H. M. Hu

469 total citations
2 papers, 7 citations indexed

About

H. M. Hu is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Safety, Risk, Reliability and Quality. According to data from OpenAlex, H. M. Hu has authored 2 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Civil and Structural Engineering, 2 papers in Management, Monitoring, Policy and Law and 1 paper in Safety, Risk, Reliability and Quality. Recurrent topics in H. M. Hu's work include Dam Engineering and Safety (2 papers), Landslides and related hazards (2 papers) and Neural Networks and Applications (1 paper). H. M. Hu is often cited by papers focused on Dam Engineering and Safety (2 papers), Landslides and related hazards (2 papers) and Neural Networks and Applications (1 paper). H. M. Hu collaborates with scholars based in China. H. M. Hu's co-authors include Lin Wang, Chongzhi Wu, Junzhi Liu, Yang Zhou and Lin Wang and has published in prestigious journals such as Landslides and Bulletin of Engineering Geology and the Environment.

In The Last Decade

H. M. Hu

2 papers receiving 6 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. M. Hu China	2	6	3	2	2	1	2	7
Arturo Soberón Mora Mexico	2	4 0.7×			2 1.0×		7	9
Z. Y. Yi China	2	3 0.5×	1 0.3×	2 1.0×			7	9
Oswald Schreiner	1	3 0.5×		2 1.0×	3 1.5×		2	6
Tayfun Kurt Türkiye	2	3 0.5×			2 1.0×	1 1.0×	3	3
H. L. Dai China	1	3 0.5×	1 0.3×		3 1.5×		2	3
Océane Beaufort France	1	3 0.5×					2	5
Ana Teles Germany	2	2 0.3×			1 0.5×		2	4
Igor Peshevski North Macedonia	3	6 1.0×	1 0.3×		5 2.5×	3 3.0×	7	13
Luís Américo Silva Bonfim Brazil	2	2 0.3×					4	5

Countries citing papers authored by H. M. Hu

Since Specialization

Citations

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

Fields of papers citing papers by H. M. Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. M. Hu. 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 H. M. Hu. The network helps show where H. M. Hu may publish in the future.

Co-authorship network of co-authors of H. M. Hu

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

All Works

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2 of 2 papers shown

1.

Wang, Lin, et al.. (2025). Advancing dynamic reliability assessment of reservoir slopes using attention-based neural networks. Bulletin of Engineering Geology and the Environment. 84(6). 1 indexed citations

2.

Wang, Lin, et al.. (2024). Novel approach to quantitative risk assessment of reservoir landslides using a hybrid CNN-LSTM model. Landslides. 22(3). 943–956. 6 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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