.6× 109 0.7× 81 0.6× 6 973
Gagan Bansal United States 11 471 0.7× 239 0.8× 111 0.6× 62 0.4× 55 0.4× 23 770
Rita Frieske Hong Kong 2 885 1.3× 106 0.4× 291 1.7× 171 1.1× 103 0.7× 3 1.5k
Kuntal Dey India 15 638 0.9× 311 1.1× 88 0.5× 175 1.2× 78 0.5× 54 1.1k
Tongshuang Wu United States 17 608 0.9× 93 0.3× 58 0.3× 133 0.9× 55 0.4× 48 971
Michael Madaio United States 14 266 0.4× 399 1.4× 87 0.5× 133 0.9× 104 0.7× 32 790
Emily Reif United States 10 456 0.7× 72 0.2× 91 0.5× 74 0.5× 37 0.3× 17 802

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

18 of 18 papers shown
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Wang, Danding, et al.. (2025). Exploring news intent and its application: A theory-driven approach. Information Processing & Management. 62(6). 104229–104229. 1 indexed citations
4.
Nan, Qiong, et al.. (2025). Exploiting user comments for early detection of fake news prior to users’ commenting. Frontiers of Computer Science. 19(10). 2 indexed citations
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Sheng, Qiang, et al.. (2025). LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation. ArXiv.org. 435–445. 1 indexed citations
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Sheng, Qiang, et al.. (2024). Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22105–22113. 67 indexed citations breakdown →
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Sheng, Qiang, et al.. (2023). Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. 116–125. 10 indexed citations
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Cao, Juan, et al.. (2023). ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14584–14592. 2 indexed citations
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He, Gaole, Ujwal Gadiraju, Niels van Berkel, et al.. (2023). Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration. Research Repository (Delft University of Technology). 512–517. 3 indexed citations
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Zhang, Shuai, et al.. (2021). MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. 1481–1486. 4 indexed citations
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Wang, Danding, Wencan Zhang, & Brian Y. Lim. (2021). Show or suppress? Managing input uncertainty in machine learning model explanations. Artificial Intelligence. 294. 103456–103456. 16 indexed citations
16.
Lim, Brian Y., Qian Yang, Ashraf Abdul, & Danding Wang. (2019). Why these Explanations? Selecting Intelligibility Types for Explanation Goals.. 16 indexed citations
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Wang, Danding, Qian Yang, Ashraf Abdul, & Brian Y. Lim. (2019). Designing Theory-Driven User-Centric Explainable AI. 1–15. 460 indexed citations
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Abdul, Ashraf, Jo Vermeulen, Danding Wang, Brian Y. Lim, & Mohan Kankanhalli. (2018). Trends and Trajectories for Explainable, Accountable and Intelligible Systems. 1–18. 423 indexed citations breakdown →

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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