Tianyi Dai

46 total papers · 2.1k total citations
44 papers, 1.7k citations indexed

About

Tianyi Dai is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis and Electrical and Electronic Engineering. According to data from OpenAlex, Tianyi Dai has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Renewable Energy, Sustainability and the Environment, 16 papers in Catalysis and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Tianyi Dai's work include Ammonia Synthesis and Nitrogen Reduction (15 papers), Electrocatalysts for Energy Conversion (11 papers) and Advanced Photocatalysis Techniques (11 papers). Tianyi Dai is often cited by papers focused on Ammonia Synthesis and Nitrogen Reduction (15 papers), Electrocatalysts for Energy Conversion (11 papers) and Advanced Photocatalysis Techniques (11 papers). Tianyi Dai collaborates with scholars based in China, South Korea and New Zealand. Tianyi Dai's co-authors include Qing Jiang, Yunling Liu, Qisheng Huo, Zhen‐An Qiao, Hongwei Li, Yang Gao, Yifan Wang, Xingyou Lang, Zi Wen and Hang Shi and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Tianyi Dai

42 papers receiving 1.7k citations

Hit Papers

Commercially activated ca... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Tianyi Dai 877 614 553 310 296 44 1.7k
Yu Wang 876 1.0× 1.0k 1.7× 578 1.0× 214 0.7× 229 0.8× 44 1.5k
Md Delowar Hossain 948 1.1× 1.1k 1.8× 902 1.6× 278 0.9× 235 0.8× 43 2.1k
Libei Huang 778 0.9× 1.2k 2.0× 653 1.2× 587 1.9× 525 1.8× 42 2.1k
Ying Sun 639 0.7× 696 1.1× 1.2k 2.1× 448 1.4× 176 0.6× 76 2.1k
Hao Fei 809 0.9× 1.5k 2.5× 1.1k 2.0× 380 1.2× 101 0.3× 54 2.1k
Qiao Zhang 1.2k 1.4× 1.7k 2.7× 750 1.4× 258 0.8× 239 0.8× 45 2.1k
Thành Trần‐Phú 867 1.0× 1.3k 2.2× 781 1.4× 725 2.3× 213 0.7× 52 2.1k
Jiace Hao 861 1.0× 1.7k 2.8× 915 1.7× 468 1.5× 142 0.5× 37 2.3k
Patrick Wilde 556 0.6× 1.1k 1.8× 1.0k 1.8× 255 0.8× 133 0.4× 35 1.8k
Zhaoquan Xu 752 0.9× 1.6k 2.5× 1.2k 2.2× 424 1.4× 245 0.8× 34 2.1k

Countries citing papers authored by Tianyi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Dai

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