Thi-Thu-Hong Phan

663 total citations
25 papers, 428 citations indexed

About

Thi-Thu-Hong Phan is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, Thi-Thu-Hong Phan has authored 25 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 9 papers in Genetics and 8 papers in Insect Science. Recurrent topics in Thi-Thu-Hong Phan's work include Insect and Arachnid Ecology and Behavior (8 papers), Plant and animal studies (8 papers) and Insect and Pesticide Research (7 papers). Thi-Thu-Hong Phan is often cited by papers focused on Insect and Arachnid Ecology and Behavior (8 papers), Plant and animal studies (8 papers) and Insect and Pesticide Research (7 papers). Thi-Thu-Hong Phan collaborates with scholars based in Vietnam, France and United States. Thi-Thu-Hong Phan's co-authors include Xuan Hoai Nguyen, André Bigand, Alain Lefebvre, Huu Du Nguyen, Vinh Truong Hoang, Hai Vu, Trương Thu Hương, Hai L. Vu, Sandhya Babel and Thi‐Lan Le and has published in prestigious journals such as Advances in Water Resources, Pattern Recognition Letters and Water Air & Soil Pollution.

In The Last Decade

Thi-Thu-Hong Phan

20 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thi-Thu-Hong Phan Vietnam 9 185 156 70 56 49 25 428
Mengjiao Qin China 10 105 0.6× 37 0.2× 58 0.8× 67 1.2× 69 1.4× 20 408
Mohammad Zeynoddin Canada 11 313 1.7× 222 1.4× 175 2.5× 56 1.0× 75 1.5× 21 530
Yuming Lu China 10 55 0.3× 62 0.4× 61 0.9× 40 0.7× 40 0.8× 35 354
Roozbeh Moazenzadeh Iran 11 339 1.8× 248 1.6× 259 3.7× 138 2.5× 95 1.9× 15 707
Yongnian Jiang China 9 109 0.6× 131 0.8× 26 0.4× 43 0.8× 24 0.5× 13 444
Jungwook Kim South Korea 11 149 0.8× 181 1.2× 169 2.4× 29 0.5× 22 0.4× 53 549
Cihan Mert Georgia 6 190 1.0× 90 0.6× 93 1.3× 117 2.1× 82 1.7× 14 429
Lihua Song China 6 248 1.3× 395 2.5× 47 0.7× 74 1.3× 137 2.8× 22 725
Jingxin Yu China 11 148 0.8× 47 0.3× 72 1.0× 117 2.1× 30 0.6× 32 472

Countries citing papers authored by Thi-Thu-Hong Phan

Since Specialization
Citations

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

Fields of papers citing papers by Thi-Thu-Hong Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thi-Thu-Hong Phan. 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 Thi-Thu-Hong Phan. The network helps show where Thi-Thu-Hong Phan may publish in the future.

Co-authorship network of co-authors of Thi-Thu-Hong Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Thi-Thu-Hong Phan. A scholar is included among the top collaborators of Thi-Thu-Hong Phan 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 Thi-Thu-Hong Phan. Thi-Thu-Hong Phan 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
1.
Phan, Thi-Thu-Hong, et al.. (2025). Enhancing rice seed purity recognition accuracy based on optimal feature selection. Ecological Informatics. 86. 103044–103044.
2.
Phan, Thi-Thu-Hong, et al.. (2024). Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques. Ecological Informatics. 82. 102744–102744. 5 indexed citations
3.
Phan, Thi-Thu-Hong, et al.. (2024). A novel method for identifying rice seed purity using hybrid machine learning algorithms. Heliyon. 10(14). e33941–e33941. 4 indexed citations
4.
5.
Phan, Thi-Thu-Hong, et al.. (2024). Local Binary Patterns for Classifying Pistachio Species. 1–4.
6.
Phan, Thi-Thu-Hong, et al.. (2023). Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system. Ecological Informatics. 74. 101991–101991. 102 indexed citations
7.
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Hương, Trương Thu, et al.. (2023). A deep learning-based approach for bee sound identification. Ecological Informatics. 78. 102274–102274. 15 indexed citations
9.
Phan, Thi-Thu-Hong, et al.. (2023). A Novel Convolutional Neural Network Architecture for Pollen-Bearing Honeybee Recognition. International Journal of Advanced Computer Science and Applications. 14(8). 1 indexed citations
10.
11.
Nguyen, Luong Vuong, et al.. (2023). Matrix Factorization-Based Unify Multiple Interactions for Cross-Domain Recommendation Services. 148–152. 1 indexed citations
12.
Phan, Thi-Thu-Hong, et al.. (2022). A method for automatic honey bees detection and counting from images with high density of bees. 406–411. 4 indexed citations
13.
Phan, Thi-Thu-Hong, et al.. (2022). Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition. Soft Computing. 27(9). 5873–5892. 13 indexed citations
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Phan, Thi-Thu-Hong & Xuan Hoai Nguyen. (2020). Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river. Advances in Water Resources. 142. 103656–103656. 125 indexed citations
17.
Du, Nguyen Huu, et al.. (2020). Toward Audio Beehive Monitoring Based on IoT-AI techniques: A Survey and Perspective. 3(1). 530–540. 1 indexed citations
18.
Phan, Thi-Thu-Hong. (2020). Machine Learning for Univariate Time Series Imputation. 1–6. 15 indexed citations
19.
Phan, Thi-Thu-Hong, et al.. (2018). Comparative Study on Univariate Forecasting Methods for Meteorological Time Series. HAL (Le Centre pour la Communication Scientifique Directe). 2380–2384. 15 indexed citations
20.
Phan, Thi-Thu-Hong, et al.. (2015). Comparative Study on Vision Based Rice Seed Varieties Identification. 377–382. 39 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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