Hsin-Hung Tseng

493 total citations
8 papers, 359 citations indexed

About

Hsin-Hung Tseng is a scholar working on Plant Science, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hsin-Hung Tseng has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Ecology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hsin-Hung Tseng's work include Smart Agriculture and AI (7 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and LiDAR Applications (2 papers). Hsin-Hung Tseng is often cited by papers focused on Smart Agriculture and AI (7 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and LiDAR Applications (2 papers). Hsin-Hung Tseng collaborates with scholars based in Taiwan and United States. Hsin-Hung Tseng's co-authors include Ming‐Der Yang, Yu‐Chun Hsu, Hui-Ping Tsai, Dong‐Hong Wu, Chin-Ying Yang, Christopher Stewart, Ming‐Hsin Lai, Weiling Chen, Yu Sub Sung and Wei-Cheng Tseng and has published in prestigious journals such as Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Hsin-Hung Tseng

8 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hsin-Hung Tseng Taiwan	7	216	168	112	47	45	8	359
Aleem Khaliq Italy	7	221 1.0×	214 1.3×	142 1.3×	78 1.7×	39 0.9×	13	476
Chengjian Zhang China	11	157 0.7×	175 1.0×	125 1.1×	16 0.3×	45 1.0×	23	319
Yapeng Wu China	15	273 1.3×	290 1.7×	114 1.0×	18 0.4×	81 1.8×	29	550
Gawain Jones France	10	368 1.7×	205 1.2×	101 0.9×	22 0.5×	105 2.3×	16	470
Masahiko Suguri Japan	14	281 1.3×	189 1.1×	47 0.4×	49 1.0×	139 3.1×	50	472
Diogo Nunes Gonçalves Brazil	12	224 1.0×	181 1.1×	131 1.2×	110 2.3×	80 1.8×	22	515
Pedro Henrique Guimarães Ferreira Brazil	5	86 0.4×	117 0.7×	68 0.6×	29 0.6×	27 0.6×	6	308
Nadia Delavarpour United States	6	155 0.7×	119 0.7×	77 0.7×	36 0.8×	22 0.5×	9	304
Haoyu Niu United States	12	123 0.6×	140 0.8×	112 1.0×	27 0.6×	24 0.5×	44	395

Countries citing papers authored by Hsin-Hung Tseng

Since Specialization

Citations

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

Fields of papers citing papers by Hsin-Hung Tseng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Hung Tseng. 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 Hsin-Hung Tseng. The network helps show where Hsin-Hung Tseng may publish in the future.

Co-authorship network of co-authors of Hsin-Hung Tseng

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

All Works

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8 of 8 papers shown

1.

Yang, Ming‐Der & Hsin-Hung Tseng. (2025). Rule-Based Multi-Task Deep Learning for Highly Efficient Rice Lodging Segmentation. Remote Sensing. 17(9). 1505–1505. 1 indexed citations

2.

Yang, Ming‐Der, Yu‐Chun Hsu, Wei-Cheng Tseng, Hsin-Hung Tseng, & Ming‐Hsin Lai. (2024). Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning. Computers and Electronics in Agriculture. 230. 109813–109813. 13 indexed citations

3.

Yang, Ming‐Der, et al.. (2023). Single-plant broccoli growth monitoring using deep learning with UAV imagery. Computers and Electronics in Agriculture. 207. 107739–107739. 27 indexed citations

4.

Tseng, Hsin-Hung, et al.. (2022). Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. Remote Sensing. 14(12). 2837–2837. 53 indexed citations

5.

Yang, Ming‐Der, Hsin-Hung Tseng, Yu‐Chun Hsu, et al.. (2021). A UAV Open Dataset of Rice Paddies for Deep Learning Practice. Remote Sensing. 13(7). 1358–1358. 34 indexed citations

6.

Yang, Ming‐Der, Hsin-Hung Tseng, Yu‐Chun Hsu, & Hui-Ping Tsai. (2020). Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images. Remote Sensing. 12(4). 633–633. 137 indexed citations

7.

Yang, Ming‐Der, et al.. (2020). Real-time Crop Classification Using Edge Computing and Deep Learning. 1–4. 21 indexed citations

8.

Yang, Ming‐Der, et al.. (2020). Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet. Computers and Electronics in Agriculture. 179. 105817–105817. 73 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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