Xinru Wang

555 total citations · 1 hit paper
10 papers, 292 citations indexed

About

Xinru Wang is a scholar working on Artificial Intelligence, Safety Research and Management Information Systems. According to data from OpenAlex, Xinru Wang has authored 10 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Safety Research and 3 papers in Management Information Systems. Recurrent topics in Xinru Wang's work include Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (6 papers) and Big Data and Business Intelligence (3 papers). Xinru Wang is often cited by papers focused on Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (6 papers) and Big Data and Business Intelligence (3 papers). Xinru Wang collaborates with scholars based in United States, China and Hong Kong. Xinru Wang's co-authors include Ming Yin, Shuai Ma, Xiaojuan Ma, Chengbo Zheng, Hannah Kim, Sajjadur Rahman, Xinlin Yao, Jianyu Zhao, Long Peng and Xianyou Wang and has published in prestigious journals such as Electrochimica Acta, Internet Research and Quarterly Journal of Experimental Psychology.

In The Last Decade

Xinru Wang

9 papers receiving 288 citations

Hit Papers

Are Explanations Helpful? A Comparative Study of the Effe... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinru Wang United States 5 190 110 53 42 27 10 292
Zhuoran Lu United States 8 157 0.8× 81 0.7× 61 1.2× 25 0.6× 37 1.4× 21 264
Ana Marasović United States 8 318 1.7× 141 1.3× 61 1.2× 66 1.6× 8 0.3× 16 456
Agathe Balayn Netherlands 10 147 0.8× 108 1.0× 20 0.4× 38 0.9× 13 0.5× 22 248
Qian Pan United States 8 152 0.8× 98 0.9× 73 1.4× 22 0.5× 14 0.5× 22 274
Alice Xiang United States 6 131 0.7× 78 0.7× 14 0.3× 23 0.5× 15 0.6× 18 293
Samir Passi United States 6 90 0.5× 128 1.2× 15 0.3× 28 0.7× 19 0.7× 9 283
Martin Schuessler Germany 6 164 0.9× 117 1.1× 6 0.1× 43 1.0× 16 0.6× 10 330
Jamila Smith-Loud United States 2 220 1.2× 283 2.6× 12 0.2× 94 2.2× 22 0.8× 2 436
Eleonora Viganò Switzerland 6 103 0.5× 128 1.2× 28 0.5× 69 1.6× 9 0.3× 14 253
Ángel Alexander Cabrera United States 7 94 0.5× 68 0.6× 11 0.2× 18 0.4× 10 0.4× 8 174

Countries citing papers authored by Xinru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinru Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinru Wang. A scholar is included among the top collaborators of Xinru 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 Xinru Wang. Xinru Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ma, Shuai, Xinru Wang, Chengbo Zheng, et al.. (2025). Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–23. 3 indexed citations
2.
Liu, Mengjie, et al.. (2025). The self-consistency effect seen on the Dot Perspective Task: Perspective-taking or attention cueing?. Quarterly Journal of Experimental Psychology. 79(2). 311–323. 1 indexed citations
3.
Wang, Xinru, Tao Zhang, Zhifeng Huang, et al.. (2025). Defect-engineered nitrogen-doped graphite felt via biuret activation for high-performance vanadium redox flow batteries. Electrochimica Acta. 539. 147098–147098.
4.
Ma, Shuai, et al.. (2024). “Are You Really Sure?” Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–20. 12 indexed citations
5.
Wang, Xinru, et al.. (2024). Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. 1–21. 32 indexed citations
6.
Wang, Xinru. (2024). Human-Centered Evaluation of Explanations in AI-Assisted Decision-Making. 134–136. 1 indexed citations
7.
Zhao, Jianyu, et al.. (2024). Digital-intelligence transformation, for better or worse? The roles of pace, scope and rhythm. Internet Research. 35(4). 1465–1507. 4 indexed citations
9.
Ma, Shuai, et al.. (2023). Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–19. 66 indexed citations
10.
Wang, Xinru & Ming Yin. (2021). Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making. 318–328. 152 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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