Zichong Wang

474 total citations
19 papers, 121 citations indexed

About

Zichong Wang is a scholar working on Artificial Intelligence, Safety Research and Sociology and Political Science. According to data from OpenAlex, Zichong Wang has authored 19 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Safety Research and 3 papers in Sociology and Political Science. Recurrent topics in Zichong Wang's work include Ethics and Social Impacts of AI (10 papers), Privacy-Preserving Technologies in Data (4 papers) and Advanced Graph Neural Networks (3 papers). Zichong Wang is often cited by papers focused on Ethics and Social Impacts of AI (10 papers), Privacy-Preserving Technologies in Data (4 papers) and Advanced Graph Neural Networks (3 papers). Zichong Wang collaborates with scholars based in United States, China and Canada. Zichong Wang's co-authors include Wenbin Zhang, Min Yang, Shiwen Ni, Xin Yao, Giri Narasimhan, Jun Liu, Xingyu Zhang, Wenbin Zhang, Albert Bifet and Yangmin Li and has published in prestigious journals such as Applied Sciences, Journal of Energy Storage and Knowledge and Information Systems.

In The Last Decade

Zichong Wang

14 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zichong Wang United States	7	68	42	17	17	12	19	121
Vasileios Iosifidis Germany	5	134 2.0×	62 1.5×	11 0.6×	16 0.9×	9 0.8×	7	176
Arjun Roy Germany	5	104 1.5×	66 1.6×	16 0.9×	13 0.8×	10 0.8×	10	151
Trevor Cai United States	3	99 1.5×	20 0.5×	5 0.3×	19 1.1×	17 1.4×	5	146
Saffron Huang United Kingdom	2	103 1.5×	29 0.7×	9 0.5×	18 1.1×	17 1.4×	2	145
Preethi Lahoti Finland	6	68 1.0×	34 0.8×	13 0.8×	15 0.9×	7 0.6×	7	98
Josh Gardner United States	6	81 1.2×	24 0.6×	7 0.4×	15 0.9×	6 0.5×	13	148
Pradyumna Tambwekar United States	5	152 2.2×	45 1.1×	9 0.5×	13 0.8×	31 2.6×	10	190
Emmanouil Krasanakis Greece	4	60 0.9×	35 0.8×	5 0.3×	10 0.6×	8 0.7×	14	85
David Madras Canada	4	88 1.3×	52 1.2×	11 0.6×	9 0.5×	19 1.6×	9	133
Amelia Glaese United States	4	100 1.5×	22 0.5×	5 0.3×	18 1.1×	17 1.4×	6	145

Countries citing papers authored by Zichong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zichong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zichong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zichong Wang. A scholar is included among the top collaborators of Zichong 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 Zichong Wang. Zichong 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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19 of 19 papers shown

Wang, Zichong, et al.. (2025). Fairness in Language Models: A Tutorial. 6849–6852.

Wang, Zichong, et al.. (2025). Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI. 6853–6856.

Wang, Zichong, et al.. (2025). Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. ACM SIGKDD Explorations Newsletter. 27(2). 1–12.

Saxena, Nripsuta Ani, Zichong Wang, Deng Pan, et al.. (2025). Generative AI in depth: A survey of recent advances, model variants, and real-world applications. Journal Of Big Data. 12(1).

Wang, Zichong, et al.. (2025). Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments. Applied Sciences. 15(5). 2702–2702. 1 indexed citations

Wang, Zichong, et al.. (2025). AI-driven healthcare: A review on ensuring fairness and mitigating bias. PLOS Digital Health. 4(5). e0000864–e0000864. 16 indexed citations

Wang, Zichong, et al.. (2025). Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. Proceedings of the AAAI Conference on Artificial Intelligence. 39(27). 28485–28493. 1 indexed citations

Wang, Zichong, Nuno Moniz, Shu Hu, et al.. (2025). Towards Fairness with Limited Demographics via Disentangled Learning. 565–573.

Wang, Zichong, et al.. (2025). Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. ACM SIGKDD Explorations Newsletter. 26(2). 89–98. 4 indexed citations

10.

Wang, Zichong, Liping Yang, Tingting Zhang, et al.. (2025). FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. ACM SIGKDD Explorations Newsletter. 26(2). 99–108. 6 indexed citations

11.

Zheng, Yingying, et al.. (2024). Optimal scheduling strategy of electricity and thermal energy storage based on soft actor-critic reinforcement learning approach. Journal of Energy Storage. 92. 112084–112084. 7 indexed citations

12.

Wang, Zichong, et al.. (2024). Toward fair graph neural networks via real counterfactual samples. Knowledge and Information Systems. 66(11). 6617–6641. 7 indexed citations

13.

Wang, Zichong, et al.. (2024). Fairness in Large Language Models in Three Hours. 5514–5517. 3 indexed citations

14.

Wang, Zichong, et al.. (2024). History, development, and principles of large language models: an introductory survey. AI and Ethics. 5(3). 1955–1971. 23 indexed citations

15.

Wang, Zichong, et al.. (2024). Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. 420–421. 5 indexed citations

16.

Wang, Zichong, et al.. (2024). Fairness in Large Language Models: A Taxonomic Survey. ACM SIGKDD Explorations Newsletter. 26(1). 34–48. 24 indexed citations

17.

Yin, Zhipeng, Zichong Wang, Xuyu Wang, et al.. (2023). Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. 1565–1574. 3 indexed citations

18.

Wang, Zichong, Nripsuta Ani Saxena, Israat Haque, et al.. (2023). Preventing Discriminatory Decision-making in Evolving Data Streams. Digital Commons - Michigan Tech (Michigan Technological University). 149–159. 11 indexed citations

19.

Wang, Zichong, Giri Narasimhan, Xin Yao, & Wenbin Zhang. (2023). Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. 638–647. 10 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.

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