Suttipong Thajchayapong

1.2k total citations · 1 hit paper
42 papers, 841 citations indexed

About

Suttipong Thajchayapong is a scholar working on Artificial Intelligence, Building and Construction and Transportation. According to data from OpenAlex, Suttipong Thajchayapong has authored 42 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Building and Construction and 8 papers in Transportation. Recurrent topics in Suttipong Thajchayapong's work include Traffic Prediction and Management Techniques (14 papers), Anomaly Detection Techniques and Applications (8 papers) and Stock Market Forecasting Methods (6 papers). Suttipong Thajchayapong is often cited by papers focused on Traffic Prediction and Management Techniques (14 papers), Anomaly Detection Techniques and Applications (8 papers) and Stock Market Forecasting Methods (6 papers). Suttipong Thajchayapong collaborates with scholars based in Thailand, United Kingdom and Japan. Suttipong Thajchayapong's co-authors include Suporn Pongnumkul, Javier Barria, Jon M. Peha, Poj Tangamchit, Wasan Pattara-Atikom, Panita Pongpaibool, Navee Chiadamrong, Van‐Nam Huynh, Sorawat Chivapreecha and O.K. Tonguz and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Communications Letters.

In The Last Decade

Suttipong Thajchayapong

40 papers receiving 794 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.

Performance Analysis of Private Blockchain Platforms in Varying Workloads

2017 269 citations Suporn Pongnumkul, Suttipong Thajchayapong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suttipong Thajchayapong Thailand	15	276	262	210	188	130	42	841
Huigui Rong China	12	218 0.8×	210 0.8×	86 0.4×	156 0.8×	156 1.2×	31	784
Zeinab Shahbazi South Korea	18	362 1.3×	164 0.6×	87 0.4×	136 0.7×	141 1.1×	42	845
Mohammad Reza Jabbarpour Iran	17	154 0.6×	253 1.0×	146 0.7×	162 0.9×	257 2.0×	33	727
Roberto Minerva France	15	200 0.7×	347 1.3×	155 0.7×	129 0.7×	141 1.1×	47	1.1k
Chunhua Hu China	11	246 0.9×	299 1.1×	71 0.3×	238 1.3×	126 1.0×	16	811
Sebastian Stein United Kingdom	19	323 1.2×	360 1.4×	109 0.5×	242 1.3×	480 3.7×	108	1.4k
Mark Nejad United States	21	900 3.3×	603 2.3×	170 0.8×	279 1.5×	177 1.4×	43	1.3k
Fernando Terroso-Sáenz Spain	15	87 0.3×	212 0.8×	204 1.0×	109 0.6×	239 1.8×	53	809

Countries citing papers authored by Suttipong Thajchayapong

Since Specialization

Citations

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

Fields of papers citing papers by Suttipong Thajchayapong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suttipong Thajchayapong

This figure shows the co-authorship network connecting the top 25 collaborators of Suttipong Thajchayapong. A scholar is included among the top collaborators of Suttipong Thajchayapong 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 Suttipong Thajchayapong. Suttipong Thajchayapong 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

Huynh, Van‐Nam, et al.. (2025). Predicting post-IPO financial performance: a hybrid approach using logistic regression and decision trees. 32(1). 52–65. 1 indexed citations

Chiadamrong, Navee, et al.. (2024). A five-phase combinatorial approach for solving a fuzzy linear programming supply chain production planning problem. Cogent Engineering. 11(1).

Thajchayapong, Suttipong, et al.. (2023). Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis. Heliyon. 9(5). e15947–e15947. 2 indexed citations

Huynh, Van‐Nam, et al.. (2023). Predicting financial performance for listed companies in Thailand during the transition period: A class-based approach using logistic regression and random forest algorithm. Journal of Open Innovation Technology Market and Complexity. 9(3). 100130–100130. 23 indexed citations

Thajchayapong, Suttipong, et al.. (2023). Personal data protection compliance assessment: A privacy policy scoring approach and empirical evidence from Thailand's SMEs. Heliyon. 9(10). e20648–e20648. 6 indexed citations

Kongprawechnon, Waree, et al.. (2021). Machine Learning Approach with Multiple Open-source Data for Mapping and Prediction of Poverty in Myanmar. 1041–1045. 6 indexed citations

Tangamchit, Poj, et al.. (2021). Stock Price Manipulation Detection Using Deep Unsupervised Learning: The Case of Thailand. IEEE Access. 9. 106824–106838. 19 indexed citations

Thajchayapong, Suttipong, et al.. (2021). Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income. ACM Transactions on Knowledge Discovery from Data. 15(2). 1–30. 3 indexed citations

Thajchayapong, Suttipong, et al.. (2020). Recognizing Traffic Black Spots From Street View Images Using Environment-Aware Image Processing and Neural Network. IEEE Access. 8. 121469–121478. 23 indexed citations

10.

Tangamchit, Poj, et al.. (2020). Using Generative Adversarial Networks for Detecting Stock Price Manipulation: The Stock Exchange of Thailand Case Study. 2162–2169. 4 indexed citations

11.

Thajchayapong, Suttipong, et al.. (2019). Exploring Night Light as Proxy for Poverty and Income Inequality Approximation in Thailand. 1082–1087. 2 indexed citations

12.

Pongnumkul, Suporn, et al.. (2017). Performance Analysis of Private Blockchain Platforms in Varying Workloads. 1–6. 269 indexed citations breakdown →

13.

Thajchayapong, Suttipong, et al.. (2017). Combining Unsupervised Anomaly Detection and Neural Networks for Driver Identification. Journal of Advanced Transportation. 2017. 1–13. 22 indexed citations

14.

Thajchayapong, Suttipong, et al.. (2017). A Streaming Algorithm for Online Estimation of Temporal and Spatial Extent of Delays. Journal of Advanced Transportation. 2017. 1–13. 2 indexed citations

15.

Thajchayapong, Suttipong, et al.. (2017). Budget and procurement analytics using open government data in Thailand. 1–6. 4 indexed citations

16.

Tangamchit, Poj, et al.. (2016). Stock Price Manipulation Detection Based on Mathematical Models. International Journal of Trade Economics and Finance. 7(3). 81–88. 9 indexed citations

17.

Wuttidittachotti, Pongpisit, et al.. (2015). Traffic signal control using fuzzy logic. 1–6. 10 indexed citations

18.

Chivapreecha, Sorawat, et al.. (2013). A new system for traffic incident detection using fuzzy logic and majority voting. 1–5. 9 indexed citations

19.

Thajchayapong, Suttipong & Javier Barria. (2010). Anomaly Detection using Microscopic Traffic Variables on Freeway Segments. Spiral (Imperial College London). 6 indexed citations

20.

Thajchayapong, Suttipong, et al.. (2010). Lane-level traffic estimations using microscopic traffic variables. 1189–1194. 12 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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