Yi‐Zeng Hsieh

834 total citations
56 papers, 552 citations indexed

About

Yi‐Zeng Hsieh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yi‐Zeng Hsieh has authored 56 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Control and Systems Engineering. Recurrent topics in Yi‐Zeng Hsieh's work include Video Surveillance and Tracking Methods (7 papers), Water Quality Monitoring Technologies (6 papers) and Image Enhancement Techniques (5 papers). Yi‐Zeng Hsieh is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Water Quality Monitoring Technologies (6 papers) and Image Enhancement Techniques (5 papers). Yi‐Zeng Hsieh collaborates with scholars based in Taiwan, United States and Hong Kong. Yi‐Zeng Hsieh's co-authors include Mu‐Chun Su, Shih-Syun Lin, Yu-Lin Jeng, Pa‐Chun Wang, Ming‐Ching Chang, Mu-Chun Su, Chin-Chun Chang, Pei-Ying Chiang, Naomi A. Ubina and Shyi‐Chyi Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yi‐Zeng Hsieh

52 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi‐Zeng Hsieh Taiwan	14	141	128	53	53	50	56	552
Riasat Khan Bangladesh	16	169 1.2×	182 1.4×	79 1.5×	14 0.3×	22 0.4×	71	723
Sebastián Gutiérrez Mexico	15	102 0.7×	123 1.0×	21 0.4×	29 0.5×	60 1.2×	59	624
Dadet Pramadihanto Indonesia	12	189 1.3×	47 0.4×	33 0.6×	23 0.4×	71 1.4×	102	503
Eko Mulyanto Yuniarno Indonesia	13	236 1.7×	242 1.9×	24 0.5×	8 0.2×	22 0.4×	199	842
M. Udin Harun Al Rasyid Indonesia	16	104 0.7×	121 0.9×	34 0.6×	119 2.2×	268 5.4×	118	822
Aaqib Saeed Netherlands	12	227 1.6×	217 1.7×	27 0.5×	6 0.1×	47 0.9×	29	609
Mikhail Medvedev Russia	13	133 0.9×	148 1.2×	30 0.6×	8 0.2×	46 0.9×	79	740
Juan Ángel Pastor Franco Spain	14	55 0.4×	111 0.9×	7 0.1×	26 0.5×	79 1.6×	40	497
Salviano Soares Portugal	12	83 0.6×	79 0.6×	12 0.2×	40 0.8×	108 2.2×	74	717
Mihai Marin-Perianu Netherlands	10	305 2.2×	84 0.7×	42 0.8×	13 0.2×	193 3.9×	24	727

Countries citing papers authored by Yi‐Zeng Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Yi‐Zeng Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Zeng Hsieh. 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 Yi‐Zeng Hsieh. The network helps show where Yi‐Zeng Hsieh may publish in the future.

Co-authorship network of co-authors of Yi‐Zeng Hsieh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hsieh, Yi‐Zeng & Ming‐Ching Chang. (2025). Underwater Image Enhancement and Attenuation Restoration Based on Depth and Backscatter Estimation. IEEE Transactions on Computational Imaging. 11. 321–332. 4 indexed citations

Ubina, Naomi A., et al.. (2023). Digital Twin-Based Intelligent Fish Farming with Artificial Intelligence Internet of Things (Aiot). SSRN Electronic Journal. 8 indexed citations

Hsieh, Yi‐Zeng, et al.. (2023). The development of assisted- visually impaired people robot in the indoor environment based on deep learning. Multimedia Tools and Applications. 83(3). 6555–6578.

Hsieh, Yi‐Zeng, et al.. (2023). Underwater Unmanned Vehicles Net-Breaking Detection and Recognition System based on YOLO. 794–797. 1 indexed citations

Nan, Fan‐Hua, et al.. (2023). Coral Detection with Machine Learning. 207–209.

Hsieh, Yi‐Zeng & Po‐Yen Lee. (2023). Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 879–891. 6 indexed citations

Ubina, Naomi A., et al.. (2021). Underwater 3D Object Reconstruction for Fish Length Estimation Using Convolutional Neural Networks. 1–2. 7 indexed citations

Zhao, Yu‐Xiang, Yi‐Zeng Hsieh, & Shih-Syun Lin. (2021). The Development of an Identification Photo Booth System based on a Deep Learning Automatic Image Capturing Method. Journal of Imaging Science and Technology. 65(2). 20403–1.

Hsieh, Yi‐Zeng, et al.. (2020). Prediction of Battery Discharge States Based on the Recurrent Neural Network. 網際網路技術學刊. 21(1). 113–120. 2 indexed citations

10.

Zhao, Yu‐Xiang, et al.. (2020). Design of an IoT-Based Mountaineering Team Management Device Using Kalman Filter Algorithm. 網際網路技術學刊. 21(7). 2085–2093. 2 indexed citations

11.

Hsieh, Yi‐Zeng, et al.. (2020). ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation. Sustainability. 12(14). 5605–5605. 34 indexed citations

12.

Huang, Yung‐Hsin & Yi‐Zeng Hsieh. (2020). The Assisted Environment Information for Blind based on Video Captioning Method. 1 indexed citations

13.

Hsieh, Yi‐Zeng, et al.. (2020). The Real-Time Depth Estimation for an Occluded Person Based on a Single Image and OpenPose Method. Mathematics. 8(8). 1333–1333. 22 indexed citations

14.

Lin, Yu-Kai, Mu-Chun Su, & Yi‐Zeng Hsieh. (2020). The Application and Improvement of Deep Neural Networks in Environmental Sound Recognition. Applied Sciences. 10(17). 5965–5965. 8 indexed citations

15.

Hsieh, Yi‐Zeng, et al.. (2018). Developing a PSO-Based Projection Algorithm for a Porosity Detection System Using X-Ray CT Images of Permeable Concrete. IEEE Access. 6. 64406–64415. 8 indexed citations

16.

Su, Mu‐Chun, et al.. (2017). A Jacobian Matrix-Based Learning Machine and Its Applications in Medical Diagnosis. IEEE Access. 5. 20036–20045. 2 indexed citations

17.

Chou, Chien-Hsing, et al.. (2015). AustimSpace: A Visualized Scenario Learning Aid on Tablet PC for Chinese Children with High-Functioning Autism. Tamkang University Institutional Repository (TKUIR). 18(1). 89–95. 2 indexed citations

18.

Hsieh, Yi‐Zeng, et al.. (2015). Prediction of postoperative recovery based on a computational rules extractor. 9. 332–333. 2 indexed citations

19.

Hsieh, Yi‐Zeng, Mu‐Chun Su, & Pa‐Chun Wang. (2014). A PSO-based rule extractor for medical diagnosis. Journal of Biomedical Informatics. 49. 53–60. 24 indexed citations

20.

Hsieh, Yi‐Zeng, et al.. (2013). The development of a robot-based learning companion: a user-centered design approach. Interactive Learning Environments. 23(3). 356–372. 4 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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