Hiep Van Le

4.4k total citations · 2 hit papers
65 papers, 3.3k citations indexed

About

Hiep Van Le is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Civil and Structural Engineering. According to data from OpenAlex, Hiep Van Le has authored 65 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 25 papers in Management, Monitoring, Policy and Law and 18 papers in Civil and Structural Engineering. Recurrent topics in Hiep Van Le's work include Flood Risk Assessment and Management (33 papers), Landslides and related hazards (25 papers) and Hydrology and Watershed Management Studies (14 papers). Hiep Van Le is often cited by papers focused on Flood Risk Assessment and Management (33 papers), Landslides and related hazards (25 papers) and Hydrology and Watershed Management Studies (14 papers). Hiep Van Le collaborates with scholars based in Vietnam, India and Iran. Hiep Van Le's co-authors include Binh Thai Pham, Indra Prakash, Tran Van Phong, Nadhir Al‐Ansari, Huu Duy Nguyen, Lanh Si Ho, Hai‐Bang Ly, Abolfazl Jaafari, T. Nguyen‐Thoi and Van Quan Tran and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and International Journal of Environmental Research and Public Health.

In The Last Decade

Hiep Van Le

62 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

2021 429 citations Hai‐Bang Ly, Lanh Si Ho et al. Mathematical Problems in Engineering profile →
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

2020 192 citations Binh Thai Pham, Abolfazl Jaafari et al. Symmetry profile →

Peers

Countries citing papers authored by Hiep Van Le

Since Specialization

Citations

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

Fields of papers citing papers by Hiep Van Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiep Van Le. 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 Hiep Van Le. The network helps show where Hiep Van Le may publish in the future.

