Xuan-Nam Bui

5.6k total citations · 1 hit paper
105 papers, 4.4k citations indexed

About

Xuan-Nam Bui is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Xuan-Nam Bui has authored 105 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanics of Materials, 48 papers in Mechanical Engineering and 34 papers in Civil and Structural Engineering. Recurrent topics in Xuan-Nam Bui's work include Rock Mechanics and Modeling (50 papers), Mineral Processing and Grinding (41 papers) and Geoscience and Mining Technology (23 papers). Xuan-Nam Bui is often cited by papers focused on Rock Mechanics and Modeling (50 papers), Mineral Processing and Grinding (41 papers) and Geoscience and Mining Technology (23 papers). Xuan-Nam Bui collaborates with scholars based in Vietnam, China and South Korea. Xuan-Nam Bui's co-authors include Hoang Nguyen, Hossein Moayedi, Bui Hoang Bac, Quang‐Hieu Tran, T. Nguyen‐Thoi, Yosoon Choi, Dieu Tien Bui, Jian Zhou, Panagiotis G. Asteris and Jin Duan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Xuan-Nam Bui

100 papers receiving 4.3k citations

Hit Papers

A novel artificial intelligence technique to predict comp... 2020 2026 2022 2024 2020 50 100 150 200 250
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
    2020 284 citations Hoang Nguyen, Xuan-Nam Bui et al. Engineering With Computers profile →

Peers

Xuan-Nam Bui
Mohammad Ataei Iran
Mohsen Hajihassani Iran
Mahdi Hasanipanah Iran
Mohammadreza Koopialipoor Iran
Shigui Du China
Hoang Nguyen Vietnam
Wei Liu China
Edy Tonnizam Mohamad Malaysia
Chuanqi Li China
Zhiye Zhao Singapore
Mohammad Ataei Iran
Xuan-Nam Bui
Citations per year, relative to Xuan-Nam Bui Xuan-Nam Bui (= 1×) peers Mohammad Ataei

Countries citing papers authored by Xuan-Nam Bui

Since Specialization
Citations

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

Fields of papers citing papers by Xuan-Nam Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuan-Nam Bui. 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 Xuan-Nam Bui. The network helps show where Xuan-Nam Bui may publish in the future.

Co-authorship network of co-authors of Xuan-Nam Bui

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

All Works

20 of 20 papers shown
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Nguyen, Hoang, Xuan-Nam Bui, Carsten Drebenstedt, & Yosoon Choi. (2025). Improving PPV prediction in open-pit blasting through Cubist-based feature enrichment and machine learning models. International Journal of Mining Reclamation and Environment. 40(3). 234–264.
3.
Nguyen, Hoang, et al.. (2025). Dynamic weighting and genetic algorithm-based hybrid SVR-Ridge model for improving PM 2.5 forecasting in open-pit copper mines. International Journal of Mining Reclamation and Environment. 40(4). 349–379.
4.
Nguyen, Hoang, Xuan-Nam Bui, Carsten Drebenstedt, & Yosoon Choi. (2024). Enhanced Prediction Model for Blast-Induced Air Over-Pressure in Open-Pit Mines Using Data Enrichment and Random Walk-Based Grey Wolf Optimization–Two-Layer ANN Model. Natural Resources Research. 33(2). 943–972. 4 indexed citations
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Ke, Bo, Hoang Nguyen, Xuan-Nam Bui, Bui Hoang Bac, & T. Nguyen‐Thoi. (2021). Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network. Journal of Environmental Management. 293. 112808–112808. 50 indexed citations
8.
Murlidhar, Bhatawdekar Ramesh, Hoang Nguyen, Jamal Rostami, et al.. (2021). Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network. Journal of Rock Mechanics and Geotechnical Engineering. 13(6). 1413–1427. 66 indexed citations
9.
Nguyen, Hoang, et al.. (2021). Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS–PSO–MLP model. Engineering With Computers. 38(S5). 4007–4025. 30 indexed citations
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Nguyen, Hoang, Xuan-Nam Bui, & Quang‐Hieu Tran. (2021). Estimating Air Over-pressure Resulting from Blasting in Quarries Based on a Novel Ensemble Model (GLMNETs–MLPNN). Natural Resources Research. 30(3). 2629–2646. 12 indexed citations
12.
Le, Tien Dung & Xuan-Nam Bui. (2020). Effect of Key Parameters on Top Coal First Caving and Roof First Weighting in Longwall Top Coal Caving: A Case Study. International Journal of Geomechanics. 20(5). 13 indexed citations
13.
Lv, Yingli, Bui Hoang Bac, Xuan-Nam Bui, et al.. (2020). A Comparative Study of Different Machine Learning Algorithms in Predicting the Content of Ilmenite in Titanium Placer. Applied Sciences. 10(2). 635–635. 24 indexed citations
14.
Bui, Xuan-Nam, Hoang Nguyen, Yosoon Choi, et al.. (2020). Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm. Scientific Reports. 10(1). 9939–9939. 94 indexed citations
15.
Nguyen, Hoang, et al.. (2019). Toward a State-of-the-Art of Fly-Rock Prediction Technology in Open-Pit Mines Using EANNs Model. Applied Sciences. 9(21). 4554–4554. 27 indexed citations
16.
Bui, Xuan-Nam, et al.. (2019). A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization. Scientific Reports. 9(1). 13971–13971. 69 indexed citations
17.
Long, Nguyễn Quốc, et al.. (2018). APPLICATION OF KNOTHE-BUDRYK THEORY AND RIGID BODY CONDITION FOR ASSESSMENT OF SUBSIDENCE. Sustainable Development of Mountain Territories. 10(4). 595–605. 9 indexed citations
18.
Bui, Xuan-Nam, et al.. (2016). Application of geostatistical tools to assess geological uncertainty for Sinquyen Copper mine, Vietnam. SHILAP Revista de lepidopterología. 24–30. 2 indexed citations
19.
Wang, Kuen‐Sheng, et al.. (2012). Glass–ceramic from mixtures of bottom ash and fly ash. Waste Management. 32(12). 2306–2314. 74 indexed citations
20.
Bui, Xuan-Nam, Elvin T. Choong, & W. G. Rudd. (1980). Numerical methods for solving the equation for diffusion through wood during drying.. 13(2). 117–121. 8 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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