Hai Van Pham

600 total citations
35 papers, 364 citations indexed

About

Hai Van Pham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hai Van Pham has authored 35 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Hai Van Pham's work include Robotic Path Planning Algorithms (6 papers), Multi-Criteria Decision Making (5 papers) and Robot Manipulation and Learning (5 papers). Hai Van Pham is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Multi-Criteria Decision Making (5 papers) and Robot Manipulation and Learning (5 papers). Hai Van Pham collaborates with scholars based in Vietnam, China and Japan. Hai Van Pham's co-authors include Lê Hoàng Sơn, Philip Moore, Trần Mạnh Tuấn, Rashmi Agrawal, Vassilis C. Gerogiannis, Xuan-Hien Le, Nguyễn Thanh Tùng, Farzin Asadi, Nguyen Thanh Duc and Antonino Staiano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Hai Van Pham

35 papers receiving 349 citations

Peers

Hai Van Pham

MSOR

CVPR

CSE

Pei Yang China

Gilberto Rivera Mexico

Victor L. Berardi United States

Hung T. Nguyen United States

Pepa Ramírez‐Cobo Spain

Kun Shang China

Terence L. van Zyl South Africa

Qian Yu China

Marzieh Zarinbal Iran

Pei Yang China

Hai Van Pham

62 ×0.6

MSOR

158 ×1.4

95 ×1.2

CVPR

31 ×0.5

CSE

72 ×1.8

Citations per year, relative to Hai Van Pham Hai Van Pham (= 1×) peers Pei Yang

Countries citing papers authored by Hai Van Pham

Since Specialization

Citations

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

Fields of papers citing papers by Hai Van Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Van Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Van Pham. A scholar is included among the top collaborators of Hai Van Pham 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 Hai Van Pham. Hai Van Pham 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

Tuấn, Trần Mạnh, et al.. (2025). A novel fuzzy knowledge graph structure for decision making of multimodal big data. Applied Intelligence. 55(7). 1 indexed citations

Pham, Hai Van, et al.. (2025). The Proposed Smart Supply Chain Management of Operations and Distributions in Forest and Agricultural Products. Asian-Pacific Economic Literature. 39(2). 147–160. 1 indexed citations

Moore, Philip, et al.. (2024). A Generative Artificial Intelligence Using Multilingual Large Language Models for ChatGPT Applications. Applied Sciences. 14(7). 3036–3036. 12 indexed citations

Pham, Hai Van, et al.. (2024). Proposed Multi-ST Model for Collaborating Multiple Robots in Dynamic Environments. Machines. 12(11). 797–797. 2 indexed citations

Pham, Hai Van, et al.. (2024). SELECTION OF TESTS FOR EVALUATING SPECIALIZED PHYSICAL FITNESS IN MALE TALENTED BADMINTON STUDENTS AT THE FACULTY OF PHYSICAL EDUCATION, HO CHI MINH CITY UNIVERSITY OF EDUCATION, VIETNAM. European Journal of Literature, Language and Linguistics Studies - Open Journal Systems. 11(1). 1 indexed citations

Pham, Hai Van, et al.. (2023). A Fuzzy Knowledge Graph Pairs-Based Application for Classification in Decision Making: Case Study of Preeclampsia Signs. Information. 14(2). 104–104. 8 indexed citations

Pham, Hai Van, et al.. (2023). Proposed Intelligent Decision Support System Using Hedge Algebra Integrated with Picture Fuzzy Relations for Improvement of Decision-Making in Medical Diagnoses. International Journal of Fuzzy Systems. 25(8). 3260–3270. 8 indexed citations

Tuấn, Trần Mạnh, Xuan-Hien Le, Nguyễn Thanh Tùng, et al.. (2022). RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning. Axioms. 11(3). 107–107. 29 indexed citations

Tuấn, Trần Mạnh, et al.. (2022). Chronic kidney disease diagnosis using Fuzzy Knowledge Graph Pairs-based inference in the extreme case. SHILAP Revista de lepidopterología. 33. 83–88. 2 indexed citations

10.

York, Brian, Hai Van Pham, C. Hwang, et al.. (2022). High Spin Hall Angle doped BiSbX Topological Insulators using novel high resistive growth and migration barrier layers. 1–2. 1 indexed citations

11.

Pham, Hai Van, et al.. (2022). A novel fuzzy knowledge graph pairs approach in decision making. Multimedia Tools and Applications. 81(18). 26505–26534. 10 indexed citations

12.

Pham, Hai Van, et al.. (2021). Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets. Lanzhou University Institutional Repository. 17 indexed citations

13.

Pham, Hai Van, et al.. (2021). Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets. Sensors. 21(18). 6070–6070. 1 indexed citations

14.

Pham, Hai Van, et al.. (2021). A Knowledge Graph Approach for the Detection of Digital Human Profiles in Big Data. 19(6.2). 6–6. 1 indexed citations

15.

Sơn, Lê Hoàng, et al.. (2020). Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Computing and Applications. 32(23). 17807–17807. 3 indexed citations

16.

Sơn, Lê Hoàng, et al.. (2020). Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Computing and Applications. 32(18). 15237–15248. 9 indexed citations

17.

Pham, Hai Van, et al.. (2020). A Proposal of Deep Learning Model for Classifying User Interests on Social Networks. 10–14. 4 indexed citations

18.

Pham, Hai Van, et al.. (2019). Proposed Smooth-STC Algorithm for Enhanced Coverage Path Planning Performance in Mobile Robot Applications. Robotics. 8(2). 44–44. 17 indexed citations

19.

Pham, Hai Van, et al.. (2019). A new method using knowledge reasoning techniques for improving robot performance in coverage path planning. International Journal of Computer Applications in Technology. 60(1). 57–57. 1 indexed citations

20.

Liu, Bin, et al.. (2007). Towards Automatic Construction of News Directory Systems. European Journal of Combinatorics. 208–216. 1 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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