Phayung Meesad

2.0k total citations
115 papers, 1.2k citations indexed

About

Phayung Meesad is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Phayung Meesad has authored 115 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 19 papers in Management Science and Operations Research and 17 papers in Information Systems. Recurrent topics in Phayung Meesad's work include Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (18 papers) and Stock Market Forecasting Methods (14 papers). Phayung Meesad is often cited by papers focused on Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (18 papers) and Stock Market Forecasting Methods (14 papers). Phayung Meesad collaborates with scholars based in Thailand, Germany and United States. Phayung Meesad's co-authors include Gary G. Yen, Herwig Unger, Nihat Kasap, Dursun Delen, Choochart Haruechaiyasak, Mohammad Sultan Mahmud, Sanoe Koonprasert, Nasrin Sultana, Dat Tran and Jiajia Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Phayung Meesad

102 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phayung Meesad Thailand	17	625	192	168	158	113	115	1.2k
B. K. Tripathy India	19	513 0.8×	281 1.5×	48 0.3×	157 1.0×	141 1.2×	145	1.1k
Jiaoyan Chen China	20	761 1.2×	94 0.5×	37 0.2×	221 1.4×	161 1.4×	79	1.1k
J. Anuradha India	11	352 0.6×	176 0.9×	88 0.5×	79 0.5×	126 1.1×	31	942
José A. Sáez Spain	17	1.5k 2.3×	241 1.3×	140 0.8×	59 0.4×	287 2.5×	43	2.0k
Mohammad‐Reza Feizi‐Derakhshi Iran	20	690 1.1×	255 1.3×	61 0.4×	45 0.3×	294 2.6×	98	1.4k
Hasan Bulut Türkiye	15	872 1.4×	344 1.8×	55 0.3×	60 0.4×	165 1.5×	57	1.5k
O. P. Vyas India	17	498 0.8×	384 2.0×	47 0.3×	57 0.4×	135 1.2×	120	1.1k
Chris Drummond Canada	11	946 1.5×	334 1.7×	74 0.4×	57 0.4×	166 1.5×	24	1.4k
Zied Elouedi Tunisia	15	518 0.8×	195 1.0×	40 0.2×	183 1.2×	83 0.7×	64	883
Jafar Habibi Iran	17	633 1.0×	341 1.8×	289 1.7×	40 0.3×	51 0.5×	97	1.3k

Countries citing papers authored by Phayung Meesad

Since Specialization

Citations

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

Fields of papers citing papers by Phayung Meesad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phayung Meesad

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

Koonprasert, Sanoe, et al.. (2024). Fareeha Transform Performance In Solving Fractional Differential Telegraph Equations Combining Adomian Decomposition Method. WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL. 19. 85–97. 7 indexed citations

Koonprasert, Sanoe, et al.. (2024). General Integral Transform Performance for Space-Time Fractional Telegraph Equations. WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL. 19. 51–61. 6 indexed citations

Koonprasert, Sanoe, et al.. (2024). New Solutions of Benney-Luke Equation Using The (G’/G,1/G) Method. WSEAS TRANSACTIONS ON MATHEMATICS. 23. 267–275. 7 indexed citations

Meesad, Phayung, et al.. (2024). Innovative Portfolio Optimization Using Deep Q-Network Reinforcement Learning. 292–297.

Meesad, Phayung, et al.. (2024). On Students’ Sentiment Prediction Based on Deep Learning: Applied Information Literacy. SN Computer Science. 5(7). 3 indexed citations

Meesad, Phayung, et al.. (2024). Libraries in Transformation. 2 indexed citations

Meesad, Phayung, et al.. (2023). A Comparative ResNet-50, InceptionV3 and EfficientNetB3 with Retinal Disease. 283–287. 2 indexed citations

Meesad, Phayung, et al.. (2023). English–Vietnamese Machine Translation Using Deep Learning for Chatbot Applications. SN Computer Science. 5(1). 12 indexed citations

Meesad, Phayung, et al.. (2019). Recent Advances in Information and Communication Technology 2019. Advances in intelligent systems and computing. 8 indexed citations

10.

Meesad, Phayung. (2016). Recent Advances in Information and Communication Technology 2016 Proceedings of the 12th International Conference on Computing and Information Technology (IC2IT). Springer eBooks. 7 indexed citations

11.

Meesad, Phayung, et al.. (2013). Optimizing of Interval Type-2 Fuzzy Logic Systems Using Hybrid Heuristic Algorithm Evaluated by Classification. 4(4). 77–84. 1 indexed citations

12.

Meesad, Phayung, et al.. (2012). Ensemble Data Classification based on Diversity of Classifiers Optimized by Genetic Algorithm. Advanced materials research. 433-440. 6572–6578. 4 indexed citations

13.

Meesad, Phayung, et al.. (2011). PM<sub>10</sub> Prediction Model by Support Vector Regression Based on Particle Swarm Optimization. Advanced materials research. 403-408. 3693–3698. 5 indexed citations

14.

Haruechaiyasak, Choochart, et al.. (2010). Classifying Business Types from Twitter Posts Using Active Learning.. 2017. 180–189.

15.

Meesad, Phayung, et al.. (2010). Improving Web Page Classification by Integrating Neighboring Pages via a Topic Model.. 238–246. 2 indexed citations

16.

Sanguansat, Parinya, et al.. (2010). A Comparative Study on Feature Weight in Thai Document Categorization Framework.. 257–266. 6 indexed citations

17.

Li, Zhong, et al.. (2010). On the Convergence of a Leader-Following Discrete-Time Consensus Protocol.. 29(12). 278–285. 1 indexed citations

18.

Meesad, Phayung, et al.. (2009). Recommending related articles in wikipedia via a topic-based model. 194–203. 6 indexed citations

19.

Meesad, Phayung, et al.. (2008). Automatic Resolver Group Assignment of IT Service Desk Outsourcing in Banking Business. 4(1). 73–78. 1 indexed citations

20.

Yen, Gary G. & Phayung Meesad. (2003). Pattern classification by an incremental learning fuzzy neural network. SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University). 5. 3230–3235. 2 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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