Hui Han

28 total papers · 719 total citations
16 papers, 452 citations indexed

About

Hui Han is a scholar working on Artificial Intelligence, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Hui Han has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 4 papers in Biomedical Engineering. Recurrent topics in Hui Han's work include Advanced Graph Neural Networks (4 papers), Thermochemical Biomass Conversion Processes (4 papers) and Combustion and flame dynamics (3 papers). Hui Han is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Thermochemical Biomass Conversion Processes (4 papers) and Combustion and flame dynamics (3 papers). Hui Han collaborates with scholars based in China. Hui Han's co-authors include Chuan Shi, Xiao Wang, Nian Liu, Lingyan Zeng, Zhichao Chen, Zhengqi Li, Lin Tang, Chenqiang Gao, Qingxiang Wang and Yue Zhao and has published in prestigious journals such as Applied Energy, Energy and Sensors.

In The Last Decade

Hui Han

14 papers receiving 448 citations

Hit Papers

Self-supervised Heterogen... 2021 2026 2022 2024 2021 50 100 150 200
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
    2021 227 citations Xiao Wang, Nian Liu et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Hui Han 231 110 84 67 62 16 452
Rajkumar Ramamurthy 228 1.0× 37 0.3× 38 0.5× 44 0.7× 21 0.3× 13 526
Sven Giesselbach 198 0.9× 30 0.3× 46 0.5× 46 0.7× 21 0.3× 10 532
Md. Nasim Akhtar 114 0.5× 72 0.7× 72 0.9× 69 1.0× 23 0.4× 30 467
Bogdan Georgiev 183 0.8× 29 0.3× 36 0.4× 46 0.7× 21 0.3× 8 473
Katharina Beckh 184 0.8× 29 0.3× 36 0.4× 44 0.7× 21 0.3× 7 481
Mario Manzo 300 1.3× 59 0.5× 128 1.5× 87 1.3× 15 0.2× 33 548
Haizhou Wu 159 0.7× 14 0.1× 57 0.7× 111 1.7× 124 2.0× 11 418
Qi Wang 167 0.7× 68 0.6× 59 0.7× 15 0.2× 39 0.6× 33 529
Duc Minh Nguyen 89 0.4× 49 0.4× 143 1.7× 20 0.3× 35 0.6× 31 456
Haoliang Jiang 80 0.3× 17 0.2× 101 1.2× 39 0.6× 45 0.7× 14 425

Countries citing papers authored by Hui Han

Since Specialization
Citations

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

Fields of papers citing papers by Hui Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Han. A scholar is included among the top collaborators of Hui Han 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 Hui Han. Hui Han 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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2026