Co-authorship network of co-authors of Hiep Van Le

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Application of designed enzymatic polysaccharide derivatives as a conditioning agent in wastewater sludge dewatering 2025 ·Journal of Water Process Engineering ·Hiep Van Le, (unknown), Christian P. Lenges, (unknown), Natnael Behabtu, (unknown), Thomas Wintgens	1
2	Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis 2024 ·Physics and Chemistry of the Earth Parts A/B/C ·(unknown), (unknown), (unknown), (unknown), (unknown), Hiep Van Le, Indra Prakash, Binh Thai Pham	6
3	Enhanced Landslide Spatial Prediction Using Hybrid Deep Learning Model and SHAP Analysis: A Case Study of the Tuyen Quang-Ha Giang Expressway, Vietnam 2024 ·Journal of the Indian Society of Remote Sensing ·(unknown), Manh Duc Nguyen, Nguyen Tuan Hung, Cong Cao, Tran Van Phong, (unknown), (unknown), Indra Prakash, Hiep Van Le, Binh Thai Pham	1
4	Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models 2024 ·Computer Modeling in Engineering & Sciences ·(unknown), (unknown), Hiep Van Le, Binh Thai Pham, (unknown), Indra Prakash, Romulus Costache, Manish Pandey	0
5	Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India 2022 ·Advances in Civil Engineering ·(unknown), Mahdis Amiri, Nadhir Al‐Ansari, Indra Prakash, Hiep Van Le, (unknown), Binh Thai Pham	21
6	Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system 2022 ·Neural Computing and Applications ·(unknown), Lanh Si Ho, Hiep Van Le, Indra Prakash, Binh Thai Pham	12
7	Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin 2021 ·Geomatics Natural Hazards and Risk ·(unknown), Nguyễn Minh Hiếu, Tran Van Phong, Mahdis Amiri, Romulus Costache, Nadhir Al‐Ansari, Indra Prakash, Hiep Van Le, (unknown), Binh Thai Pham	13
8	Landslide susceptibility mapping using state-of-the-art machine learning ensembles 2021 ·Geocarto International ·Binh Thai Pham, Vu Duy Vinh, Romulus Costache, Tran Van Phong, (unknown), (unknown), Huu Duy Nguyen, Mahdis Amiri, Mai Thành Tân, Phan Trọng Trịnh, Hiep Van Le, Indra Prakash	39
9	A Comparative Study of Soft Computing Models for Prediction of Permeability Coefficient of Soil 2021 ·Mathematical Problems in Engineering ·Binh Thai Pham, Manh Duc Nguyen, Nadhir Al‐Ansari, Quoc Anh Tran, Lanh Si Ho, Hiep Van Le, Indra Prakash	17
10	Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam 2020 ·Sustainability ·Chinh Luu, (unknown), Binh Thai Pham, Nadhir Al‐Ansari, (unknown), (unknown), (unknown), (unknown), Huu Duy Nguyen, (unknown), Hiep Van Le, Jason von Meding	39
11	Improving Voting Feature Intervals for Spatial Prediction of Landslides 2020 ·Mathematical Problems in Engineering ·Binh Thai Pham, Tran Van Phong, Mohammadtaghi Avand, Nadhir Al‐Ansari, Sushant K. Singh, Hiep Van Le, Indra Prakash	12
12	Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam 2020 ·Journal of Hydrology ·Binh Thai Pham, Chinh Luu, Tran Van Phong, Huu Duy Nguyen, Hiep Van Le, (unknown), (unknown), Indra Prakash	147
13	Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam 2020 ·Applied Sciences ·(unknown), (unknown), Abolfazl Jaafari, Nadhir Al‐Ansari, (unknown), (unknown), Đức Anh Nguyễn, Trung Hieu Tran, Lanh Si Ho, Duy H. N. Nguyen, Indra Prakash, Hiep Van Le, Binh Thai Pham	45
14	Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping 2020 ·CATENA ·Binh Thai Pham, T. Nguyen‐Thoi, Chongchong Qi, Tran Van Phong, Jie Dou, Lanh Si Ho, Hiep Van Le, Indra Prakash	125
15	Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers 2020 ·Geocarto International ·Binh Thai Pham, Tran Van Phong, T. Nguyen‐Thoi, (unknown), Sushant K. Singh, Hai‐Bang Ly, (unknown), Lanh Si Ho, Hiep Van Le, Indra Prakash	76
16	GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment 2020 ·Water ·Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh, Tran Van Phong, Nadhir Al‐Ansari, Lanh Si Ho, Sumit Das, Hiep Van Le, Ata Amini, Saeid Khosrobeigi Bozchaloei, (unknown), Indra Prakash	186
17	Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction breakdown → 2020 ·Symmetry ·Binh Thai Pham, Abolfazl Jaafari, Mohammadtaghi Avand, Nadhir Al‐Ansari, (unknown), Hoang Phan Hải Yen, Tran Van Phong, Duy H. N. Nguyen, Hiep Van Le, Davood Mafi-Gholami, Indra Prakash, (unknown), Tran Thi Tuyen	192
18	Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? 2020 ·Journal of Hydrology ·Binh Thai Pham, Chinh Luu, Tran Van Phong, Phan Trọng Trịnh, Ataollah Shirzadi, (unknown), Shahrokh Asadi, Hiep Van Le, Jason von Meding, John J. Clague	106
19	Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping 2020 ·Applied Sciences ·(unknown), Duong Hai Ha, Mohammadtaghi Avand, Abolfazl Jaafari, Huu Duy Nguyen, Nadhir Al‐Ansari, Tran Van Phong, Rohit Sharma, Raghvendra Kumar, Hiep Van Le, Lanh Si Ho, Indra Prakash, Binh Thai Pham	121
20	Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling 2020 ·Sustainability ·(unknown), Duong Hai Ha, Huu Duy Nguyen, Tran Van Phong, Phan Trọng Trịnh, Nadhir Al‐Ansari, Hiep Van Le, Binh Thai Pham, Lanh Si Ho, Indra Prakash	47

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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